Pranav Mehta

79 total papers · 1.9k total citations
62 papers, 1.5k citations indexed

About

Pranav Mehta is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Pranav Mehta has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 30 papers in Artificial Intelligence and 24 papers in Mechanical Engineering. Recurrent topics in Pranav Mehta's work include Advanced Multi-Objective Optimization Algorithms (31 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Topology Optimization in Engineering (13 papers). Pranav Mehta is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (31 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Topology Optimization in Engineering (13 papers). Pranav Mehta collaborates with scholars based in India, Türkiye and Saudi Arabia. Pranav Mehta's co-authors include Ali Rıza Yıldız, Betül Sultan Yıldız, Sadiq M. Sait, Sumit Kumar, Natee Panagant, Dildar Gürses, Seyedali Mirjalili, Sujin Bureerat, Nantiwat Pholdee and Sadiq M. Sait and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Solar Energy.

In The Last Decade

Pranav Mehta

53 papers receiving 1.5k citations

Hit Papers

A novel hybrid arithmetic... 2023 2026 2024 2023 2024 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Pranav Mehta 569 446 413 249 206 62 1.5k
Sumit Kumar 860 1.5× 838 1.9× 307 0.7× 493 2.0× 195 0.9× 52 1.9k
Natee Panagant 639 1.1× 637 1.4× 280 0.7× 381 1.5× 177 0.9× 43 1.5k
G. Gary Wang 627 1.1× 977 2.2× 309 0.7× 199 0.8× 130 0.6× 76 2.3k
Sebastião Simões da Cunha 276 0.5× 238 0.5× 645 1.6× 918 3.7× 178 0.9× 55 2.1k
Wei Hong Lim 876 1.5× 392 0.9× 260 0.6× 73 0.3× 371 1.8× 124 2.3k
Ghanshyam G. Tejani 1.0k 1.8× 1.2k 2.6× 231 0.6× 896 3.6× 157 0.8× 97 2.3k
Mengqi Hu 339 0.6× 225 0.5× 258 0.6× 57 0.2× 348 1.7× 76 2.0k
Afshin Ghanbarzadeh 588 1.0× 114 0.3× 368 0.9× 125 0.5× 215 1.0× 75 1.6k
Baotong Li 116 0.2× 208 0.5× 919 2.2× 612 2.5× 207 1.0× 116 2.0k
Ashok D. Belegundu 387 0.7× 551 1.2× 235 0.6× 679 2.7× 152 0.7× 76 1.7k

Countries citing papers authored by Pranav Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Mehta

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