Meena S.M.

10 total papers · 477 total citations
6 papers, 308 citations indexed

About

Meena S.M. is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Meena S.M. has authored 6 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Meena S.M.'s work include Blockchain Technology Applications and Security (2 papers), Cloud Data Security Solutions (1 paper) and Cryptography and Data Security (1 paper). Meena S.M. is often cited by papers focused on Blockchain Technology Applications and Security (2 papers), Cloud Data Security Solutions (1 paper) and Cryptography and Data Security (1 paper). Meena S.M. collaborates with scholars based in India. Meena S.M.'s co-authors include D. G. Narayan, Prashant Narayankar, Priyadarshini Patil, Uday Kulkarni, Meenaxi M Raikar and Padmashree Desai and has published in prestigious journals such as Neural Networks and Procedia Computer Science.

In The Last Decade

Meena S.M.

4 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
Meena S.M. 164 160 77 62 41 6 308
Prashant Narayankar 141 0.9× 139 0.9× 76 1.0× 67 1.1× 37 0.9× 7 278
William Pentney 164 1.0× 130 0.8× 35 0.5× 95 1.5× 39 1.0× 8 314
Peter Brockhausen 77 0.5× 186 1.2× 66 0.9× 39 0.6× 46 1.1× 7 331
Inmar E. Givoni 122 0.7× 196 1.2× 49 0.6× 63 1.0× 30 0.7× 13 331
Luca Henzen 120 0.7× 210 1.3× 49 0.6× 56 0.9× 52 1.3× 12 272
Edward Roback 170 1.0× 216 1.4× 66 0.9× 79 1.3× 44 1.1× 6 328
Jainendra K. Navlakha 67 0.4× 97 0.6× 41 0.5× 41 0.7× 27 0.7× 7 284
Anand Desai 108 0.7× 268 1.7× 83 1.1× 107 1.7× 22 0.5× 2 330
Jiashuai Shi 62 0.4× 158 1.0× 44 0.6× 70 1.1× 26 0.6× 7 335
Brian Koziel 112 0.7× 230 1.4× 139 1.8× 46 0.7× 23 0.6× 8 339

Countries citing papers authored by Meena S.M.

Since Specialization
Citations

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

Fields of papers citing papers by Meena S.M.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meena S.M.. 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 Meena S.M.. The network helps show where Meena S.M. may publish in the future.

Co-authorship network of co-authors of Meena S.M.

This figure shows the co-authorship network connecting the top 25 collaborators of Meena S.M.. A scholar is included among the top collaborators of Meena S.M. 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 Meena S.M.. Meena S.M. 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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