Vijay Menon

160 total papers · 2.2k total citations
39 papers, 1.2k citations indexed

About

Vijay Menon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Vijay Menon has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Vijay Menon's work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Stock Market Forecasting Methods (5 papers). Vijay Menon is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Stock Market Forecasting Methods (5 papers). Vijay Menon collaborates with scholars based in India, United Kingdom and Poland. Vijay Menon's co-authors include K. P. Soman, E. A. Gopalakrishnan, R. Vinayakumar, Gopalakrishnan E. A, Soman K.P., Prabaharan Poornachandran, R. LOGAN EDWARDS, W. R. BUTT, S. S. LYNCH and V. Sowmya and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Vijay Menon

36 papers receiving 1.1k citations

Hit Papers

Stock price prediction us... 2017 2026 2020 2023 2017 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Vijay Menon 755 392 248 214 213 39 1.2k
Benjamin Asubam Weyori 492 0.7× 261 0.7× 244 1.0× 157 0.7× 191 0.9× 60 1.2k
E. A. Gopalakrishnan 429 0.6× 248 0.6× 224 0.9× 116 0.5× 175 0.8× 45 1.3k
Ha Young Kim 632 0.8× 298 0.8× 240 1.0× 260 1.2× 319 1.5× 12 1.0k
Priyank Thakkar 926 1.2× 377 1.0× 188 0.8× 308 1.4× 393 1.8× 29 1.2k
Emmanuel Pintelas 346 0.5× 192 0.5× 309 1.2× 42 0.2× 192 0.9× 26 1.1k
Bryan Lim 266 0.4× 199 0.5× 294 1.2× 208 1.0× 163 0.8× 12 1.1k
Juho Kanniainen 534 0.7× 214 0.5× 175 0.7× 385 1.8× 416 2.0× 82 1.1k
Rui Neves 461 0.6× 291 0.7× 236 1.0× 189 0.9× 264 1.2× 46 1.0k
White 438 0.6× 268 0.7× 501 2.0× 149 0.7× 294 1.4× 40 1.2k
Babita Majhi 350 0.5× 230 0.6× 461 1.9× 64 0.3× 116 0.5× 41 1.1k

Countries citing papers authored by Vijay Menon

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Menon. A scholar is included among the top collaborators of Vijay Menon 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 Vijay Menon. Vijay Menon 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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