Navin Goyal
Impact in
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- Advanced Bandit Algorithms Research
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in ⓘ
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- Complexity and Algorithms in Graphs 14
- Advanced Graph Theory Research 9
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- Algorithms and Data Compression 6
- Co-authors
- Shipra Agrawal (2 shared papers)Joseph Cheriyan (3 shared papers)Aili L. Lazaar (3 shared papers)Santosh Vempala (5 shared papers)Ruth J. Mayer (3 shared papers)Michael Saks (5 shared papers)Roberto Goméni (5 shared papers)Luis Rademacher (7 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (4 papers)SIAM Journal on Computing (3 papers)British Journal of Clinical Pharmacology (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)The Journal of Clinical Pharmacology (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Navin Goyal
64 papers receiving 989 citations
Peers
Comparison fields: 5 of 137
- Management Science and Operations Research 221
- Biochemistry 116
- Computational Mathematics 9
- Sensory Systems 73
- Computer Networks and Communications 183
Countries citing papers authored by Navin Goyal
This map shows the geographic impact of Navin Goyal'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 Navin Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navin Goyal more than expected).
Fields of papers citing papers by Navin Goyal
This network shows the impact of papers produced by Navin Goyal. 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 Navin Goyal. The network helps show where Navin Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Navin Goyal, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 203 | |
| 2 | 2015 | 130 | |
| 3 | 2019 | 106 | |
| 4 | 2017 | 54 | |
| 5 | 2017 | 47 | |
| 6 | 2019 | 31 | |
| 7 | 2014 | 28 | |
| 8 | 2008 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2009 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2008 | 19 | |
| 14 | 2014 | 17 | |
| 15 | 2004 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2006 | 13 | |
| 18 | 2008 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2018 | 12 |
About Navin Goyal
Navin Goyal is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Statistics and Probability, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (14 papers), Advanced Graph Theory Research (9 papers), Statistical Methods in Clinical Trials (7 papers), Algorithms and Data Compression (6 papers), Optimization and Search Problems (5 papers), Computational Geometry and Mesh Generation (5 papers), Data Management and Algorithms (4 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Management Science and Operations Research (221 citations), Biochemistry (116 citations), Computational Mathematics (9 citations), Sensory Systems (73 citations) and Computer Networks and Communications (183 citations). Navin Goyal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Shipra Agrawal, Joseph Cheriyan, Aili L. Lazaar, Santosh Vempala, Ruth J. Mayer, Michael Saks, Roberto Goméni, Luis Rademacher, Neil Olver and Lucy Yang. Their work appears in journals such as Clinical Pharmacology & Therapeutics, SIAM Journal on Computing, British Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy and The Journal of Clinical Pharmacology.
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.