K. V. Shajesh

43 total papers · 582 total citations
25 papers, 348 citations indexed

About

K. V. Shajesh is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, K. V. Shajesh has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atomic and Molecular Physics, and Optics, 17 papers in Statistical and Nonlinear Physics and 10 papers in Astronomy and Astrophysics. Recurrent topics in K. V. Shajesh's work include Quantum Electrodynamics and Casimir Effect (22 papers), Cosmology and Gravitation Theories (10 papers) and Mechanical and Optical Resonators (8 papers). K. V. Shajesh is often cited by papers focused on Quantum Electrodynamics and Casimir Effect (22 papers), Cosmology and Gravitation Theories (10 papers) and Mechanical and Optical Resonators (8 papers). K. V. Shajesh collaborates with scholars based in United States, Norway and Sweden. K. V. Shajesh's co-authors include Prachi Parashar, Kimball A. Milton, Martin Schaden, Inés Cavero-Peláez, S. A. Fulling, Iver Brevik, August Romeo, Jef Wagner, Carl M. Bender and Oleksandr I. Malyi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

K. V. Shajesh

23 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
K. V. Shajesh	323	209	138	73	24	25	348
Nail Khusnutdinov	309 1.0×	182 0.9×	229 1.7×	40 0.5×	136 5.7×	41	396
Herondy F. Santana Mota	266 0.8×	224 1.1×	247 1.8×	15 0.2×	158 6.6×	39	353
T. Rick Perche	264 0.8×	121 0.6×	155 1.1×	18 0.2×	97 4.0×	25	343
André G. S. Landulfo	331 1.0×	114 0.5×	109 0.8×	12 0.2×	54 2.3×	22	368
Ariel Edery	132 0.4×	111 0.5×	321 2.3×	20 0.3×	208 8.7×	27	394
Paola Giacconi	147 0.5×	256 1.2×	153 1.1×	4 0.1×	241 10.0×	19	353
James R. Anglin	330 1.0×	98 0.5×	27 0.2×	4 0.1×	16 0.7×	27	352
Pablo Pais	143 0.4×	182 0.9×	175 1.3×	3 0.0×	243 10.1×	31	398
J.–P. Torre	22 0.1×	13 0.1×	314 2.3×	19 0.3×	28 1.2×	21	340
S. Autti	344 1.1×	53 0.3×	13 0.1×	2 0.0×	11 0.5×	20	383

Countries citing papers authored by K. V. Shajesh

Since Specialization

Citations

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

Fields of papers citing papers by K. V. Shajesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Shajesh. 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 K. V. Shajesh. The network helps show where K. V. Shajesh may publish in the future.

Co-authorship network of co-authors of K. V. Shajesh

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Shajesh. A scholar is included among the top collaborators of K. V. Shajesh 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 K. V. Shajesh. K. V. Shajesh 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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