Subhransu Padhee

55 total papers · 535 total citations
36 papers, 328 citations indexed

About

Subhransu Padhee is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Subhransu Padhee has authored 36 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 17 papers in Control and Systems Engineering and 9 papers in Automotive Engineering. Recurrent topics in Subhransu Padhee's work include Advanced DC-DC Converters (11 papers), Multilevel Inverters and Converters (8 papers) and Advanced Battery Technologies Research (8 papers). Subhransu Padhee is often cited by papers focused on Advanced DC-DC Converters (11 papers), Multilevel Inverters and Converters (8 papers) and Advanced Battery Technologies Research (8 papers). Subhransu Padhee collaborates with scholars based in India, Czechia and China. Subhransu Padhee's co-authors include Umesh Chandra Pati, Joyanta Kumar Roy, Kamalakanta Mahapatra, Rajeev Gupta, Yogesh Singh, Yaduvir Singh, Libor Pekař, F. Zezulka, Mengjie Song and Ambarish Panda and has published in prestigious journals such as Scientific Reports, Applied Thermal Engineering and IEEE Sensors Journal.

In The Last Decade

Subhransu Padhee

33 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Subhransu Padhee 153 152 50 48 48 36 328
S. Selvaperumal 113 0.7× 129 0.8× 52 1.0× 26 0.5× 40 0.8× 42 342
Rahmat Aazami 264 1.7× 133 0.9× 35 0.7× 15 0.3× 47 1.0× 27 355
M Mathankumar 148 1.0× 52 0.3× 66 1.3× 27 0.6× 19 0.4× 45 278
Akbar Ahmad 129 0.8× 56 0.4× 54 1.1× 28 0.6× 28 0.6× 27 286
Sujit S. Pardeshi 114 0.7× 68 0.4× 31 0.6× 175 3.6× 37 0.8× 36 345
Elvia R. Palacios-Hernández 174 1.1× 147 1.0× 98 2.0× 59 1.2× 23 0.5× 27 363
Omar Rodríguez-Abreo 142 0.9× 139 0.9× 23 0.5× 43 0.9× 117 2.4× 26 362
Raafat Shalaby 72 0.5× 206 1.4× 47 0.9× 43 0.9× 49 1.0× 36 348
Tiancheng Shi 246 1.6× 130 0.9× 11 0.2× 56 1.2× 25 0.5× 23 355
Nadji Hadroug 94 0.6× 191 1.3× 76 1.5× 54 1.1× 44 0.9× 37 366

Countries citing papers authored by Subhransu Padhee

Since Specialization
Citations

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

Fields of papers citing papers by Subhransu Padhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhransu Padhee

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