Debanjan Konar

72 total papers · 761 total citations
31 papers, 426 citations indexed

About

Debanjan Konar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Debanjan Konar has authored 31 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Debanjan Konar's work include Advanced Memory and Neural Computing (6 papers), Brain Tumor Detection and Classification (6 papers) and Neural Networks and Applications (5 papers). Debanjan Konar is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Brain Tumor Detection and Classification (6 papers) and Neural Networks and Applications (5 papers). Debanjan Konar collaborates with scholars based in India, United States and Germany. Debanjan Konar's co-authors include Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Kalpana Sharma, Siddhartha Bhattacharyya, Richard Jiang, Tapan Kumar Gandhi, Nilanjan Dey, Nabendu Chaki, Mousumi Gupta and Attila Cangi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Applied Soft Computing.

In The Last Decade

Debanjan Konar

29 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Debanjan Konar	221	75	73	54	51	31	426
Yousef Alhwaiti	139 0.6×	97 1.3×	87 1.2×	68 1.3×	37 0.7×	22	377
Eslam Al Maghayreh	207 0.9×	79 1.1×	76 1.0×	85 1.6×	55 1.1×	36	464
Shahab Wahhab Kareem	189 0.9×	90 1.2×	39 0.5×	32 0.6×	89 1.7×	56	400
Muhammad Assam	127 0.6×	108 1.4×	66 0.9×	48 0.9×	52 1.0×	35	388
Osama Dorgham	168 0.8×	148 2.0×	75 1.0×	51 0.9×	39 0.8×	34	426
Saima Anwar Lashari	132 0.6×	75 1.0×	32 0.4×	105 1.9×	65 1.3×	42	399
Saeed Iqbal	156 0.7×	92 1.2×	122 1.7×	49 0.9×	68 1.3×	41	402
Walaa N. Ismail	141 0.6×	76 1.0×	62 0.8×	140 2.6×	100 2.0×	28	429
Amr T. Abdel-Hamid	116 0.5×	111 1.5×	89 1.2×	78 1.4×	37 0.7×	29	485
Ali Alqahtani	114 0.5×	69 0.9×	46 0.6×	111 2.1×	48 0.9×	46	368

Countries citing papers authored by Debanjan Konar

Since Specialization

Citations

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

Fields of papers citing papers by Debanjan Konar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debanjan Konar

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