Nutan Limaye
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Polynomial and algebraic computation
Papers in
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- Complexity and Algorithms in Graphs 24
- Advanced Graph Theory Research 13
- Polynomial and algebraic computation 6
- semigroups and automata theory 6
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- Coding theory and cryptography 7
- Machine Learning and Algorithms 5
- Co-authors
- K. S. V. Santhanam (11 shared papers)Srikanth Srinivasan (19 shared papers)Prajakta Nimbhorkar (5 shared papers)Meena Mahajan (9 shared papers)Hervé Fournier (6 shared papers)Samir Datta (4 shared papers)Neeraj Kayal (2 shared papers)Shehab Ismail (1 shared paper)
In The Last Decade
Nutan Limaye
39 papers receiving 191 citations
Peers
Comparison fields: 5 of 29
- Computational Theory and Mathematics 117
- Electrochemistry 16
- Discrete Mathematics and Combinatorics 8
- Cellular and Molecular Neuroscience 31
- Artificial Intelligence 56
Countries citing papers authored by Nutan Limaye
This map shows the geographic impact of Nutan Limaye'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 Nutan Limaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nutan Limaye more than expected).
Fields of papers citing papers by Nutan Limaye
This network shows the impact of papers produced by Nutan Limaye. 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 Nutan Limaye. The network helps show where Nutan Limaye may publish in the future.
Co-authors
The 15 scholars most cited alongside Nutan Limaye, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 24 | |
| 2 | 2014 | 21 | |
| 3 | 2014 | 15 | |
| 4 | 1985 | 14 | |
| 5 | 1986 | 11 | |
| 6 | 1988 | 10 | |
| 7 | 1989 | 9 | |
| 8 | 1987 | 9 | |
| 9 | 2009 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 1989 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2008 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 2009 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 1988 | 4 | |
| 20 | 2010 | 3 |
About Nutan Limaye
Nutan Limaye is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 47 papers that have together received 204 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (24 papers), Advanced Graph Theory Research (13 papers), bioluminescence and chemiluminescence research (11 papers), Coding theory and cryptography (7 papers), Polynomial and algebraic computation (6 papers), semigroups and automata theory (6 papers), Machine Learning and Algorithms (5 papers) and Electrochemical Analysis and Applications (5 papers). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Electrochemistry (16 citations), Discrete Mathematics and Combinatorics (8 citations), Cellular and Molecular Neuroscience (31 citations) and Artificial Intelligence (56 citations). Nutan Limaye has collaborated with scholars based in India, France and Germany. Frequent co-authors include K. S. V. Santhanam, Srikanth Srinivasan, Prajakta Nimbhorkar, Meena Mahajan, Hervé Fournier, Samir Datta, Neeraj Kayal, Shehab Ismail, Thomas Thierauf and D. Manjunath. Their work appears in journals such as Computational Complexity, Theory of Computing, SIAM Journal on Computing, Theory of Computing Systems and Algorithmica.
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.