Madhu Chetty

172 total papers · 1.8k total citations
93 papers, 1.0k citations indexed

About

Madhu Chetty is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Madhu Chetty has authored 93 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 37 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Madhu Chetty's work include Gene Regulatory Network Analysis (32 papers), Bioinformatics and Genomic Networks (27 papers) and Gene expression and cancer classification (27 papers). Madhu Chetty is often cited by papers focused on Gene Regulatory Network Analysis (32 papers), Bioinformatics and Genomic Networks (27 papers) and Gene expression and cancer classification (27 papers). Madhu Chetty collaborates with scholars based in Australia, India and Bangladesh. Madhu Chetty's co-authors include Md Tamjidul Hoque, Nguyễn Xuân Vinh, Pramod P. Wangikar, Mehmood Chadhar, Abdul Sattar, Ahsan Raja Chowdhury, Savanid Vatanasakdakul, Rajkumar Buyya, Ross L. Coppel and Laurence S. Dooley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Madhu Chetty

87 papers receiving 976 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Madhu Chetty	615	243	117	77	65	93	1.0k
Robert Lindsay	389 0.6×	536 2.2×	88 0.8×	48 0.6×	171 2.6×	40	1.1k
Shenghui Wang	268 0.4×	253 1.0×	111 0.9×	19 0.2×	18 0.3×	111	1.2k
Haiyan Huang	509 0.8×	118 0.5×	98 0.8×	16 0.2×	24 0.4×	81	1.2k
Yongjun Zhu	242 0.4×	244 1.0×	114 1.0×	51 0.7×	132 2.0×	63	849
Renate Kania	626 1.0×	116 0.5×	88 0.8×	104 1.4×	65 1.0×	16	946
Ying Chen	92 0.1×	174 0.7×	83 0.7×	29 0.4×	57 0.9×	72	808
Riza Batista-Navarro	260 0.4×	462 1.9×	185 1.6×	23 0.3×	42 0.6×	86	832
Kun Lü	100 0.2×	242 1.0×	176 1.5×	48 0.6×	15 0.2×	93	910
Guoying Zhang	193 0.3×	81 0.3×	74 0.6×	15 0.2×	54 0.8×	109	1.1k
Martin Romacker	608 1.0×	623 2.6×	117 1.0×	75 1.0×	62 1.0×	42	886

Countries citing papers authored by Madhu Chetty

Since Specialization

Citations

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

Fields of papers citing papers by Madhu Chetty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhu Chetty. 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 Madhu Chetty. The network helps show where Madhu Chetty may publish in the future.

Co-authorship network of co-authors of Madhu Chetty

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

All Works

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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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