A. J. Umbarkar

44 total papers · 586 total citations
23 papers, 357 citations indexed

About

A. J. Umbarkar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. J. Umbarkar has authored 23 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. J. Umbarkar's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). A. J. Umbarkar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). A. J. Umbarkar collaborates with scholars based in India, Taiwan and United States. A. J. Umbarkar's co-authors include Madhuri S. Joshi, Wei‐Chiang Hong and Sunilkumar S. Manvi and has published in prestigious journals such as Applied Mathematics and Computation, International Journal of Bio-Inspired Computation and Intelligent Systems with Applications.

In The Last Decade

A. J. Umbarkar

21 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
A. J. Umbarkar 161 68 62 50 38 23 357
Martín Pedemonte 153 1.0× 69 1.0× 62 1.0× 62 1.2× 38 1.0× 35 362
Cyril Fonlupt 224 1.4× 109 1.6× 74 1.2× 64 1.3× 31 0.8× 29 387
Julius Beneoluchi Odili 212 1.3× 92 1.4× 60 1.0× 51 1.0× 66 1.7× 41 401
John Galletly 106 0.7× 61 0.9× 44 0.7× 25 0.5× 34 0.9× 20 347
Lijing Tan 183 1.1× 83 1.2× 75 1.2× 30 0.6× 36 0.9× 31 350
Izaskun Oregi 148 0.9× 32 0.5× 62 1.0× 31 0.6× 32 0.8× 21 329
Ahmet Babalık 190 1.2× 52 0.8× 114 1.8× 28 0.6× 37 1.0× 17 318
Jianhua Liu 177 1.1× 27 0.4× 73 1.2× 68 1.4× 55 1.4× 19 350
Emilio Corchado 173 1.1× 46 0.7× 43 0.7× 29 0.6× 39 1.0× 24 352
Héctor J. Fraire-Huacuja 149 0.9× 71 1.0× 82 1.3× 35 0.7× 32 0.8× 30 362

Countries citing papers authored by A. J. Umbarkar

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Umbarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Umbarkar. 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 A. J. Umbarkar. The network helps show where A. J. Umbarkar may publish in the future.

Co-authorship network of co-authors of A. J. Umbarkar

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026