Aravind Sankar
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Advanced Graph Neural Networks 9
- Topic Modeling 3
- Text and Document Classification Technologies 1
- Anomaly Detection Techniques and Applications 1
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- Complex Network Analysis Techniques 5
- Co-authors
- Liang Gou (2 shared papers)Yanhong Wu (2 shared papers)Wei Zhang (1 shared paper)Hao Yang (1 shared paper)Adit Krishnan (6 shared papers)Xinyang Zhang (2 shared papers)Kevin Chen–Chuan Chang (2 shared papers)Hari Sundaram (4 shared papers)
- Journals
- Nucleic Acids Research (1 paper)Knowledge and Information Systems (1 paper)Psychological Reports (1 paper)Apollo (University of Cambridge) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Aravind Sankar
14 papers receiving 830 citations
Aravind Sankar's Hit Papers
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 268
- Artificial Intelligence 550
- Information Systems 226
- Transportation 58
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Aravind Sankar
This map shows the geographic impact of Aravind Sankar'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 Aravind Sankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aravind Sankar more than expected).
Fields of papers citing papers by Aravind Sankar
This network shows the impact of papers produced by Aravind Sankar. 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 Aravind Sankar. The network helps show where Aravind Sankar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aravind Sankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DySAT Hit paper breakdown → | 2020 | 406 |
| 2 | 2021 | 88 | |
| 3 | 2020 | 68 | |
| 4 | 2021 | 62 | |
| 5 | 2018 | 59 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 39 | |
| 8 | DySAT Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks | 2020 | 30 |
| 9 | 2021 | 15 | |
| 10 | 2015 | 4 | |
| 11 | Meta-GNN: Metagraph Neural Network for Semi-supervised learning in Attributed Heterogeneous Information Networks | 2019 | 4 |
| 12 | 2019 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 1964 | 1 | |
| 15 | 2022 | 0 |
About Aravind Sankar
Aravind Sankar is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Management Science and Operations Research and General Psychology, having authored 15 papers that have together received 837 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (5 papers), Complex Network Analysis Techniques (5 papers), Topic Modeling (3 papers), Research Data Management Practices (1 paper), Text and Document Classification Technologies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (268 citations), Artificial Intelligence (550 citations), Information Systems (226 citations), Transportation (58 citations) and Computer Vision and Pattern Recognition (117 citations). Aravind Sankar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Liang Gou, Yanhong Wu, Wei Zhang, Hao Yang, Adit Krishnan, Xinyang Zhang, Kevin Chen–Chuan Chang, Hari Sundaram, Jiawei Han and Jun Yu. Their work appears in journals such as Nucleic Acids Research, Knowledge and Information Systems, Psychological Reports, Apollo (University of Cambridge) and arXiv (Cornell University).
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.