K. R. K. Murthy

3.9k total citations · 2 hit papers
12 papers, 2.8k citations indexed

About

K. R. K. Murthy is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, K. R. K. Murthy has authored 12 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in K. R. K. Murthy's work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers) and Gene Regulatory Network Analysis (2 papers). K. R. K. Murthy is often cited by papers focused on Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers) and Gene Regulatory Network Analysis (2 papers). K. R. K. Murthy collaborates with scholars based in Singapore, India and Sweden. K. R. K. Murthy's co-authors include Shirish Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, Edison T. Liu, Yan Tong, Kunde Ramamoorthy Govindarajan, Lance D. Miller, Zhiyuan Gong, Yi Lian Wu and Siew Hong Lam and has published in prestigious journals such as Nature Biotechnology, PLoS Genetics and Pattern Recognition.

In The Last Decade

K. R. K. Murthy

12 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improvements to Platt's SMO Algorithm for SVM Classifier Design

2001 1.3k citations S. Sathiya Keerthi, Shirish Shevade et al. Neural Computation profile →
Improvements to the SMO algorithm for SVM regression

2000 656 citations Shirish Shevade, S. Sathiya Keerthi et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. R. K. Murthy Singapore	7	956	653	612	292	230	12	2.8k
Chi-Sing Leung Hong Kong	35	1.1k 1.2×	1.0k 1.6×	514 0.8×	295 1.0×	66 0.3×	247	4.5k
Qing Liao China	32	890 0.9×	529 0.8×	706 1.2×	109 0.4×	270 1.2×	225	3.0k
Ning Ye China	33	718 0.8×	866 1.3×	1.2k 2.0×	245 0.8×	212 0.9×	239	3.7k
Ryan Rifkin United States	17	1.4k 1.4×	810 1.2×	1.6k 2.7×	197 0.7×	149 0.6×	25	3.8k
David S. Broomhead United Kingdom	16	1.3k 1.4×	382 0.6×	558 0.9×	522 1.8×	68 0.3×	31	3.6k
Stephan Winkler Austria	23	638 0.7×	464 0.7×	583 1.0×	155 0.5×	217 0.9×	121	2.7k
Alexander Zien Germany	25	2.8k 2.9×	1.9k 2.9×	1.5k 2.4×	201 0.7×	268 1.2×	64	6.1k
Concha Bielza Spain	32	1.8k 1.9×	405 0.6×	789 1.3×	227 0.8×	333 1.4×	180	4.4k
Yongmin Li United Kingdom	31	497 0.5×	1.2k 1.9×	711 1.2×	426 1.5×	157 0.7×	155	3.7k
Francisco Azuaje United Kingdom	33	1.0k 1.1×	349 0.5×	2.5k 4.1×	163 0.6×	205 0.9×	146	5.6k

Countries citing papers authored by K. R. K. Murthy

Since Specialization

Citations

This map shows the geographic impact of K. R. 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 K. R. 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 K. R. K. Murthy more than expected).

Fields of papers citing papers by K. R. K. Murthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. R. K. Murthy. A scholar is included among the top collaborators of K. R. 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 K. R. K. Murthy. K. R. K. Murthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Murthy, K. R. K., et al.. (2006). Differential Friendly Neighbors Algorithm for Differential Relationships Based Gene Selection and Classification using Microarray Data.. 175–181. 2 indexed citations

2.

Lam, Siew Hong, Yi Lian Wu, Vinsensius B. Vega, et al.. (2005). Conservation of gene expression signatures between zebrafish and human liver tumors and tumor progression. Nature Biotechnology. 24(1). 73–75. 241 indexed citations

3.

Pawitan, Yudi, K. R. K. Murthy, Stefan Michiels, & Alexander Ploner. (2005). Bias in the estimation of false discovery rate in microarray studies. Computer applications in the biosciences. 21(20). 3865–3872. 59 indexed citations

4.

Mathavan, Sinnakaruppan, Lance D. Miller, K. R. K. Murthy, et al.. (2005). Transcriptome Analysis of Zebrafish Embryogenesis Using Microarrays. PLoS Genetics. 1(2). e29–e29. 263 indexed citations

5.

Ng, Lisa F. P., Martin L. Hibberd, Eng Eong Ooi, et al.. (2004). A human in vitro model system for investigating genome-wide host responses to SARS coronavirus infection. BMC Infectious Diseases. 4(1). 34–34. 70 indexed citations

6.

Murthy, K. R. K., et al.. (2004). Improved fourier transform method for unsupervised cell-cycle regulated gene prediction. PubMed. 270. 188–197. 6 indexed citations

7.

Murthy, K. R. K. & Vinsensius B. Vega. (2004). Friendly neighbors method for unsupervised determination of gene significance in time-course microarray data. 1676. 351–357. 2 indexed citations

8.

Murthy, K. R. K., S.S. Keerthi, & M. Narasimha Murty. (2001). Rule prepending and post-pruning approach to incremental learning of decision lists. Pattern Recognition. 34(8). 1697–1699. 3 indexed citations

9.

Keerthi, S. Sathiya, Shirish Shevade, Chiranjib Bhattacharyya, & K. R. K. Murthy. (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3). 637–649. 1277 indexed citations breakdown →

10.

Keerthi, S. Sathiya, Shirish Shevade, Chiranjib Bhattacharyya, & K. R. K. Murthy. (2000). A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Transactions on Neural Networks. 11(1). 124–136. 255 indexed citations

11.

Shevade, Shirish, S. Sathiya Keerthi, Chiranjib Bhattacharyya, & K. R. K. Murthy. (2000). Improvements to the SMO algorithm for SVM regression. IEEE Transactions on Neural Networks. 11(5). 1188–1193. 656 indexed citations breakdown →

12.

Murthy, K. R. K. & S.S. Keerthi. (1999). Context filters for document-based information filtering. 16. 709–712. 2 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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