Pooja Bhattacharjee

435 total citations
9 papers, 103 citations indexed

About

Pooja Bhattacharjee is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Control and Systems Engineering. According to data from OpenAlex, Pooja Bhattacharjee has authored 9 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 6 papers in Astronomy and Astrophysics and 1 paper in Control and Systems Engineering. Recurrent topics in Pooja Bhattacharjee's work include Astrophysics and Cosmic Phenomena (6 papers), Dark Matter and Cosmic Phenomena (5 papers) and Cosmology and Gravitation Theories (3 papers). Pooja Bhattacharjee is often cited by papers focused on Astrophysics and Cosmic Phenomena (6 papers), Dark Matter and Cosmic Phenomena (5 papers) and Cosmology and Gravitation Theories (3 papers). Pooja Bhattacharjee collaborates with scholars based in India, United States and France. Pooja Bhattacharjee's co-authors include Daniel N. Riahi, P. Majumdar, L. Saha, Francesca Calore, G. C. Anupama, R. J. Britto, B. S. Acharya, Amit Shukla, P. R. Vishwanath and V. R. Chitnis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Pooja Bhattacharjee

8 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pooja Bhattacharjee India	6	59	47	20	18	15	9	103
Xiaofan Zhao China	7	26 0.4×	27 0.6×	8 0.4×	17 0.9×	15 1.0×	29	158
B. Shanahan United States	6	62 1.1×	42 0.9×	6 0.3×	33 1.8×	51 3.4×	15	101
Rachel Young United States	5	31 0.5×	28 0.6×	9 0.5×	8 0.4×	3 0.2×	10	84
M. Henri France	5	31 0.5×	8 0.2×	10 0.5×	9 0.5×	10 0.7×	10	75
C. Cianfarani Italy	5	49 0.8×	31 0.7×	2 0.1×	6 0.3×	10 0.7×	17	85
A. N. Bender United States	5	10 0.2×	46 1.0×	5 0.3×	6 0.3×	8 0.5×	14	77
E.R. Scott Germany	6	67 1.1×	26 0.6×	7 0.3×	2 0.1×	22 1.5×	17	72
R. Woolley United States	6	78 1.3×	16 0.3×	10 0.5×	8 0.4×	51 3.4×	24	103
D. Höschen Germany	4	22 0.4×	8 0.2×	5 0.3×	5 0.3×	15 1.0×	11	40
K.P. Hollfeld Germany	6	76 1.3×	22 0.5×	3 0.1×	5 0.3×	23 1.5×	12	89

Countries citing papers authored by Pooja Bhattacharjee

Since Specialization

Citations

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

Fields of papers citing papers by Pooja Bhattacharjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Bhattacharjee

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Bhattacharjee, Pooja, et al.. (2025). Automating Object Sorting by Color with a Robotic Arm and Conveyor Belt System. 1–6.

Bhattacharjee, Pooja & Francesca Calore. (2024). Probing the Dark Matter Capture Rate in a Local Population of Brown Dwarfs with IceCube Gen 2. SHILAP Revista de lepidopterología. 7(2). 489–501. 2 indexed citations

Bhattacharjee, Pooja, Francesca Calore, & Pasquale Dario Serpico. (2023). Gamma-ray flux limits from brown dwarfs: Implications for dark matter annihilating into long-lived mediators. Physical review. D. 107(4). 5 indexed citations

Bhattacharjee, Pooja, et al.. (2021). Gamma-ray and synchrotron radiation from dark matter annihilations in ultra-faint dwarf galaxies. Journal of Cosmology and Astroparticle Physics. 2021(6). 41–41. 7 indexed citations

Ergin, T., L. Saha, Pooja Bhattacharjee, et al.. (2020). Probing the star formation origin of gamma-rays from 3FHL J1907.0+0713. Monthly Notices of the Royal Astronomical Society. 501(3). 4226–4237. 2 indexed citations

Bhattacharjee, Pooja, et al.. (2020). Multiwavelength analysis of low surface brightness galaxies to study possible dark matter signature. Monthly Notices of the Royal Astronomical Society. 501(3). 4238–4254. 7 indexed citations

Bhattacharjee, Pooja, et al.. (2019). Analysis of Fermi-LAT data from Tucana-II: possible constraints on the Dark Matter models with an intriguing hint of a signal. Journal of Cosmology and Astroparticle Physics. 2019(8). 28–28. 6 indexed citations

Shukla, Amit, V. R. Chitnis, P. R. Vishwanath, et al.. (2012). Multiwavelength study of the TeV blazar Mrk 421 during a giant flare. Astronomy and Astrophysics. 541. A140–A140. 30 indexed citations

Bhattacharjee, Pooja & Daniel N. Riahi. (2003). Effect of rotation on surface tension driven flow during protein crystallization. Microgravity Science and Technology. 14(4). 36–44. 44 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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