Champa Nandi

61 total papers · 542 total citations
35 papers, 257 citations indexed

About

Champa Nandi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Champa Nandi has authored 35 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 20 papers in Control and Systems Engineering and 8 papers in Energy Engineering and Power Technology. Recurrent topics in Champa Nandi's work include Power System Optimization and Stability (9 papers), Microgrid Control and Optimization (9 papers) and Hybrid Renewable Energy Systems (8 papers). Champa Nandi is often cited by papers focused on Power System Optimization and Stability (9 papers), Microgrid Control and Optimization (9 papers) and Hybrid Renewable Energy Systems (8 papers). Champa Nandi collaborates with scholars based in India and Australia. Champa Nandi's co-authors include Vidyasagar Potdar, Partha Pratim Ray, Suman Das, Bikram Das, Ajay Chakraborty, Ajoy Kumar Chakraborty, Ananya Bhattacharjee, Amit K. Chakraborty, Debottam Mukherjee and Abdurrahman Shuaibu Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Technological Forecasting and Social Change.

In The Last Decade

Champa Nandi

30 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
Champa Nandi	179	106	52	33	29	35	257
Cristian-Dragoș Dumitru	195 1.1×	74 0.7×	24 0.5×	15 0.5×	65 2.2×	43	328
Pasquale Vizza	220 1.2×	104 1.0×	35 0.7×	23 0.7×	33 1.1×	39	270
Yunna Wu	168 0.9×	51 0.5×	108 2.1×	32 1.0×	19 0.7×	27	300
Hassan El Moussaoui	221 1.2×	186 1.8×	48 0.9×	19 0.6×	29 1.0×	22	284
R. Meenakumari	169 0.9×	133 1.3×	63 1.2×	41 1.2×	17 0.6×	29	296
Sasi K. Kottayil	224 1.3×	129 1.2×	43 0.8×	25 0.8×	42 1.4×	42	323
Stefan Niessen	230 1.3×	59 0.6×	73 1.4×	33 1.0×	68 2.3×	30	303
Youbo Liu	256 1.4×	116 1.1×	27 0.5×	13 0.4×	32 1.1×	36	323
Tan Jian Ding	125 0.7×	77 0.7×	26 0.5×	27 0.8×	42 1.4×	33	305
Quynh T. Tran	248 1.4×	156 1.5×	39 0.8×	14 0.4×	16 0.6×	31	312

Countries citing papers authored by Champa Nandi

Since Specialization

Citations

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

Fields of papers citing papers by Champa Nandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Champa Nandi

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