![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Sreenivas Subramoney
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j7]Can Firtina
, Kamlesh R. Pillai
, Gurpreet S. Kalsi
, Bharathwaj Suresh
, Damla Senol Cali
, Jeremie S. Kim
, Taha Shahroodi
, Meryem Banu Cavlak
, Joël Lindegger
, Mohammed Alser
, Juan Gómez-Luna
, Sreenivas Subramoney
, Onur Mutlu
:
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis. ACM Trans. Archit. Code Optim. 21(1): 19:1-19:29 (2024) - [c45]Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu:
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution. ISCA 2024: 88-102 - [c44]Alan Nair, Sandeep Kumar, Aravinda Prasad, Ying Huang, Andy Rudoff, Sreenivas Subramoney:
Telescope: Telemetry for Gargantuan Memory Footprint Applications. USENIX ATC 2024: 409-424 - [i21]Souvik Kundu, Anthony Sarah, Vinay Joshi, Om Ji Omer, Sreenivas Subramoney:
CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware. CoRR abs/2402.11780 (2024) - [i20]Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney:
Taming Server Memory TCO with Multiple Software-Defined Compressed Tiers. CoRR abs/2404.13886 (2024) - [i19]Vinay Joshi, Prashant Laddha, Shambhavi Sinha
, Om Ji Omer, Sreenivas Subramoney:
QCQA: Quality and Capacity-aware grouped Query Attention. CoRR abs/2406.10247 (2024) - [i18]Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu:
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution. CoRR abs/2406.18786 (2024) - [i17]Rajat Jain, Aravinda Prasad, Sreenivas Subramoney, Arkaprava Basu:
iMIV: in-Memory Integrity Verification for NVM. CoRR abs/2407.09180 (2024) - 2023
- [j6]Raghav Singhal
, Vivek Saraswat
, Shreyas Deshmukh
, Sreenivas Subramoney, Laxmeesha Somappa
, Maryam Shojaei Baghini
, Udayan Ganguly
:
Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks 165: 1050-1057 (2023) - [c43]Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya
, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA 2023: 259-272 - [i16]Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR abs/2302.08687 (2023) - [i15]Quintin Fettes
, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney:
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR abs/2304.07941 (2023) - [i14]Shivank Garg, Aravinda Prasad, Debadatta Mishra, Sreenivas Subramoney:
Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs. CoRR abs/2310.03370 (2023) - [i13]Alan Nair, Sandeep Kumar, Aravinda Prasad, Andy Rudoff, Sreenivas Subramoney:
Telescope: Telemetry at Terabyte Scale. CoRR abs/2311.10275 (2023) - 2022
- [j5]Biji George
, Om Ji Omer, Ziaul Choudhury
, Anoop V, Sreenivas Subramoney:
A Unified Programmable Edge Matrix Processor for Deep Neural Networks and Matrix Algebra. ACM Trans. Embed. Comput. Syst. 21(5): 63:1-63:30 (2022) - [j4]Sparsh Mittal
, Poonam Rajput, Sreenivas Subramoney:
A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5095-5115 (2022) - [c42]Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney:
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. CVPR 2022: 1226-1235 - [c41]Sudhanshu Shukla, Sumeet Bandishte, Jayesh Gaur, Sreenivas Subramoney:
Register file prefetching. ISCA 2022: 410-423 - [c40]Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. ISCA 2022: 638-655 - [c39]Shixin Song, Tanvir Ahmed Khan
, Sara Mahdizadeh-Shahri, Akshitha Sriraman, Niranjan K. Soundararajan, Sreenivas Subramoney, Daniel A. Jiménez, Heiner Litz, Baris Kasikci
