Sreerama K. Murthy

1.9k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Sreerama K. Murthy is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Sreerama K. Murthy has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Sreerama K. Murthy's work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (3 papers) and AI in cancer detection (2 papers). Sreerama K. Murthy is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (3 papers) and AI in cancer detection (2 papers). Sreerama K. Murthy collaborates with scholars based in United States and Germany. Sreerama K. Murthy's co-authors include Steven L. Salzberg, Simon Kasif, Richard Beigel, H. C. Ford, R. L. White, Rupali Chandar, JianZhong Qian and Ashwani Kumar and has published in prestigious journals such as Publications of the Astronomical Society of the Pacific, Data Mining and Knowledge Discovery and Journal of Artificial Intelligence Research.

In The Last Decade

Sreerama K. Murthy

9 papers receiving 1.1k citations

Hit Papers

Automatic Construction of... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sreerama K. Murthy United States 6 690 382 201 138 100 9 1.2k
Dietrich Wettschereck United States 10 736 1.1× 246 0.6× 130 0.6× 282 2.0× 137 1.4× 15 1.1k
Kamal Ali United States 11 476 0.7× 336 0.9× 110 0.5× 168 1.2× 88 0.9× 22 877
Kevin Thompson United States 4 567 0.8× 238 0.6× 105 0.5× 105 0.8× 98 1.0× 7 845
K. Thangavel India 14 529 0.8× 247 0.6× 303 1.5× 267 1.9× 105 1.1× 101 1.1k
Pavel Brazdil Portugal 19 1.5k 2.1× 318 0.8× 243 1.2× 259 1.9× 124 1.2× 67 2.0k
Floriana Esposito Italy 20 1.0k 1.5× 455 1.2× 246 1.2× 293 2.1× 219 2.2× 176 1.7k
Harry Zhang Canada 13 745 1.1× 279 0.7× 82 0.4× 223 1.6× 135 1.4× 29 1.4k
Asit Kumar Das India 21 744 1.1× 223 0.6× 278 1.4× 215 1.6× 71 0.7× 94 1.4k
John Stutz United States 8 539 0.8× 246 0.6× 95 0.5× 116 0.8× 204 2.0× 16 922
Llew Mason Australia 10 954 1.4× 612 1.6× 275 1.4× 313 2.3× 237 2.4× 12 1.8k

Countries citing papers authored by Sreerama K. Murthy

Since Specialization
Citations

This map shows the geographic impact of Sreerama K. Murthy'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 Sreerama K. Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sreerama K. Murthy more than expected).

Fields of papers citing papers by Sreerama K. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sreerama K. Murthy. 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 Sreerama K. Murthy. The network helps show where Sreerama K. Murthy may publish in the future.

Co-authorship network of co-authors of Sreerama K. Murthy

This figure shows the co-authorship network connecting the top 25 collaborators of Sreerama K. Murthy. A scholar is included among the top collaborators of Sreerama K. Murthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sreerama K. Murthy. Sreerama K. Murthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kumar, Ashwani, et al.. (2015). Machine learning for seizure prediction: A revamped approach. 1159–1164. 2 indexed citations
2.
Murthy, Sreerama K. & JianZhong Qian. (2002). Automatic collimation in peripheral X-ray imaging. 3. 841–845. 1 indexed citations
4.
Murthy, Sreerama K.. (1998). Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey. Data Mining and Knowledge Discovery. 2(4). 345–389. 635 indexed citations breakdown →
5.
Murthy, Sreerama K. & Steven L. Salzberg. (1995). Lookahead and pathology in decision tree induction. International Joint Conference on Artificial Intelligence. 1025–1031. 65 indexed citations
6.
Murthy, Sreerama K. & Steven L. Salzberg. (1995). Decision tree induction: how effective is the greedy heuristic?. Knowledge Discovery and Data Mining. 222–227. 14 indexed citations
7.
Salzberg, Steven L., Rupali Chandar, H. C. Ford, Sreerama K. Murthy, & R. L. White. (1995). Decision trees for automated identification of cosmic-ray hits in Hubble Space Telescope images. Publications of the Astronomical Society of the Pacific. 107. 279–279. 44 indexed citations
8.
Murthy, Sreerama K., Simon Kasif, & Steven L. Salzberg. (1994). A System for Induction of Oblique Decision Trees. Journal of Artificial Intelligence Research. 2. 1–32. 358 indexed citations
9.
Murthy, Sreerama K., Simon Kasif, Steven L. Salzberg, & Richard Beigel. (1993). OC1: randomized induction of oblique decision trees. National Conference on Artificial Intelligence. 322–327. 70 indexed citations

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.

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