Ravi Kothari
Impact in
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- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Information Systems top 2%
- Cloud Computing and Resource Management
Papers in
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- Neural Networks and Applications 7
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- Distributed and Parallel Computing Systems 4
- Co-authors
- Diptesh Ghosh (5 shared papers)Pradipta De (4 shared papers)Akshat Verma (3 shared papers)Gargi Dasgupta (3 shared papers)Tapan K. Nayak (2 shared papers)Ming Dong (1 shared paper)Mayank Gupta (1 shared paper)P. Vigneswara Ilavarasan (1 shared paper)
- Journals
- Neural Computation (3 papers)Swarm Intelligence (2 papers)Pattern Recognition (2 papers)Pattern Recognition Letters (2 papers)Information Sciences (1 paper)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Ravi Kothari
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Industrial and Manufacturing Engineering 266
- Information Systems 451
- Computer Networks and Communications 449
- Hardware and Architecture 97
- Building and Construction 141
Countries citing papers authored by Ravi Kothari
This map shows the geographic impact of Ravi Kothari'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 Ravi Kothari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kothari more than expected).
Fields of papers citing papers by Ravi Kothari
This network shows the impact of papers produced by Ravi Kothari. 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 Ravi Kothari. The network helps show where Ravi Kothari may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Kothari, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Server workload analysis for power minimization using consolidation Hit paper breakdown → | 2009 | 278 |
| 2 | 1999 | 116 | |
| 3 | 2019 | 98 | |
| 4 | 2012 | 80 | |
| 5 | 2010 | 54 | |
| 6 | 2011 | 52 | |
| 7 | 2003 | 50 | |
| 8 | 2013 | 49 | |
| 9 | 2013 | 48 | |
| 10 | 2007 | 42 | |
| 11 | 2012 | 42 | |
| 12 | 2012 | 31 | |
| 13 | 2010 | 30 | |
| 14 | 2003 | 24 | |
| 15 | 2000 | 20 | |
| 16 | 2000 | 19 | |
| 17 | 2012 | 18 | |
| 18 | 2004 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 13 |
About Ravi Kothari
Ravi Kothari is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Smart Parking Systems Research (5 papers), Optimization and Packing Problems (4 papers), Face and Expression Recognition (4 papers), Distributed and Parallel Computing Systems (4 papers), Complex Network Analysis Techniques (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (266 citations), Information Systems (451 citations), Computer Networks and Communications (449 citations), Hardware and Architecture (97 citations) and Building and Construction (141 citations). Ravi Kothari has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Diptesh Ghosh, Pradipta De, Akshat Verma, Gargi Dasgupta, Tapan K. Nayak, Ming Dong, Mayank Gupta, P. Vigneswara Ilavarasan, Marijn Janssen and Vijay Mann. Their work appears in journals such as Neural Computation, Swarm Intelligence, Pattern Recognition, Pattern Recognition Letters and Information 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.