R. Motwani
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Signal Processing top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Liadan O'CallaghanSuvajyoti GuhaNita MishraAdam MeyersonJ.-C. LatombeDavid HsuMayur DatarMadhu Sudan
- Topics
- Complexity and Algorithms in Graphs (12 papers)Data Management and Algorithms (12 papers)Optimization and Search Problems (8 papers)
- Cited by
- Signal ProcessingComputer Graphics and Computer-Aided DesignComputational Theory and Mathematics
- Journals
- IEEE Transactions on Knowledge and Data EngineeringSIAM Journal on ComputingJournal of Computer and System Sciences
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
R. Motwani
39 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.8k
- Computer Networks and Communications 1.2k
- Signal Processing 1.1k
- Computational Theory and Mathematics 943
- Computer Vision and Pattern Recognition 783
Countries citing papers authored by R. Motwani
This map shows the geographic impact of R. Motwani'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 R. Motwani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Motwani more than expected).
Fields of papers citing papers by R. Motwani
This network shows the impact of papers produced by R. Motwani. 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 R. Motwani. The network helps show where R. Motwani may publish in the future.
Co-authorship network of co-authors of R. Motwani
This figure shows the co-authorship network connecting the top 25 collaborators of R. Motwani. A scholar is included among the top collaborators of R. Motwani 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 R. Motwani. R. Motwani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 124 | |
| 5 | 360 | |
| 6 | Clustering data streamsbreakdown → | 412 |
| 7 | 83 | |
| 8 | 380 | |
| 9 | Proceedings of the Second SIAM International Conference on Data Mining, SIAM 2002 | 1 |
| 10 | 11 | |
| 11 | 21 | |
| 12 | 98 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 145 | |
| 16 | 20 | |
| 17 | 24 | |
| 18 | 17 | |
| 19 | 97 | |
| 20 | 10 |
About R. Motwani
R. Motwani is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 40 papers that have together received 3.7k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (12 papers), Data Management and Algorithms (12 papers) and Optimization and Search Problems (8 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Graphics and Computer-Aided Design (254 citations) and Computational Theory and Mathematics (943 citations). R. Motwani has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Liadan O'Callaghan, Suvajyoti Guha, Nita Mishra, Adam Meyerson, J.-C. Latombe, David Hsu, Mayur Datar, Madhu Sudan, Carsten Lund and Sanjeev Arora. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, SIAM Journal on Computing and Journal of Computer and System Sciences.
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.