K. N. Deepthi

592 total citations
19 papers, 132 citations indexed

About

K. N. Deepthi is a scholar working on Nuclear and High Energy Physics, Health Information Management and Information Systems. According to data from OpenAlex, K. N. Deepthi has authored 19 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 2 papers in Health Information Management and 2 papers in Information Systems. Recurrent topics in K. N. Deepthi's work include Neutrino Physics Research (12 papers), Particle physics theoretical and experimental studies (10 papers) and Astrophysics and Cosmic Phenomena (6 papers). K. N. Deepthi is often cited by papers focused on Neutrino Physics Research (12 papers), Particle physics theoretical and experimental studies (10 papers) and Astrophysics and Cosmic Phenomena (6 papers). K. N. Deepthi collaborates with scholars based in India, China and Bahrain. K. N. Deepthi's co-authors include Rukmani Mohanta, Sreetama Goswami, Newton Nath, Anjan S. Joshipura, K. Anuradha, S. Gopalakrishnan, Gopal S Pillai, S. M. Udhaya Sankar, Alok Sen and Mohammed Saleh Al Ansari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and New Journal of Physics.

In The Last Decade

K. N. Deepthi

18 papers receiving 131 citations

Peers

K. N. Deepthi
Comparison fields: 5 of 27
  • Nuclear and High Energy Physics 116
  • Statistical and Nonlinear Physics 5
  • Signal Processing 5
  • Health Information Management 3
  • Information Systems 3
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Citations per field, relative to K. N. Deepthi
K. N. Deepthi · 1×
Citations per year, relative to K. N. Deepthi
K. N. Deepthi · 1×

Countries citing papers authored by K. N. Deepthi

Since Specialization
Citations

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

Fields of papers citing papers by K. N. Deepthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. N. Deepthi

This figure shows the co-authorship network connecting the top 25 collaborators of K. N. Deepthi. A scholar is included among the top collaborators of K. N. Deepthi 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. N. Deepthi. K. N. Deepthi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 4
3 0
4 1
5 2
6 4
7 4
8 5
9 4
10
Partial μ-τ Reflection Symmetry and Its Verification at DUNE and Hyper-Kamiokande
2
11 6
12 11
13 24
14
Big data Mining Using Very-Large-Scale Data Processing Platforms
3
15 5
16 8
17 10
18 10
19 27

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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2026