Jaideep Srivastava
About
In The Last Decade
Jaideep Srivastava
304 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Information Systems 5.2k
- Artificial Intelligence 3.5k
- Computer Networks and Communications 2.8k
- Signal Processing 1.8k
- Sociology and Political Science 1.4k
Countries citing papers authored by Jaideep Srivastava
This map shows the geographic impact of Jaideep Srivastava'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 Jaideep Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaideep Srivastava more than expected).
Fields of papers citing papers by Jaideep Srivastava
This network shows the impact of papers produced by Jaideep Srivastava. 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 Jaideep Srivastava. The network helps show where Jaideep Srivastava may publish in the future.
Co-authorship network of co-authors of Jaideep Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Jaideep Srivastava. A scholar is included among the top collaborators of Jaideep Srivastava 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 Jaideep Srivastava. Jaideep Srivastava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. | 1 |
| 8 | 166 | |
| 9 | On Reciprocity in Massively Multi-player Online Game Networks | 2 |
| 10 | Improved feature selection for hematopoietic cell transplantation outcome prediction using rank aggregation | 8 |
| 11 | Al, Virtual Worlds, and Massively Multiplayer Online Games | 2 |
| 12 | Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis | 82 |
| 13 | Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis | 3 |
| 14 | Proceedings of the sixth SIAM International Conference on Data Mining | 32 |
| 15 | Managing Cyber Threats: Issues, Approaches, and Challenges (Massive Computing) | 28 |
| 16 | Aggregation Algorithms for Very Large Compressed Data Warehouses | 26 |
| 17 | 1 | |
| 18 | Data Declustering in PADMA: A PArallel Database MAnager. | 4 |
| 19 | CMD: A Multidimensional Declustering Method for Parallel Data Systems | 50 |
| 20 | DISTRIBUTED CLUSTERING ALGORITHM FOR LARGE COMPUTER NETWORKS. | 1 |
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.