:
Thermometer: profile-guided btb replacement for data center applications. ISCA 2022: 742-756 - [c38]Pramod Kumar Bharti, Saurabh Jain, Kamlesh R. Pillai, Sagar Varma Sayyaparaju, Gurpreet S. Kalsi, Joycee Mekie, Sreenivas Subramoney:
Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads. ISCAS 2022: 2963-2967 - [c37]Logan Moody, Wei Qi, Abdolrasoul Sharifi, Layne Berry, Joey Rudek, Jayesh Gaur, Jeff Parkhurst, Sreenivas Subramoney, Kevin Skadron
, Ashish Venkat:
Speculative Code Compaction: Eliminating Dead Code via Speculative Microcode Transformations. MICRO 2022: 162-180 - [c36]Ashwin Sanjay Lele, Srivatsava Jandhyala
, Saurabh Gangurde, Virendra Singh, Sreenivas Subramoney
, Udayan Ganguly
:
Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache. VDAT 2022: 499-512 - [i12]Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping. CoRR abs/2205.05883 (2022) - [i11]Dipan Mandal, Abhilash Jain, Sreenivas Subramoney:
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video. CoRR abs/2205.09821 (2022) - [i10]Can Firtina, Kamlesh R. Pillai, Gurpreet S. Kalsi, Bharathwaj Suresh, Damla Senol Cali, Jeremie S. Kim, Taha Shahroodi, Meryem Banu Cavlak, Joël Lindegger, Mohammed Alser, Juan Gómez-Luna, Sreenivas Subramoney, Onur Mutlu:
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis. CoRR abs/2207.09765 (2022) - 2021
- [c35]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC 2021: 253-258 - [c34]C. N. Ramachandra, Anirban Nag, Rajeev Balasubramonian, Gurpreet S. Kalsi, Kamlesh R. Pillai, Sreenivas Subramoney:
ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis. FCCM 2021: 268-269 - [c33]Anant V. Nori, Rahul Bera
, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney:
REDUCT: Keep it Close, Keep it Cool! : Efficient Scaling of DNN Inference on Multi-core CPUs with Near-Cache Compute. ISCA 2021: 167-180 - [c32]Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney:
Radiant: efficient page table management for tiered memory systems. ISMM 2021: 66-79 - [c31]Michael LeMay
, Joydeep Rakshit, Sergej Deutsch, David M. Durham, Santosh Ghosh, Anant Nori, Jayesh Gaur, Andrew Weiler, Salmin Sultana, Karanvir Grewal, Sreenivas Subramoney:
Cryptographic Capability Computing. MICRO 2021: 253-267 - [c30]Niranjan K. Soundararajan, Peter Braun, Tanvir Ahmed Khan
, Baris Kasikci
, Heiner Litz, Sreenivas Subramoney:
PDede: Partitioned, Deduplicated, Delta Branch Target Buffer. MICRO 2021: 779-791 - [c29]Tanvir Ahmed Khan
, Nathan Brown, Akshitha Sriraman, Niranjan K. Soundararajan, Rakesh Kumar, Joseph Devietti
, Sreenivas Subramoney, Gilles A. Pokam, Heiner Litz, Baris Kasikci
:
Twig: Profile-Guided BTB Prefetching for Data Center Applications. MICRO 2021: 816-829 - [c28]Rahul Bera
, Konstantinos Kanellopoulos, Anant Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu:
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. MICRO 2021: 1121-1137 - [i9]Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney:
Page Table Management for Heterogeneous Memory Systems. CoRR abs/2103.10779 (2021) - [i8]Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu:
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. CoRR abs/2109.12021 (2021) - [i7]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR abs/2110.01752 (2021) - [i6]Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney:
