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 38
- Explainable Artificial Intelligence (XAI) 7
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- Graph Theory and Algorithms 29
- 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)Sourav Sen Gupta (3 shared papers)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)Computational and Structural Biotechnology Journal (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- SingaporeDenmarkUnited States
In The Last Decade
Arijit Khan
75 papers receiving 1.6k citations
Arijit Khan's Hit Papers
Peers
Comparison fields: 5 of 83
- Signal Processing 376
- Computer Networks and Communications 687
- Statistical and Nonlinear Physics 349
- Computer Vision and Pattern Recognition 554
- Information Systems 589
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Workload characterization and prediction in the cloud: A multiple time series approach Hit paper breakdown → | 2012 | 236 |
| 2 | 2016 | 142 | |
| 3 | 2012 | 116 | |
| 4 | 2013 | 114 | |
| 5 | 2011 | 94 | |
| 6 | 2015 | 73 | |
| 7 | 2020 | 65 | |
| 8 | 2018 | 59 | |
| 9 | 2021 | 52 | |
| 10 | 2008 | 51 | |
| 11 | 2010 | 45 | |
| 12 | 2011 | 42 | |
| 13 | 2022 | 42 | |
| 14 | 2014 | 31 | |
| 15 | 2016 | 30 | |
| 16 | 2020 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2017 | 24 | |
| 19 | 2018 | 24 | |
| 20 | 2014 | 24 |
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 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (38 papers), Graph Theory and Algorithms (29 papers), Data Management and Algorithms (23 papers), Complex Network Analysis Techniques (20 papers), Advanced Database Systems and Queries (8 papers), Caching and Content Delivery (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 (376 citations), Computer Networks and Communications (687 citations), Statistical and Nonlinear Physics (349 citations), Computer Vision and Pattern Recognition (554 citations) and Information Systems (589 citations). Arijit Khan has collaborated with scholars based in Singapore, Denmark and United States. Frequent co-authors include Xifeng Yan, Tao Shu, Charų C. Aggarwal, Nikos Anerousis, Gustavo Alonso, Yinghui Wu, Sourav Sen Gupta, Shengqi Yang, Bo Zong 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, Computational and Structural Biotechnology Journal 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.