Debiprasad Panda

111 total papers · 481 total citations
69 papers, 344 citations indexed

About

Debiprasad Panda is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Debiprasad Panda has authored 69 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Atomic and Molecular Physics, and Optics, 59 papers in Electrical and Electronic Engineering and 44 papers in Materials Chemistry. Recurrent topics in Debiprasad Panda's work include Semiconductor Quantum Structures and Devices (64 papers), Advanced Semiconductor Detectors and Materials (46 papers) and Quantum Dots Synthesis And Properties (39 papers). Debiprasad Panda is often cited by papers focused on Semiconductor Quantum Structures and Devices (64 papers), Advanced Semiconductor Detectors and Materials (46 papers) and Quantum Dots Synthesis And Properties (39 papers). Debiprasad Panda collaborates with scholars based in India, United States and Canada. Debiprasad Panda's co-authors include Subhananda Chakrabarti, Binita Tongbram, Debabrata Das, Hemant Ghadi, Subhananda Chakrabarti, Samir Kumar Pal, Dip Prakash Samajdar, Arka Chatterjee, Ravindra Kumar and Shubham Mondal and has published in prestigious journals such as Journal of Applied Physics, Solar Energy and Applied Surface Science.

In The Last Decade

Debiprasad Panda

63 papers receiving 342 citations

Author Peers

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

Author						Papers	Cites
Debiprasad Panda	272	268	201	71	55	69	344
V. S. Bagaev	219 0.8×	179 0.7×	167 0.8×	45 0.6×	52 0.9×	69	327
Stewart Bland	225 0.8×	300 1.1×	85 0.4×	42 0.6×	63 1.1×	59	378
Binita Tongbram	280 1.0×	262 1.0×	189 0.9×	66 0.9×	60 1.1×	46	347
Chantal Fontaine	247 0.9×	239 0.9×	95 0.5×	80 1.1×	62 1.1×	32	355
V. Kolkovsky	202 0.7×	189 0.7×	196 1.0×	39 0.5×	59 1.1×	34	362
N. V. Baidus	321 1.2×	260 1.0×	127 0.6×	46 0.6×	36 0.7×	66	360
D. A. Muzychenko	222 0.8×	98 0.4×	197 1.0×	48 0.7×	27 0.5×	43	327
T. V. L’vova	271 1.0×	281 1.0×	112 0.6×	123 1.7×	59 1.1×	50	382
V. B. Shuman	119 0.4×	282 1.1×	218 1.1×	64 0.9×	20 0.4×	69	372
Masatomo Fujimoto	189 0.7×	240 0.9×	100 0.5×	29 0.4×	40 0.7×	37	320

Countries citing papers authored by Debiprasad Panda

Since Specialization

Citations

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

Fields of papers citing papers by Debiprasad Panda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debiprasad Panda

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