Aneesh Sharma

2.1k total citations
27 papers, 1.1k citations indexed

About

Aneesh Sharma is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Aneesh Sharma has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Statistical and Nonlinear Physics and 8 papers in Artificial Intelligence. Recurrent topics in Aneesh Sharma's work include Complex Network Analysis Techniques (9 papers), Robotic Path Planning Algorithms (5 papers) and Opinion Dynamics and Social Influence (5 papers). Aneesh Sharma is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Robotic Path Planning Algorithms (5 papers) and Opinion Dynamics and Social Influence (5 papers). Aneesh Sharma collaborates with scholars based in United States, India and Taiwan. Aneesh Sharma's co-authors include Sreenivas Gollapudi, Jimmy Lin, Pankaj Gupta, Reza Bosagh Zadeh, Seth A. Myers, Ashish Goel, Dong Wang, Ashish Goel, Jessica Lasky‐Su and Sharad Goel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Proceedings of the VLDB Endowment and Journal of Dynamic Systems Measurement and Control.

In The Last Decade

Aneesh Sharma

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aneesh Sharma United States 12 429 408 401 299 280 27 1.1k
Sancheng Peng China 20 290 0.7× 518 1.3× 358 0.9× 534 1.8× 128 0.5× 67 1.5k
Luca Becchetti Italy 18 597 1.4× 525 1.3× 410 1.0× 517 1.7× 165 0.6× 60 1.5k
Linhong Zhu United States 14 255 0.6× 500 1.2× 403 1.0× 226 0.8× 89 0.3× 18 1.0k
Xiangyang Lan United States 5 307 0.7× 371 0.9× 735 1.8× 310 1.0× 380 1.4× 5 1.4k
Jafar Adibi United States 12 300 0.7× 343 0.8× 302 0.8× 265 0.9× 98 0.3× 24 903
Neil Shah United States 18 343 0.8× 933 2.3× 285 0.7× 305 1.0× 227 0.8× 69 1.4k
Peixiang Zhao United States 17 425 1.0× 970 2.4× 555 1.4× 411 1.4× 551 2.0× 33 1.6k
Eunjoon Cho United States 8 530 1.2× 576 1.4× 468 1.2× 454 1.5× 201 0.7× 14 2.2k
Kwan Hui Lim Singapore 19 443 1.0× 474 1.2× 153 0.4× 92 0.3× 150 0.5× 65 1.2k
Hasan Davulcu United States 18 351 0.8× 465 1.1× 156 0.4× 193 0.6× 141 0.5× 79 908

Countries citing papers authored by Aneesh Sharma

Since Specialization
Citations

This map shows the geographic impact of Aneesh Sharma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aneesh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aneesh Sharma more than expected).

Fields of papers citing papers by Aneesh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aneesh Sharma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aneesh Sharma. The network helps show where Aneesh Sharma may publish in the future.

Co-authorship network of co-authors of Aneesh Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesh Sharma. A scholar is included among the top collaborators of Aneesh Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aneesh Sharma. Aneesh Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharma, Aneesh, et al.. (2024). Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. arXiv (Cornell University). 1542–1553.
2.
Sharma, Aneesh, et al.. (2023). Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. arXiv (Cornell University). 1213–1222. 2 indexed citations
3.
Sharma, Aneesh. (2021). Healthcare Economics: Financial Impact and Limitations of Telemedicine. 2(4). 2 indexed citations
4.
Lasky‐Su, Jessica, Krishna Kamath, Aneesh Sharma, Johan Ugander, & Sharad Goel. (2020). An Experimental Study of Structural Diversity in Social Networks. Proceedings of the International AAAI Conference on Web and Social Media. 14. 661–670. 6 indexed citations
5.
Sharma, Aneesh, et al.. (2016). GraphJet. Proceedings of the VLDB Endowment. 9(13). 1281–1292. 52 indexed citations
6.
Collins, Emmanuel G., et al.. (2016). Using Dynamics to Consider Torque Constraints in Manipulator Planning With Heavy Loads. Journal of Dynamic Systems Measurement and Control. 139(5). 2 indexed citations
7.
Bhawalkar, Kshipra, Jon Kleinberg, Kevin Lewi, Tim Roughgarden, & Aneesh Sharma. (2015). Preventing Unraveling in Social Networks: The Anchored $k$-Core Problem. SIAM Journal on Discrete Mathematics. 29(3). 1452–1475. 63 indexed citations
8.
Kumar, Vinit, et al.. (2015). A Novel Architecture of Perception Oriented Web Search Engine Based on Decision Theory. Indian Journal of Science and Technology. 8(7). 635–635. 4 indexed citations
9.
Myers, Seth A., Aneesh Sharma, Pankaj Gupta, & Jimmy Lin. (2014). Information network or social network?. 493–498. 202 indexed citations
10.
Sharma, Aneesh, Camilo Ordóñez, & Emmanuel G. Collins. (2014). Robust sampling-based trajectory tracking for autonomous vehicles. 59. 3446–3451. 1 indexed citations
11.
Mishne, Gilad, Jeff Dalton, Zhenghua Li, Aneesh Sharma, & Jimmy Lin. (2013). Fast data in the era of big data. 1147–1158. 60 indexed citations
12.
Zadeh, Reza Bosagh, Ashish Goel, Kamesh Munagala, & Aneesh Sharma. (2013). On the precision of social and information networks. 63–74. 19 indexed citations
13.
Gupta, Pankaj, Ashish Goel, Jimmy Lin, et al.. (2013). WTF. 505–514. 280 indexed citations
14.
Goel, Ashish, Aneesh Sharma, Dong Wang, & Zhijun Yin. (2013). Discovering Similar Users on Twitter. 17 indexed citations
15.
Collins, Emmanuel G., et al.. (2013). Sampling-Based Trajectory Generation for Autonomous Spacecraft Rendezvous and Docking. AIAA Guidance, Navigation, and Control (GNC) Conference. 13 indexed citations
16.
Lee, Chin‐Feng, et al.. (2011). Steganographic access control in data hiding using run‐length encoding and modulo‐operations. Security and Communication Networks. 9(2). 139–148. 3 indexed citations
17.
Gollapudi, Sreenivas & Aneesh Sharma. (2009). An Axiomatic Framework for Result Diversification. IEEE Data(base) Engineering Bulletin. 32. 7–14. 4 indexed citations
18.
Gollapudi, Sreenivas & Aneesh Sharma. (2009). An axiomatic approach for result diversification. 381–390. 257 indexed citations
19.
Kao, Da‐Yu, et al.. (2009). A Case-Oriented Model of Digital Forensics on Infected Zombie Computers. 2. 1–6. 1 indexed citations
20.
Cornelius, Craig, et al.. (2007). Centralized data recording for a distributed surgical skills trainer to facilitate automated proficiency evaluation.. PubMed. 125. 28–30. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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