Parth Prajapati

42 total papers · 670 total citations
35 papers, 498 citations indexed

About

Parth Prajapati is a scholar working on Mechanical Engineering, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Parth Prajapati has authored 35 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 8 papers in Biomedical Engineering and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Parth Prajapati's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (11 papers), Heat Transfer and Optimization (9 papers) and Refrigeration and Air Conditioning Technologies (7 papers). Parth Prajapati is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (11 papers), Heat Transfer and Optimization (9 papers) and Refrigeration and Air Conditioning Technologies (7 papers). Parth Prajapati collaborates with scholars based in India, United Kingdom and Lithuania. Parth Prajapati's co-authors include Vivek Patel, Sakshum Khanna, Hussam Jouhara, Farhad Ein‐Mozaffari, Jay Vora, Rakesh Chaudhari, Sagar Paneliya, Bansi D. Raja, Indrajit Mukhopadhyay and Khaled Giasin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Applied Thermal Engineering.

In The Last Decade

Parth Prajapati

30 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
Parth Prajapati	340	173	133	79	54	35	498
Lijun Liu	370 1.1×	87 0.5×	90 0.7×	52 0.7×	82 1.5×	39	601
Masoud Goharimanesh	194 0.6×	283 1.6×	93 0.7×	31 0.4×	64 1.2×	48	535
Xilong Zhang	325 1.0×	222 1.3×	105 0.8×	65 0.8×	40 0.7×	33	593
Önder Kaşka	330 1.0×	98 0.6×	45 0.3×	141 1.8×	24 0.4×	21	602
Giovanni Petrecca	115 0.3×	78 0.5×	128 1.0×	132 1.7×	31 0.6×	23	472
Jiuyang Yu	232 0.7×	76 0.4×	65 0.5×	69 0.9×	137 2.5×	52	541
Sarim Al-Zubaidy	184 0.5×	136 0.8×	79 0.6×	132 1.7×	100 1.9×	41	482
A. Gallegos-Muñoz	218 0.6×	114 0.7×	46 0.3×	97 1.2×	35 0.6×	41	480
Julián D. Osorio	293 0.9×	88 0.5×	103 0.8×	254 3.2×	99 1.8×	37	610
David Chau	340 1.0×	90 0.5×	88 0.7×	97 1.2×	35 0.6×	23	489

Countries citing papers authored by Parth Prajapati

Since Specialization

Citations

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

Fields of papers citing papers by Parth Prajapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parth Prajapati

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