M. Krishnamurthy
Impact in
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- Analytic Number Theory Research
- Mathematical Physics top 10%
- Advanced Algebra and Geometry
Papers in
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- Data Mining Algorithms and Applications 11
- Co-authors
- A. Kannan (10 shared papers)Andrew R. Booker (5 shared papers)M. Selvi (2 shared papers)K. Thangaramya (2 shared papers)R. Baskaran (4 shared papers)M. Kavitha (1 shared paper)P. Saranya (1 shared paper)K. Manivannan (1 shared paper)
- Journals
- Journal of Number Theory (2 papers)Soft Computing (2 papers)International Mathematics Research Notices (2 papers)Applied Intelligence (1 paper)Representation Theory of the American Mathematical Society (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
M. Krishnamurthy
32 papers receiving 150 citations
Peers
Comparison fields: 5 of 48
- Algebra and Number Theory 29
- Mathematical Physics 45
- Geometry and Topology 38
- Discrete Mathematics and Combinatorics 14
- Artificial Intelligence 54
Countries citing papers authored by M. Krishnamurthy
This map shows the geographic impact of M. Krishnamurthy'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 M. Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Krishnamurthy more than expected).
Fields of papers citing papers by M. Krishnamurthy
This network shows the impact of papers produced by M. Krishnamurthy. 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 M. Krishnamurthy. The network helps show where M. Krishnamurthy may publish in the future.
Co-authors
The 8 scholars most cited alongside M. Krishnamurthy, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 21 | |
| 2 | 2003 | 20 | |
| 3 | 2022 | 17 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 9 | |
| 6 | 2012 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2011 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2012 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About M. Krishnamurthy
M. Krishnamurthy is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Mathematical Physics, having authored 36 papers that have together received 166 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Advanced Algebra and Geometry (7 papers), Algebraic Geometry and Number Theory (6 papers), Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (5 papers), Analytic Number Theory Research (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Algebra and Number Theory (29 citations), Mathematical Physics (45 citations), Geometry and Topology (38 citations), Discrete Mathematics and Combinatorics (14 citations) and Artificial Intelligence (54 citations). M. Krishnamurthy has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include A. Kannan, Andrew R. Booker, M. Selvi, K. Thangaramya, R. Baskaran, M. Kavitha, P. Saranya and K. Manivannan. Their work appears in journals such as Journal of Number Theory, Soft Computing, International Mathematics Research Notices, Applied Intelligence and Representation Theory of the American Mathematical Society.
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.