Deba Prasad Dash

54 total papers · 581 total citations
30 papers, 380 citations indexed

About

Deba Prasad Dash is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Deba Prasad Dash has authored 30 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 9 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Deba Prasad Dash's work include Electric Power System Optimization (14 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (9 papers). Deba Prasad Dash is often cited by papers focused on Electric Power System Optimization (14 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (9 papers). Deba Prasad Dash collaborates with scholars based in India, United States and Iran. Deba Prasad Dash's co-authors include Maheshkumar H. Kolekar, Mousumi Basu, Kamlesh Jha, Mohammad R. Khosravi, Chinmay Chakraborty, Mousumi Basu, Renu Sharma, Rakesh Roshan, Anirban Dutta and Uttama Lahiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbon and Solar Energy.

In The Last Decade

Deba Prasad Dash

30 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Deba Prasad Dash	163	122	66	57	55	30	380
Muhammad Shuaib Qureshi	82 0.5×	100 0.8×	43 0.7×	54 0.9×	67 1.2×	40	430
Ran Tao	137 0.8×	77 0.6×	49 0.7×	78 1.4×	55 1.0×	44	439
N. J. Sairamya	53 0.3×	243 2.0×	111 1.7×	42 0.7×	58 1.1×	19	382
Rahul Upadhyay	53 0.3×	252 2.1×	123 1.9×	46 0.8×	58 1.1×	49	424
Emine Doğru Bolat	45 0.3×	124 1.0×	44 0.7×	94 1.6×	34 0.6×	29	343
Ang Li	137 0.8×	106 0.9×	44 0.7×	25 0.4×	43 0.8×	19	402
Akram M. Abdurraqeeb	50 0.3×	231 1.9×	51 0.8×	53 0.9×	31 0.6×	21	358
G. Gritsch	228 1.4×	162 1.3×	27 0.4×	12 0.2×	46 0.8×	32	432
Huihui Zhou	187 1.1×	274 2.2×	43 0.7×	15 0.3×	105 1.9×	16	420
Han Zhang	113 0.7×	197 1.6×	39 0.6×	35 0.6×	50 0.9×	25	401

Countries citing papers authored by Deba Prasad Dash

Since Specialization

Citations

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

Fields of papers citing papers by Deba Prasad Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deba Prasad Dash. 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 Deba Prasad Dash. The network helps show where Deba Prasad Dash may publish in the future.

Co-authorship network of co-authors of Deba Prasad Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Deba Prasad Dash. A scholar is included among the top collaborators of Deba Prasad Dash 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 Deba Prasad Dash. Deba Prasad Dash 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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