Bansi D. Raja

40 total papers · 673 total citations
35 papers, 521 citations indexed

About

Bansi D. Raja is a scholar working on Mechanical Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Bansi D. Raja has authored 35 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 14 papers in Computational Theory and Mathematics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Bansi D. Raja's work include Heat Transfer and Optimization (16 papers), Refrigeration and Air Conditioning Technologies (14 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Bansi D. Raja is often cited by papers focused on Heat Transfer and Optimization (16 papers), Refrigeration and Air Conditioning Technologies (14 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Bansi D. Raja collaborates with scholars based in India, United Kingdom and Lithuania. Bansi D. Raja's co-authors include Vivek Patel, Ramdevsinh Jhala, Hussam Jouhara, Parth Prajapati, Anurag Mudgal, Vimal Savsani, Ali Rıza Yıldız, G. Srinivasan, Jay Vora and Sakshum Khanna and has published in prestigious journals such as Energy Conversion and Management, Energy and Applied Thermal Engineering.

In The Last Decade

Bansi D. Raja

32 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Bansi D. Raja 409 111 78 59 54 35 521
Rohit Kumar Singla 355 0.9× 39 0.4× 50 0.6× 32 0.5× 31 0.6× 39 589
Kevin J. Dowding 155 0.4× 66 0.6× 49 0.6× 17 0.3× 15 0.3× 42 602
Mustafa Turhan Çoban 195 0.5× 60 0.5× 14 0.2× 90 1.5× 22 0.4× 30 497
Shuhaimi Mahadzir 206 0.5× 45 0.4× 15 0.2× 73 1.2× 19 0.4× 39 551
Lin Fu 146 0.4× 30 0.3× 32 0.4× 27 0.5× 61 1.1× 32 478
Douglas C. Hittle 128 0.3× 58 0.5× 12 0.2× 78 1.3× 234 4.3× 31 534
Amit Kumar Das 166 0.4× 72 0.6× 9 0.1× 111 1.9× 13 0.2× 32 456
Pham Luu Trung Duong 116 0.3× 45 0.4× 17 0.2× 19 0.3× 16 0.3× 48 522
Hervé Guéguen 116 0.3× 93 0.8× 21 0.3× 24 0.4× 137 2.5× 53 545
Younghwan Joo 318 0.8× 94 0.8× 5 0.1× 13 0.2× 38 0.7× 24 470

Countries citing papers authored by Bansi D. Raja

Since Specialization
Citations

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

Fields of papers citing papers by Bansi D. Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bansi D. Raja. 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 Bansi D. Raja. The network helps show where Bansi D. Raja may publish in the future.

Co-authorship network of co-authors of Bansi D. Raja

This figure shows the co-authorship network connecting the top 25 collaborators of Bansi D. Raja. A scholar is included among the top collaborators of Bansi D. Raja 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 Bansi D. Raja. Bansi D. Raja 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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