Premalata Jena

146 total papers · 1.6k total citations
107 papers, 1.2k citations indexed

About

Premalata Jena is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Premalata Jena has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Electrical and Electronic Engineering, 90 papers in Control and Systems Engineering and 10 papers in Automotive Engineering. Recurrent topics in Premalata Jena's work include Power Systems Fault Detection (66 papers), Islanding Detection in Power Systems (63 papers) and HVDC Systems and Fault Protection (44 papers). Premalata Jena is often cited by papers focused on Power Systems Fault Detection (66 papers), Islanding Detection in Power Systems (63 papers) and HVDC Systems and Fault Protection (44 papers). Premalata Jena collaborates with scholars based in India, United States and Pakistan. Premalata Jena's co-authors include Ashok Kumar Pradhan, G. Kesava Rao, Jitendra Kumar, Narayana Prasad Padhy, Pramod Agarwal, Thanga Raj Chelliah, Mohit Mathur, K. K. Prabhakaran, Manish Kumar Goyal and Vaibhav Garg and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Smart Grid.

In The Last Decade

Premalata Jena

92 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Premalata Jena 1.1k 1.1k 53 33 32 107 1.2k
Monalisa Biswal 820 0.7× 744 0.7× 33 0.6× 47 1.4× 24 0.8× 83 913
Syed Basit Ali Bukhari 923 0.8× 813 0.8× 92 1.7× 28 0.8× 48 1.5× 52 1.0k
Chris Diduch 954 0.9× 816 0.8× 104 2.0× 12 0.4× 34 1.1× 84 1.2k
Iman Sadeghkhani 806 0.7× 753 0.7× 11 0.2× 30 0.9× 69 2.2× 62 952
Reza Noroozian 1.2k 1.1× 998 0.9× 41 0.8× 16 0.5× 127 4.0× 80 1.3k
Mahmood Joorabian 1.3k 1.2× 825 0.8× 20 0.4× 70 2.1× 81 2.5× 106 1.5k
Mário Oleskovicz 1.1k 1.0× 779 0.7× 27 0.5× 108 3.3× 25 0.8× 139 1.2k
S.K. Salman 980 0.9× 690 0.7× 40 0.8× 34 1.0× 132 4.1× 48 1.1k
Hari Om Gupta 704 0.6× 639 0.6× 18 0.3× 24 0.7× 14 0.4× 71 1.1k
Alberto Pigazo 1.2k 1.1× 940 0.9× 98 1.8× 6 0.2× 127 4.0× 73 1.3k

Countries citing papers authored by Premalata Jena

Since Specialization
Citations

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

Fields of papers citing papers by Premalata Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Premalata Jena

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