Abir De
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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- Complex Network Analysis Techniques 17
- Opinion Dynamics and Social Influence 13
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- Advanced Graph Neural Networks 9
- Topic Modeling 5
- Machine Learning and Algorithms 4
- Co-authors
- Niloy Ganguly (16 shared papers)Manuel Gomez-Rodriguez (10 shared papers)Sourangshu Bhattacharya (10 shared papers)Soumen Chakrabarti (10 shared papers)Utkarsh Upadhyay (4 shared papers)Bidisha Samanta (4 shared papers)Ali Zarezade (4 shared papers)Bernhard Schölkopf (1 shared paper)
- Journals
- ACM Transactions on Intelligent Systems and Technology (2 papers)Journal of Machine Learning Research (1 paper)ACM Transactions on the Web (1 paper)PLoS Computational Biology (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Abir De
37 papers receiving 524 citations
Peers
Comparison fields: 5 of 96
- Statistical and Nonlinear Physics 176
- Artificial Intelligence 211
- Health Informatics 8
- Transportation 35
- Computer Science Applications 22
Countries citing papers authored by Abir De
This map shows the geographic impact of Abir De'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 Abir De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abir De more than expected).
Fields of papers citing papers by Abir De
This network shows the impact of papers produced by Abir De. 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 Abir De. The network helps show where Abir De may publish in the future.
Co-authors
The 25 scholars most cited alongside Abir De, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2019 | 85 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 36 | |
| 5 | Deep Reinforcement Learning of Marked Temporal Point Processes | 2018 | 35 |
| 6 | Learning and Forecasting Opinion Dynamics in Social Networks | 2016 | 35 |
| 7 | 2015 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2022 | 12 | |
| 14 | Steering Social Activity: A Stochastic Optimal Control Point Of View | 2018 | 11 |
| 15 | 2021 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2017 | 8 |
About Abir De
Abir De is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Transportation, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 43 papers that have together received 548 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (13 papers), Advanced Graph Neural Networks (9 papers), Human Mobility and Location-Based Analysis (8 papers), Topic Modeling (5 papers), Point processes and geometric inequalities (4 papers), Machine Learning and Algorithms (4 papers) and Quantum many-body systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (176 citations), Artificial Intelligence (211 citations), Health Informatics (8 citations), Transportation (35 citations) and Computer Science Applications (22 citations). Abir De has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Niloy Ganguly, Manuel Gomez-Rodriguez, Sourangshu Bhattacharya, Soumen Chakrabarti, Utkarsh Upadhyay, Bidisha Samanta, Ali Zarezade, Bernhard Schölkopf, Behzad Tabibian and Gourhari Jana. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Journal of Machine Learning Research, ACM Transactions on the Web, PLoS Computational Biology and IEEE Transactions on Knowledge and Data Engineering.
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.