Manish Mehta

72 total papers · 2.9k total citations
35 papers, 1.3k citations indexed

About

Manish Mehta is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Manish Mehta has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 7 papers in Information Systems. Recurrent topics in Manish Mehta's work include Artificial Intelligence in Games (10 papers), Human Motion and Animation (8 papers) and Advanced Database Systems and Queries (5 papers). Manish Mehta is often cited by papers focused on Artificial Intelligence in Games (10 papers), Human Motion and Animation (8 papers) and Advanced Database Systems and Queries (5 papers). Manish Mehta collaborates with scholars based in United States, Denmark and Switzerland. Manish Mehta's co-authors include Rakesh Agrawal, John Shafer, David J. DeWitt, J. Rissanen, Blair MacIntyre, Steven P. Dow, Michael Mateas, Ashwin Ram, Santiago Ontañón and Andreas Arning and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Transportation Research Record Journal of the Transportation Research Board and The VLDB Journal.

In The Last Decade

Manish Mehta

35 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Manish Mehta 636 593 368 262 199 35 1.3k
Sunil Vadera 847 1.3× 448 0.8× 206 0.6× 78 0.3× 334 1.7× 58 1.6k
Helen Ashman 653 1.0× 617 1.0× 350 1.0× 187 0.7× 56 0.3× 83 1.5k
C. M. Sperberg‐McQueen 995 1.6× 569 1.0× 621 1.7× 163 0.6× 139 0.7× 54 1.8k
Luca Console 1.1k 1.8× 426 0.7× 429 1.2× 107 0.4× 311 1.6× 73 1.8k
Ken Kahn 619 1.0× 240 0.4× 380 1.0× 84 0.3× 137 0.7× 82 1.3k
Hal Abelson 698 1.1× 391 0.7× 215 0.6× 66 0.3× 281 1.4× 50 1.8k
Roger Nkambou 940 1.5× 721 1.2× 159 0.4× 148 0.6× 150 0.8× 101 1.7k
Ken Arnold 663 1.0× 481 0.8× 773 2.1× 80 0.3× 172 0.9× 47 1.7k
Aladdin Ayesh 543 0.9× 423 0.7× 427 1.2× 225 0.9× 52 0.3× 108 1.3k
Juan F. Huete 635 1.0× 601 1.0× 174 0.5× 164 0.6× 127 0.6× 80 1.3k

Countries citing papers authored by Manish Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Manish Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Mehta

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