Anil Jadhav

46 total papers · 1.2k total citations
25 papers, 669 citations indexed

About

Anil Jadhav is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Anil Jadhav has authored 25 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Anil Jadhav's work include Software Engineering Research (4 papers), Imbalanced Data Classification Techniques (3 papers) and Stock Market Forecasting Methods (3 papers). Anil Jadhav is often cited by papers focused on Software Engineering Research (4 papers), Imbalanced Data Classification Techniques (3 papers) and Stock Market Forecasting Methods (3 papers). Anil Jadhav collaborates with scholars based in India, Saudi Arabia and Egypt. Anil Jadhav's co-authors include Rajendra Sonar, Krishnan Ramanathan, Dhanya Pramod, Mandeep Kaur, Samih M. Mostafa, Hela Elmannai, Faten Khalid Karim, K Sreelakshmi, Jehad Al Dallal and Niladri Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Sciences.

In The Last Decade

Anil Jadhav

18 papers receiving 617 citations

Hit Papers

Comparison of Performance... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Anil Jadhav 170 148 114 86 56 25 669
Kevin Kam Fung Yuen 256 1.5× 133 0.9× 275 2.4× 30 0.3× 50 0.9× 67 614
Erik M. Fredericks 260 1.5× 149 1.0× 82 0.7× 99 1.2× 133 2.4× 27 591
Xingsen Li 108 0.6× 107 0.7× 297 2.6× 57 0.7× 20 0.4× 83 732
Terry R. Rakes 73 0.4× 151 1.0× 127 1.1× 113 1.3× 123 2.2× 42 732
Brahim Ouhbi 295 1.7× 146 1.0× 172 1.5× 40 0.5× 36 0.6× 75 697
T. Miranda Lakshmi 116 0.7× 66 0.4× 162 1.4× 87 1.0× 39 0.7× 17 613
Taner Bi̇lgi̇ç 160 0.9× 69 0.5× 188 1.6× 250 2.9× 29 0.5× 37 663
C. Robert Kenley 179 1.1× 69 0.5× 137 1.2× 58 0.7× 34 0.6× 35 655
Wenshuai Wu 135 0.8× 81 0.5× 263 2.3× 31 0.4× 29 0.5× 29 557
Ori Stitelman 190 1.1× 99 0.7× 126 1.1× 27 0.3× 47 0.8× 9 608

Countries citing papers authored by Anil Jadhav

Since Specialization
Citations

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

Fields of papers citing papers by Anil Jadhav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Jadhav

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