K. K. Sud

64 total papers · 3.4k total citations
52 papers, 2.6k citations indexed

About

K. K. Sud is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, K. K. Sud has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atomic and Molecular Physics, and Optics, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in K. K. Sud's work include Atomic and Molecular Physics (19 papers), Chaos-based Image/Signal Encryption (13 papers) and Advanced Chemical Physics Studies (12 papers). K. K. Sud is often cited by papers focused on Atomic and Molecular Physics (19 papers), Chaos-based Image/Signal Encryption (13 papers) and Advanced Chemical Physics Studies (12 papers). K. K. Sud collaborates with scholars based in India, United States and Costa Rica. K. K. Sud's co-authors include Vinod Patidar, N.K. Pareek, G. Purohit, L. E. Wright, D. S. Onley, Prithvi Singh, Y. Azuma and N. P. Gupta and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review A and Physics Letters A.

In The Last Decade

K. K. Sud

50 papers receiving 2.3k citations

Hit Papers

Image encryption using ch... 2006 2026 2012 2019 2006 2008 250 500 750

Author Peers

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

Author Last Decade Papers Cites
K. K. Sud 2.1k 643 642 580 576 52 2.6k
Vinod Patidar 2.3k 1.1× 679 1.1× 683 1.1× 649 1.1× 599 1.0× 66 2.7k
Lin Teng 1.8k 0.9× 709 1.1× 469 0.7× 485 0.8× 370 0.6× 90 2.7k
Xiaojun Tong 2.0k 1.0× 428 0.7× 528 0.8× 838 1.4× 351 0.6× 132 2.7k
Yingqian Zhang 4.1k 1.9× 1.1k 1.8× 832 1.3× 1.2k 2.0× 803 1.4× 81 4.5k
M. Romera 734 0.3× 350 0.5× 923 1.4× 460 0.8× 462 0.8× 83 1.9k
Héctor J. Sussmann 209 0.1× 438 0.7× 553 0.9× 484 0.8× 546 0.9× 67 3.8k
Kehui Sun 1.4k 0.6× 335 0.5× 1.4k 2.2× 461 0.8× 255 0.4× 95 3.0k
M. Shub 306 0.1× 974 1.5× 293 0.5× 582 1.0× 514 0.9× 34 2.1k
Edward R. Vrscay 576 0.3× 241 0.4× 509 0.8× 211 0.4× 530 0.9× 119 2.3k
Albert Cohen 973 0.5× 671 1.0× 356 0.6× 244 0.4× 384 0.7× 88 3.5k

Countries citing papers authored by K. K. Sud

Since Specialization
Citations

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

Fields of papers citing papers by K. K. Sud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. K. Sud

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