Pranav Mehta

2.0k total citations · 3 hit papers
62 papers, 1.6k 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 1.6k 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 25 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 optimization algorithm for solv... 2023 2026 2024 2025 2023 2024 2024 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
    2023 102 citations Betül Sultan Yıldız, Sumit Kumar et al. Knowledge-Based Systems profile →
  2. A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems
    2024 53 citations Pranav Mehta, Sadiq M. Sait et al. Materials Testing profile →
  3. Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
    2024 52 citations Sadiq M. Sait, Pranav Mehta et al. Materials Testing profile →

Peers

Pranav Mehta
Sumit Kumar Australia
Natee Panagant Thailand
Hammoudi Abderazek Algeria
G. Gary Wang Canada
Sebastião Simões da Cunha Brazil
Guilherme Ferreira Gomes Brazil
Zuomin Dong Canada
João Luiz Junho Pereira Brazil
Vassili Toropov United Kingdom
J. Balič Slovenia
Sumit Kumar Australia
Pranav Mehta
Citations per year, relative to Pranav Mehta Pranav Mehta (= 1×) peers Sumit Kumar

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

20 of 20 papers shown
1.
Mehta, Pranav, et al.. (2025). Performance assessment of a novel-solar panel cooling system-assisted with solar distiller. Next research.. 2(2). 100260–100260. 1 indexed citations
2.
Mehta, Pranav, et al.. (2025). Experimental insights of a novel stepped solar distiller by augmenting condensing cover cooling and heat recovery mechanisms. Solar Energy. 294. 113506–113506. 2 indexed citations
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Mehta, Pranav, et al.. (2025). Performance assessment of rotating spiral-shaped baffles built-in solar air heater: 4E and sustainability analysis. Case Studies in Thermal Engineering. 72. 106345–106345. 3 indexed citations
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Mehta, Pranav, et al.. (2025). Performance assessment of thermal energy storage system for solar thermal applications. Scientific Reports. 15(1). 13876–13876. 7 indexed citations
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Mehta, Pranav, Sadiq M. Sait, Betül Sultan Yıldız, & Ali Rıza Yıldız. (2025). Enhanced hippopotamus optimization algorithm and artificial neural network for mechanical component design. Materials Testing. 67(4). 655–662. 4 indexed citations
9.
Mehta, Pranav, Sadiq M. Sait, Dildar Gürses, & Ali Rıza Yıldız. (2025). Aircraft wing rib component optimization using artificial neural network–assisted superb fairy-wren algorithm. Materials Testing. 67(9). 1520–1527.
10.
Mehta, Pranav, Sumit Kumar, Sadiq M. Sait, Betül Sultan Yıldız, & Ali Rıza Yıldız. (2025). Improved material generation algorithm by opposition-based learning and laplacian crossover for global optimization and advances in real-world engineering problems. Materials Testing. 67(4). 737–746. 4 indexed citations
11.
Mehta, Pranav, Ghanshyam G. Tejani, & Seyed Jalaleddin Mousavirad. (2025). Structural optimization of different truss designs using two archive multi objective crystal structure optimization algorithm. Scientific Reports. 15(1). 14575–14575. 2 indexed citations
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Mehta, Pranav, et al.. (2024). Exploring stepped solar still developments with a case study for potable water provision in salt farming regions. Sustainable Energy Technologies and Assessments. 64. 103700–103700. 11 indexed citations
14.
Mehta, Pranav, Sumit Kumar, Ghanshyam G. Tejani, & Mohammad Khishe. (2024). MOBBO: A Multiobjective Brown Bear Optimization Algorithm for Solving Constrained Structural Optimization Problems. 2024(1). 18 indexed citations
15.
Mehta, Pranav, Hammoudi Abderazek, Sumit Kumar, et al.. (2024). Comparative study of state-of-the-art metaheuristics for solving constrained mechanical design optimization problems: experimental analyses and performance evaluations. Materials Testing. 67(2). 249–281. 12 indexed citations
16.
Yıldız, Betül Sultan, Sumit Kumar, Natee Panagant, et al.. (2023). A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems. Knowledge-Based Systems. 271. 110554–110554. 102 indexed citations breakdown →
17.
Mehta, Pranav, et al.. (2022). Performance improvement and advancement studies of mixed-mode solar thermal dryers: a review. Environmental Science and Pollution Research. 29(42). 62822–62838. 17 indexed citations
18.
Mehta, Pranav, et al.. (2021). Performance assessment of conventional solar desalination system in Northern part of Gujarat. Environmental Science and Pollution Research. 29(16). 24155–24166. 8 indexed citations
19.
Mehta, Pranav, Eduardo Chielle, A. Di Giovanni, et al.. (2020). Muon-Ra: Quantum random number generation from cosmic rays. 800. 1–6. 2 indexed citations
20.
Swaminathan, Soumya, et al.. (2015). Drug resistance among extrapulmonary TB patients: Six years experience from a supranational reference laboratory. The Indian Journal of Medical Research. 142(5). 568–568. 38 indexed citations

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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