S. M. Meena

98 total papers · 768 total citations
53 papers, 412 citations indexed

About

S. M. Meena is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, S. M. Meena has authored 53 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in S. M. Meena's work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Neural Network Applications (6 papers). S. M. Meena is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Neural Network Applications (6 papers). S. M. Meena collaborates with scholars based in India. S. M. Meena's co-authors include Meenaxi M Raikar, Uday Kulkarni, Priyadarshini Patil, Mohammed Moin Mulla, Sachin Shetty, Nalini C. Iyer, M. S. Anbarasi, Suresh Muthusamy, Vishwanath P. Baligar and Padmashree Desai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Real-Time Image Processing and Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation.

In The Last Decade

S. M. Meena

49 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
S. M. Meena 110 106 105 90 60 53 412
Emrah Dönmez 92 0.8× 71 0.7× 136 1.3× 53 0.6× 37 0.6× 48 396
Ricardo J. Barrientos 92 0.8× 142 1.3× 91 0.9× 24 0.3× 89 1.5× 42 399
Xiaolong Zhu 73 0.7× 50 0.5× 142 1.4× 47 0.5× 47 0.8× 27 398
Ashish Mishra 39 0.4× 138 1.3× 95 0.9× 53 0.6× 75 1.3× 37 428
Arwa Mashat 93 0.8× 116 1.1× 54 0.5× 115 1.3× 44 0.7× 35 468
Hamoud Alshammari 97 0.9× 107 1.0× 41 0.4× 75 0.8× 57 0.9× 27 378
Richa Gupta 88 0.8× 69 0.7× 108 1.0× 33 0.4× 18 0.3× 85 468
Rawad Abdulghafor 43 0.4× 68 0.6× 54 0.5× 173 1.9× 33 0.6× 48 434
Abhineet Anand 68 0.6× 202 1.9× 49 0.5× 77 0.9× 66 1.1× 49 484
Ruber Hernández-García 87 0.8× 153 1.4× 94 0.9× 18 0.2× 90 1.5× 46 453

Countries citing papers authored by S. M. Meena

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Meena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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