Uma Govindarajan

43 total papers · 933 total citations
39 papers, 748 citations indexed

About

Uma Govindarajan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Uma Govindarajan has authored 39 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 23 papers in Control and Systems Engineering and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Uma Govindarajan's work include Microgrid Control and Optimization (22 papers), Multilevel Inverters and Converters (16 papers) and Advanced DC-DC Converters (15 papers). Uma Govindarajan is often cited by papers focused on Microgrid Control and Optimization (22 papers), Multilevel Inverters and Converters (16 papers) and Advanced DC-DC Converters (15 papers). Uma Govindarajan collaborates with scholars based in India, Malaysia and Saudi Arabia. Uma Govindarajan's co-authors include Padmanathan Kasinathan, Vigna K. Ramachandaramurthy, M.G. Umamaheswari, J. Baskaran, R. Arul, Sanjeevikumar Padmanaban, Jens Bo Holm‐Nielsen, K. Murali, Umashankar Subramaniam and Xavier Fernando and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Power Electronics and Sustainability.

In The Last Decade

Uma Govindarajan

38 papers receiving 699 citations

Author Peers

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

Author						Papers	Cites
Uma Govindarajan	561	388	122	85	85	39	748
Chin‐Woo Tan	644 1.1×	207 0.5×	89 0.7×	132 1.6×	112 1.3×	24	855
Hejun Yang	542 1.0×	203 0.5×	140 1.1×	72 0.8×	53 0.6×	56	829
Pawan Kumar	394 0.7×	234 0.6×	146 1.2×	69 0.8×	51 0.6×	54	699
Haiyun Wang	490 0.9×	269 0.7×	69 0.6×	106 1.2×	68 0.8×	58	663
Weiqing Wang	471 0.8×	157 0.4×	102 0.8×	90 1.1×	83 1.0×	30	644
Jiawei Wang	607 1.1×	295 0.8×	130 1.1×	40 0.5×	167 2.0×	73	862
Luca Moretti	599 1.1×	256 0.7×	144 1.2×	83 1.0×	157 1.8×	23	872
Qais Alsafasfeh	500 0.9×	230 0.6×	114 0.9×	52 0.6×	40 0.5×	40	709
Ehsan Akbari	659 1.2×	398 1.0×	125 1.0×	92 1.1×	104 1.2×	53	900
Umar Farid	544 1.0×	253 0.7×	73 0.6×	220 2.6×	40 0.5×	26	734

Countries citing papers authored by Uma Govindarajan

Since Specialization

Citations

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

Fields of papers citing papers by Uma Govindarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Govindarajan

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