Abhitosh Vais

77 total papers · 473 total citations
46 papers, 291 citations indexed

About

Abhitosh Vais is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Abhitosh Vais has authored 46 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Abhitosh Vais's work include Semiconductor materials and devices (30 papers), Advancements in Semiconductor Devices and Circuit Design (23 papers) and Integrated Circuits and Semiconductor Failure Analysis (10 papers). Abhitosh Vais is often cited by papers focused on Semiconductor materials and devices (30 papers), Advancements in Semiconductor Devices and Circuit Design (23 papers) and Integrated Circuits and Semiconductor Failure Analysis (10 papers). Abhitosh Vais collaborates with scholars based in Belgium, United States and Russia. Abhitosh Vais's co-authors include Nadine Collaert, Aaron Thean, J. Franco, Dennis Lin, V. Putcha, G. Groeseneken, Sonja Sioncke, A. Mocuta, Koen Martens and K. De Meyer and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Electron Devices.

In The Last Decade

Abhitosh Vais

42 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Abhitosh Vais	264	67	47	35	21	46	291
S. Petitdidier	137 0.5×	80 1.2×	38 0.8×	44 1.3×	17 0.8×	34	197
Marko Petrič	89 0.3×	47 0.7×	29 0.6×	28 0.8×	6 0.3×	27	276
Makoto Ishii	263 1.0×	58 0.9×	150 3.2×	35 1.0×	6 0.3×	32	325
Ribu Mathew	227 0.9×	68 1.0×	126 2.7×	95 2.7×	5 0.2×	39	331
P.R. Parmar	148 0.6×	192 2.9×	27 0.6×	27 0.8×	4 0.2×	32	250
Carlos Alberto Brito da Silva Júnior	126 0.5×	139 2.1×	62 1.3×	24 0.7×	9 0.4×	46	244
Hiroki Hayashi	94 0.4×	33 0.5×	11 0.2×	114 3.3×	22 1.0×	44	243
Stephanie M. Ribet	60 0.2×	104 1.6×	39 0.8×	24 0.7×	5 0.2×	33	230
Pierre Schmidt	267 1.0×	57 0.9×	73 1.6×	13 0.4×	3 0.1×	41	303
Holger H. Streckert	138 0.5×	121 1.8×	29 0.6×	43 1.2×	21 1.0×	36	237

Countries citing papers authored by Abhitosh Vais

Since Specialization

Citations

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

Fields of papers citing papers by Abhitosh Vais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhitosh Vais

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