Debashis Maji

53 total papers · 483 total citations
31 papers, 357 citations indexed

About

Debashis Maji is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Debashis Maji has authored 31 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 6 papers in Molecular Biology. Recurrent topics in Debashis Maji's work include Advanced Sensor and Energy Harvesting Materials (19 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Nanofabrication and Lithography Techniques (6 papers). Debashis Maji is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (19 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Nanofabrication and Lithography Techniques (6 papers). Debashis Maji collaborates with scholars based in India. Debashis Maji's co-authors include Soumen Das, S. K. Lahiri and Debanjan Das and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Debashis Maji

28 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Debashis Maji	258	109	43	43	39	31	357
Young Woo Kwon	190 0.7×	120 1.1×	27 0.6×	49 1.1×	71 1.8×	29	371
Taher Abbasiasl	169 0.7×	110 1.0×	38 0.9×	22 0.5×	62 1.6×	20	351
Geon Hwee Kim	191 0.7×	166 1.5×	36 0.8×	73 1.7×	39 1.0×	32	359
Dongyang Kang	166 0.6×	109 1.0×	28 0.7×	47 1.1×	32 0.8×	22	345
Michael Kaiser	177 0.7×	158 1.4×	59 1.4×	36 0.8×	66 1.7×	12	322
Myeong Namkoong	332 1.3×	94 0.9×	11 0.3×	74 1.7×	34 0.9×	15	394
Pan Gu	200 0.8×	113 1.0×	34 0.8×	36 0.8×	51 1.3×	36	403
Dong-Weon Lee	210 0.8×	107 1.0×	30 0.7×	38 0.9×	78 2.0×	26	394
Chuwei Liang	257 1.0×	180 1.7×	26 0.6×	47 1.1×	34 0.9×	18	345
Xiaochen Lai	293 1.1×	143 1.3×	23 0.5×	22 0.5×	44 1.1×	25	363

Countries citing papers authored by Debashis Maji

Since Specialization

Citations

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

Fields of papers citing papers by Debashis Maji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashis Maji

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