P. Jagadeesan

437 total citations
30 papers, 84 citations indexed

About

P. Jagadeesan is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atmospheric Science. According to data from OpenAlex, P. Jagadeesan has authored 30 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 5 papers in Atmospheric Science. Recurrent topics in P. Jagadeesan's work include Astrophysics and Cosmic Phenomena (15 papers), Solar and Space Plasma Dynamics (8 papers) and Ionosphere and magnetosphere dynamics (7 papers). P. Jagadeesan is often cited by papers focused on Astrophysics and Cosmic Phenomena (15 papers), Solar and Space Plasma Dynamics (8 papers) and Ionosphere and magnetosphere dynamics (7 papers). P. Jagadeesan collaborates with scholars based in India, Japan and Uzbekistan. P. Jagadeesan's co-authors include Atul K. Jain, S. Kawakami, B. S. Rao, P. K. Mohanty, S. K. Gupta, Y. Hayashi, A. Oshima, S. Shibata, T. Nonaka and S. R. Dugad and has published in prestigious journals such as Physical Review Letters, Physical review. D and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

P. Jagadeesan

18 papers receiving 82 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Jagadeesan India 6 48 46 13 7 4 30 84
Nachiketa Chakraborty Germany 7 88 1.8× 80 1.7× 4 0.3× 7 1.0× 3 0.8× 14 116
H. Tokuno Japan 6 49 1.0× 58 1.3× 8 0.6× 3 0.4× 5 1.3× 13 91
A. Velarde Bolivia 7 56 1.2× 82 1.8× 8 0.6× 5 0.7× 6 1.5× 17 108
Marios Maroudas Greece 4 41 0.9× 47 1.0× 4 0.3× 5 0.7× 4 1.0× 12 60
A. Bakaldin Russia 5 30 0.6× 35 0.8× 4 0.3× 3 0.4× 7 1.8× 26 64
R. Ticona Bolivia 6 57 1.2× 59 1.3× 5 0.4× 4 0.6× 4 1.0× 22 95
M. Putiš Slovakia 4 39 0.8× 59 1.3× 15 1.2× 18 2.6× 11 68
I. V. Arkhangelskaja Russia 6 58 1.2× 79 1.7× 6 0.5× 2 0.3× 10 2.5× 59 107
Eliott Rosenberg United States 4 23 0.5× 62 1.3× 16 1.2× 12 1.7× 5 78
Anirban Roy United States 6 73 1.5× 124 2.7× 5 0.4× 3 0.4× 11 143

Countries citing papers authored by P. Jagadeesan

Since Specialization
Citations

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

Fields of papers citing papers by P. Jagadeesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Jagadeesan

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

All Works

20 of 20 papers shown
1.
Nayak, P.K., M. Chakraborty, S. R. Dugad, et al.. (2024). Observation of thunderstorm-induced muon events in GRAPES-3 experiment. Journal of Atmospheric and Solar-Terrestrial Physics. 258. 106231–106231.
2.
Singh, Davinder Paul, et al.. (2024). A Review of Plant Disease Identification using Computational Techniques. 478–483.
3.
Nayak, P.K., S. R. Dugad, P. Jagadeesan, et al.. (2024). The Ooty muon telescope reveals what climate did in 2022 summer. Indian Journal of Physics. 98(13). 4239–4242. 1 indexed citations
4.
Nayak, P.K., Sunil Gupta, P. Jagadeesan, et al.. (2023). Contemplating the observed relationship between the global electric circuit and GRAPES-3 thunderstorm-induced muon events. Proceedings Of Science. 404–404. 3 indexed citations
5.
Nayak, P.K., Sunil Gupta, P. Jagadeesan, et al.. (2023). Seasonal variation of thunderstorm-induced muon events observed at GRAPES-3. Proceedings Of Science. 403–403.
6.
Jagadeesan, P., et al.. (2019). Relationship of Emotional Intelligence, Workplace Spirituality and Performance. International Journal of Recent Technology and Engineering (IJRTE). 8(4S3). 359–362. 2 indexed citations
7.
Jagadeesan, P., et al.. (2019). Imperativeness and Dimensions of Labour Welfare Measures for Employees' Fulfilment in Manufacturing Companies of Chennai. Prabandhan Indian Journal of Management. 12(5). 35–35. 1 indexed citations
8.
Dugad, S. R., S. K. Gupta, Y. Hayashi, et al.. (2019). Modeling of rigidity dependent CORSIKA simulations for GRAPES-3. Experimental Astronomy. 48(2-3). 111–120. 1 indexed citations
9.
Jain, Atul K., S. R. Dugad, S. K. Gupta, et al.. (2019). GRAPES-3 experimental system. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 958. 162099–162099.
10.
Jagadeesan, P., et al.. (2019). Impact of Customer Commitment in Social Media Marketing on Purchase Decision – An Empirical Examination. 2 indexed citations
11.
Ahmad, S., K. P. Arunbabu, S. R. Dugad, et al.. (2017). Extending the range of particle densities observed by GRAPES-3. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 479–479.
12.
Jagadeesan, P., et al.. (2017). Hair Care Product Usage Purposes and Brand Predilection of Male Consumers. Indian Journal of Public Health Research & Development. 8(4). 367–367.
13.
Gupta, Sunil, Y. Hayashi, P. Jagadeesan, et al.. (2017). Effects of atmospheric electric field on muon intensity observed in GRAPES-3 experiment. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 481–481. 1 indexed citations
14.
Mohanty, P. K., K. P. Arunbabu, T. Aziz, et al.. (2016). Transient Weakening of Earth’s Magnetic Shield Probed by a Cosmic Ray Burst. Physical Review Letters. 117(17). 171101–171101. 13 indexed citations
15.
Mohanty, P. K., H. M. Antia, K. P. Arunbabu, et al.. (2016). Fast Fourier transform to measure pressure coefficient of muons in the GRAPES-3 experiment. Astroparticle Physics. 79. 23–30. 7 indexed citations
16.
Mohanty, P. K., H. M. Antia, S. Dugad, et al.. (2016). Measurements of solar diurnal ansiotropy with GRAPES-3 experiment. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 42–42.
17.
Kojima, H., H. M. Antia, S. R. Dugad, et al.. (2015). Dependence of cosmic ray intensity on variation of solar wind velocity measured by the GRAPES-3 experiment for space weather studies. Physical review. D. Particles, fields, gravitation, and cosmology. 91(12). 10 indexed citations
18.
Kojima, H., H. M. Antia, S. R. Dugad, et al.. (2014). Measurement of the radial density gradient of cosmic ray in the heliosphere by the GRAPES-3 experiment. Astroparticle Physics. 62. 21–29. 6 indexed citations
19.
Oshima, A., S. R. Dugad, Umananda Dev Goswami, et al.. (2009). The angular resolution of the GRAPES-3 array from the shadows of the Moon and the Sun. Astroparticle Physics. 33(2). 97–107. 7 indexed citations
20.
Mohanty, P. K., S. R. Dugad, Umananda Dev Goswami, et al.. (2008). Measurement of some EAS properties using new scintillator detectors developed for the GRAPES-3 experiment. Astroparticle Physics. 31(1). 24–36. 17 indexed citations

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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