Navin Goyal
Impact in
- Computational Mathematics top 10%
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
-
- Complexity and Algorithms in Graphs 15
- Advanced Graph Theory Research 10
-
- Algorithms and Data Compression 6
- Topic Modeling 6
- Natural Language Processing Techniques 6
- Co-authors
- Shipra Agrawal (1 shared paper)Joseph Cheriyan (2 shared papers)Santosh Vempala (5 shared papers)Luis Rademacher (7 shared papers)Michael Saks (5 shared papers)Ruth J. Mayer (2 shared papers)Aili L. Lazaar (2 shared papers)Neil Olver (4 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (4 papers)British Journal of Clinical Pharmacology (3 papers)The Journal of Clinical Pharmacology (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)SIAM Journal on Computing (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Navin Goyal
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 144
- Computational Mathematics 15
- Sensory Systems 79
- Biochemistry 118
- Computational Theory and Mathematics 161
- Health Informatics 13
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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2019 | 120 | |
| 3 | 2017 | 61 | |
| 4 | 2021 | 52 | |
| 5 | 2017 | 49 | |
| 6 | 2019 | 36 | |
| 7 | 2013 | 33 | |
| 8 | 2014 | 29 | |
| 9 | 2009 | 29 | |
| 10 | 2016 | 28 | |
| 11 | 2023 | 27 | |
| 12 | 2008 | 27 | |
| 13 | 2014 | 26 | |
| 14 | 2008 | 24 | |
| 15 | 2023 | 20 | |
| 16 | 2004 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2006 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2005 | 13 |
About Navin Goyal
Navin Goyal is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Statistics and Probability and Signal Processing, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (10 papers), Statistical Methods in Clinical Trials (7 papers), Computational Geometry and Mesh Generation (6 papers), Algorithms and Data Compression (6 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Computational Mathematics (15 citations), Sensory Systems (79 citations), Biochemistry (118 citations), Computational Theory and Mathematics (161 citations) and Health Informatics (13 citations). Navin Goyal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Shipra Agrawal, Joseph Cheriyan, Santosh Vempala, Luis Rademacher, Michael Saks, Ruth J. Mayer, Aili L. Lazaar, Neil Olver, F. Bruce Shepherd and Roberto Goméni. Their work appears in journals such as Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology, The Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy and SIAM Journal on Computing.
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.