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. CoRR abs/2111.08434 (2021) - 2020
- [j3]Sakshi Tiwari
, Shreshth Tuli, Isaar Ahmad, Ayushi Agarwal, Preeti Ranjan Panda, Sreenivas Subramoney
:
REAL: REquest Arbitration in Last Level Caches. ACM Trans. Embed. Comput. Syst. 18(6): 115:1-115:24 (2020) - [c27]Saurabh Gupta, Niranjan Soundararajan, Ragavendra Natarajan, Sreenivas Subramoney
:
Opportunistic Early Pipeline Re-steering for Data-dependent Branches. PACT 2020: 305-316 - [c26]Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney
, John Sampson, Vijaykrishnan Narayanan
:
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE 2020: 180-185 - [c25]Prashant Laddha, Om Ji Omer, Gurpreet Singh Kalsi, Dipan Kumar Mandal, Sreenivas Subramoney:
Descriptor Scoring for Feature Selection in Real-Time Visual Slam. ICIP 2020: 2601-2605 - [c24]Anirud Thyagharajan, Om Ji Omer, Dipan Mandal, Sreenivas Subramoney
:
Towards Noise Resilient SLAM. ICRA 2020: 72-79 - [c23]Sumeet Bandishte, Jayesh Gaur, Zeev Sperber, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
:
Focused Value Prediction. ISCA 2020: 79-91 - [c22]Adarsh Chauhan, Jayesh Gaur, Zeev Sperber, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
:
Auto-Predication of Critical Branches. ISCA 2020: 92-104 - [c21]Antara Ganguly, Shankar Balachandran, Anant V. Nori, Virendra Singh, Sreenivas Subramoney
:
Characterization of Data Generating Neural Network Applications on x86 CPU Architecture. ISPASS 2020: 121-122 - [c20]Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan
, Sreenivas Subramoney
:
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. MICRO 2020: 88-101 - [c19]Damla Senol Cali
, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney
, Can Alkan
, Saugata Ghose, Onur Mutlu:
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. MICRO 2020: 951-966 - [i5]Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. CoRR abs/2009.07692 (2020) - [i4]Anant V. Nori, Rahul Bera
, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney:
Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute. CoRR abs/2011.11695 (2020) - [i3]Om Ji Omer, Prashant Laddha, Gurpreet S. Kalsi, Anirud Thyagharajan, Kamlesh R. Pillai, Abhimanyu Kulkarni, Anbang Yao, Yurong Chen, Sreenivas Subramoney:
AccSS3D: Accelerator for Spatially Sparse 3D DNNs. CoRR abs/2011.12669 (2020)
2010 – 2019
- 2019
- [c18]Dipan Kumar Mandal, Srivatsava Jandhyala, Om Ji Omer, Gurpreet S. Kalsi, Biji George, Gopi Neela, Santhosh Kumar Rethinagiri, Sreenivas Subramoney
, Lance Hacking, Jim Radford, Eagle Jones, Belliappa Kuttanna, Hong Wang:
Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power. DATE 2019: 960-963 - [c17]Mainak Chaudhuri, Jayesh Gaur, Sreenivas Subramoney
:
Bandwidth-Aware Last-Level Caching: Efficiently Coordinating Off-Chip Read and Write Bandwidth. ICCD 2019: 109-118 - [c16]Niranjan Soundararajan, Saurabh Gupta, Ragavendra Natarajan, Jared Stark, Rahul Pal, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
:
Towards the adoption of Local Branch Predictors in Modern Out-of-Order Superscalar Processors. MICRO 2019: 519-530 - [c15]Rahul Bera
, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney
:
DSPatch: Dual Spatial Pattern Prefetcher. MICRO 2019: 531-544 - [i2]Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney:
DSPatch: Dual Spatial Pattern Prefetcher. CoRR abs/1910.03075 (2019) - 2018
