Subhamoy Chatterjee

528 total citations
33 papers, 230 citations indexed

About

Subhamoy Chatterjee is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Subhamoy Chatterjee has authored 33 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 8 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Subhamoy Chatterjee's work include Solar and Space Plasma Dynamics (22 papers), Stellar, planetary, and galactic studies (8 papers) and Astro and Planetary Science (8 papers). Subhamoy Chatterjee is often cited by papers focused on Solar and Space Plasma Dynamics (22 papers), Stellar, planetary, and galactic studies (8 papers) and Astro and Planetary Science (8 papers). Subhamoy Chatterjee collaborates with scholars based in India, United States and Germany. Subhamoy Chatterjee's co-authors include Dipankar Banerjee, Scott W. McIntosh, Mausumi Dikpati, Sudip Mandal, Andrés Muñoz‐Jaramillo, Peter A. Gilman, Dibyendu Nandy, T. V. Zaqarashvili, A. K. Srivastava and Rakesh Mazumder and has published in prestigious journals such as Nature Communications, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Subhamoy Chatterjee

30 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhamoy Chatterjee India 10 178 39 35 22 14 33 230
Luca Giovannelli Italy 8 153 0.9× 58 1.5× 19 0.5× 11 0.5× 12 0.9× 50 199
Jordan A. Guerra United States 9 245 1.4× 35 0.9× 86 2.5× 13 0.6× 6 0.4× 15 263
Jonathan Pietarila Graham United States 10 220 1.2× 94 2.4× 30 0.9× 29 1.3× 37 2.6× 16 296
Sophie A. Murray Ireland 8 202 1.1× 60 1.5× 43 1.2× 36 1.6× 18 1.3× 16 234
Rok-Soon Kim South Korea 12 384 2.2× 111 2.8× 42 1.2× 13 0.6× 17 1.2× 31 394
P. Vanlommel Belgium 8 202 1.1× 44 1.1× 47 1.3× 19 0.9× 46 3.3× 16 228
Ruilin Lin China 10 347 1.9× 86 2.2× 23 0.7× 19 0.9× 7 0.5× 37 424
Prantika Bhowmik India 8 221 1.2× 62 1.6× 56 1.6× 19 0.9× 27 1.9× 13 233
Sudip Mandal Germany 12 296 1.7× 60 1.5× 76 2.2× 21 1.0× 36 2.6× 27 309
R. A. Steenburgh United States 7 219 1.2× 57 1.5× 29 0.8× 21 1.0× 24 1.7× 14 246

Countries citing papers authored by Subhamoy Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhamoy Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhamoy Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subhamoy Chatterjee. A scholar is included among the top collaborators of Subhamoy Chatterjee 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 Subhamoy Chatterjee. Subhamoy Chatterjee 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
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Chatzistergos, Theodosios, et al.. (2024). Differential Rotation of the Solar Chromosphere: A Century-long Perspective from Kodaikanal Solar Observatory Ca ii K Data. The Astrophysical Journal. 961(1). 40–40. 9 indexed citations
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Doorsselaere, Tom Van, et al.. (2024). Exploring the Dynamic Rotational Profile of the Hotter Solar Atmosphere: A Multiwavelength Approach Using SDO/AIA Data. The Astrophysical Journal. 975(2). 158–158. 2 indexed citations
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Chatterjee, Subhamoy, et al.. (2023). Homogenizing SOHO/EIT and SDO/AIA 171 Å Images: A Deep-learning Approach. The Astrophysical Journal Supplement Series. 268(1). 33–33. 1 indexed citations
7.
Chatterjee, Subhamoy, et al.. (2023). Detection of Solar Filaments Using Suncharts from Kodaikanal Solar Observatory Archive Employing a Clustering Approach. The Astrophysical Journal. 943(2). 140–140. 3 indexed citations
8.
Muñoz‐Jaramillo, Andrés, et al.. (2023). Probabilistic Solar Flare Forecasting Using Historical Magnetogram Data. The Astrophysical Journal. 955(2). 148–148. 5 indexed citations
9.
Desai, Rajeev I., Brian D. Kangas, Xiaoyu Ma, et al.. (2023). Complex 33-beam simulated galactic cosmic radiation exposure impacts cognitive function and prefrontal cortex neurotransmitter networks in male mice. Nature Communications. 14(1). 7779–7779. 8 indexed citations
10.
Harris, Jacob A., Mausumi Dikpati, S. E. Gibson, et al.. (2022). Tracking Movement of Long-lived Equatorial Coronal Holes from Analysis of Long-term McIntosh Archive Data. The Astrophysical Journal. 931(1). 54–54. 9 indexed citations
11.
Mazumder, Rakesh, Subhamoy Chatterjee, Dibyendu Nandy, & Dipankar Banerjee. (2021). Solar Cycle Evolution of Filaments over a Century: Investigations with the Meudon and McIntosh Hand-drawn Archives. The Astrophysical Journal. 919(2). 125–125. 11 indexed citations
12.
Xu, Yan, Dipankar Banerjee, Subhamoy Chatterjee, et al.. (2021). Migration of Solar Polar Crown Filaments in the Past 100 Years. The Astrophysical Journal. 909(1). 86–86. 15 indexed citations
13.
McIntosh, Scott W., Robert J. Leamon, Ricky Egeland, et al.. (2021). Deciphering Solar Magnetic Activity: 140 Years of the ‘Extended Solar Cycle’ – Mapping the Hale Cycle. Solar Physics. 296(12). 13 indexed citations
14.
Dikpati, Mausumi, Scott W. McIntosh, Subhamoy Chatterjee, et al.. (2021). Deciphering the Deep Origin of Active Regions via Analysis of Magnetograms. The Astrophysical Journal. 910(2). 91–91. 15 indexed citations
15.
Dikpati, Mausumi, et al.. (2019). Triggering The Birth of New Cycle’s Sunspots by Solar Tsunami. Scientific Reports. 9(1). 2035–2035. 11 indexed citations
16.
Srivastava, A. K., Scott W. McIntosh, Dipankar Banerjee, et al.. (2018). The Extended Solar Cycle: Muddying the Waters of Solar/Stellar Dynamo Modeling or Providing Crucial Observational Constraints?. Frontiers in Astronomy and Space Sciences. 5. 6 indexed citations
17.
Chatterjee, Subhamoy, Sudip Mandal, & Dipankar Banerjee. (2017). Variation of Supergranule Parameters with Solar Cycles: Results from Century-long Kodaikanal Digitized Ca ii K Data. The Astrophysical Journal. 841(2). 70–70. 20 indexed citations
18.
Chatterjee, Subhamoy, et al.. (2016). A novel Krawtchouk moment zonal feature descriptor for user-independent static hand gesture recognition. 12. 387–392. 2 indexed citations
19.
Chatterjee, Subhamoy, Durgesh Tripathi, A. N. Ramaprakash, et al.. (2016). The Solar Ultraviolet Imaging Telescope onboard Aditya-L1. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9905. 990503–990503. 9 indexed citations
20.
Maity, Priti Prasanna, Subhamoy Chatterjee, Raunak Kumar Das, et al.. (2013). Finding an optimum immuno-histochemical feature set to distinguish benign phyllodes from fibroadenoma. Micron. 48. 34–41. 5 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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