Nilesh Bansal
- Artificial Intelligence top 10%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Nick KoudasYin YangDimitris PapadiasPanagiotis G. IpeirotisWisam DakkaMichael MathioudakisFei ChiangFrank Wm. Tompa
- Topics
- Web Data Mining and Analysis (5 papers)Semantic Web and Ontologies (3 papers)Advanced Database Systems and Queries (3 papers)
- Journals
- Proceedings of the VLDB EndowmentVery Large Data BasesRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Nilesh Bansal
10 papers receiving 278 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 157
- Information Systems 154
- Statistical and Nonlinear Physics 100
- Computer Networks and Communications 86
- Signal Processing 86
Countries citing papers authored by Nilesh Bansal
This map shows the geographic impact of Nilesh Bansal'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 Nilesh Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilesh Bansal more than expected).
Fields of papers citing papers by Nilesh Bansal
This network shows the impact of papers produced by Nilesh Bansal. 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 Nilesh Bansal. The network helps show where Nilesh Bansal may publish in the future.
Co-authorship network of co-authors of Nilesh Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Bansal. A scholar is included among the top collaborators of Nilesh Bansal 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 Nilesh Bansal. Nilesh Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 32 | |
| 3 | 22 | |
| 4 | 71 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | BlogScope: a system for online analysis of high volume text streams | 55 |
| 8 | Searching the Blogosphere. | 24 |
| 9 | Seeking stable clusters in the blogosphere | 44 |
| 10 | 41 |
About Nilesh Bansal
Nilesh Bansal is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 10 papers that have together received 307 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Semantic Web and Ontologies (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (100 citations), Signal Processing (86 citations) and Information Systems (154 citations). Nilesh Bansal has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Nick Koudas, Yin Yang, Dimitris Papadias, Panagiotis G. Ipeirotis, Wisam Dakka, Michael Mathioudakis, Fei Chiang, Frank Wm. Tompa, Gautam Das and Nikos Sarkas. Their work appears in journals such as Proceedings of the VLDB Endowment, Very Large Data Bases and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.