- [c14]Lavanya Subramanian, Kaushik Vaidyanathan, Anant Nori, Sreenivas Subramoney
, Tanay Karnik, Hong Wang:
Closed yet open DRAM: achieving low latency and high performance in DRAM memory systems. DAC 2018: 170:1-170:6 - [c13]Anant Nori, Jayesh Gaur, Siddharth Rai
, Sreenivas Subramoney
, Hong Wang:
Criticality Aware Tiered Cache Hierarchy: A Fundamental Relook at Multi-Level Cache Hierarchies. ISCA 2018: 96-109 - [c12]Kunal Korgaonkar, Ishwar Bhati, Huichu Liu, Jayesh Gaur, Sasikanth Manipatruni, Sreenivas Subramoney
, Tanay Karnik, Steven Swanson
, Ian Young, Hong Wang:
Density Tradeoffs of Non-Volatile Memory as a Replacement for SRAM Based Last Level Cache. ISCA 2018: 315-327 - [c11]Sriseshan Srikanth, Lavanya Subramanian, Sreenivas Subramoney
, Thomas M. Conte, Hong Wang:
Tackling memory access latency through DRAM row management. MEMSYS 2018: 137-147 - [i1]Ishwar Bhati, Udit Dhawan, Jayesh Gaur, Sreenivas Subramoney, Hong Wang:
MARS: Memory Aware Reordered Source. CoRR abs/1808.03518 (2018) - 2017
- [j2]Mainak Chaudhuri, Mukesh Agrawal, Jayesh Gaur, Sreenivas Subramoney
:
Micro-Sector Cache: Improving Space Utilization in Sectored DRAM Caches. ACM Trans. Archit. Code Optim. 14(1): 7:1-7:29 (2017) - [j1]Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
:
Cooperative Multi-Agent Reinforcement Learning-Based Co-optimization of Cores, Caches, and On-chip Network. ACM Trans. Archit. Code Optim. 14(4): 32:1-32:25 (2017) - [c10]Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
:
A coordinated multi-agent reinforcement learning approach to multi-level cache co-partitioning. DATE 2017: 800-805 - [c9]Jayesh Gaur, Mainak Chaudhuri, Pradeep Ramachandran, Sreenivas Subramoney
:
Near-Optimal Access Partitioning for Memory Hierarchies with Multiple Heterogeneous Bandwidth Sources. HPCA 2017: 13-24 - 2016
- [c8]Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney:
Machine Learned Machines: Adaptive co-optimization of caches, cores, and On-chip Network. DATE 2016: 253-256 - [c7]Jayesh Gaur, Alaa R. Alameldeen, Sreenivas Subramoney
:
Base-Victim Compression: An Opportunistic Cache Compression Architecture. ISCA 2016: 317-328 - 2014
- [c6]Preeti Ranjan Panda, Namita Sharma, Arun Kumar Pilania, Gummidipudi Krishnaiah, Sreenivas Subramoney
, Ashok Jagannathan:
Array scalarization in high level synthesis. ASP-DAC 2014: 622-627 - 2013
- [c5]Jayesh Gaur, Raghuram Srinivasan, Sreenivas Subramoney
, Mainak Chaudhuri:
Efficient management of last-level caches in graphics processors for 3D scene rendering workloads. MICRO 2013: 395-407 - 2012
- [c4]Mainak Chaudhuri, Jayesh Gaur, Nithiyanandan Bashyam, Sreenivas Subramoney
, Joseph Nuzman:
Introducing hierarchy-awareness in replacement and bypass algorithms for last-level caches. PACT 2012: 293-304 - 2011
- [c3]Jayesh Gaur, Mainak Chaudhuri, Sreenivas Subramoney
:
Bypass and insertion algorithms for exclusive last-level caches. ISCA 2011: 81-92
2000 – 2009
- 2004
- [c2]Ali-Reza Adl-Tabatabai, Richard L. Hudson, Mauricio J. Serrano, Sreenivas Subramoney
:
Prefetch inection based on hardware monitoring and object metadata. PLDI 2004: 267-276 - 2000
- [c1]Richard L. Hudson, J. Eliot B. Moss, Sreenivas Subramoney
, Weldon Washburn:
Cycles to Recycle: Garbage Collection on the IA-64. ISMM 2000: 101-110
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-17 23:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint