Arijit Khan
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
-
- Caching and Content Delivery
- Advanced Database Systems and Queries
Papers in
-
- Advanced Graph Neural Networks 36
- Explainable Artificial Intelligence (XAI) 7
-
- Graph Theory and Algorithms 27
- Co-authors
- Xifeng Yan (11 shared papers)Tao Shu (2 shared papers)Charų C. Aggarwal (5 shared papers)Nikos Anerousis (1 shared paper)Gustavo Alonso (1 shared paper)Yinghui Wu (7 shared papers)Bo Zong (1 shared paper)Shengqi Yang (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (10 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)ACM SIGMOD Record (3 papers)Scientific Reports (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- SingaporeUnited StatesDenmark
In The Last Decade
Arijit Khan
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Signal Processing 333
- Computer Networks and Communications 603
- Statistical and Nonlinear Physics 303
- Computer Vision and Pattern Recognition 494
- Information Systems 506
Countries citing papers authored by Arijit Khan
This map shows the geographic impact of Arijit Khan'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 Arijit Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Khan more than expected).
Fields of papers citing papers by Arijit Khan
This network shows the impact of papers produced by Arijit Khan. 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 Arijit Khan. The network helps show where Arijit Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arijit Khan, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 209 | |
| 2 | 2016 | 138 | |
| 3 | 2012 | 103 | |
| 4 | 2013 | 102 | |
| 5 | 2011 | 83 | |
| 6 | 2015 | 69 | |
| 7 | 2020 | 57 | |
| 8 | 2018 | 52 | |
| 9 | 2008 | 45 | |
| 10 | 2021 | 43 | |
| 11 | 2022 | 36 | |
| 12 | 2010 | 35 | |
| 13 | 2011 | 35 | |
| 14 | 2014 | 29 | |
| 15 | 2016 | 27 | |
| 16 | 2020 | 23 | |
| 17 | 2014 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2019 | 18 |
About Arijit Khan
Arijit Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Statistical and Nonlinear Physics, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (36 papers), Graph Theory and Algorithms (27 papers), Data Management and Algorithms (21 papers), Complex Network Analysis Techniques (20 papers), Caching and Content Delivery (8 papers), Advanced Database Systems and Queries (8 papers), Blockchain Technology Applications and Security (7 papers) and Explainable Artificial Intelligence (XAI) (7 papers). The work is most often cited by research in Signal Processing (333 citations), Computer Networks and Communications (603 citations), Statistical and Nonlinear Physics (303 citations), Computer Vision and Pattern Recognition (494 citations) and Information Systems (506 citations). Arijit Khan has collaborated with scholars based in Singapore, United States and Denmark. Frequent co-authors include Xifeng Yan, Tao Shu, Charų C. Aggarwal, Nikos Anerousis, Gustavo Alonso, Yinghui Wu, Bo Zong, Shengqi Yang, Sourav Sen Gupta and Lawrence Jenkins. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Scientific Reports and Knowledge-Based Systems.
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.