V. Kashyap

5.5k total citations
137 papers, 2.7k citations indexed

About

V. Kashyap is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Instrumentation. According to data from OpenAlex, V. Kashyap has authored 137 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Astronomy and Astrophysics, 21 papers in Computational Mechanics and 13 papers in Instrumentation. Recurrent topics in V. Kashyap's work include Stellar, planetary, and galactic studies (64 papers), Astrophysical Phenomena and Observations (41 papers) and Solar and Space Plasma Dynamics (36 papers). V. Kashyap is often cited by papers focused on Stellar, planetary, and galactic studies (64 papers), Astrophysical Phenomena and Observations (41 papers) and Solar and Space Plasma Dynamics (36 papers). V. Kashyap collaborates with scholars based in United States, United Kingdom and Italy. V. Kashyap's co-authors include J. J. Drake, David A. van Dyk, Aneta Siemiginowska, A. Connors, Rostislav S. Protassov, M. Audard, M. Güdel, Bradford J. Wargelin, Ofer Cohen and R. Rosner and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

V. Kashyap

126 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Kashyap United States 26 2.5k 391 207 138 125 137 2.7k
H. M. Antia India 29 2.4k 0.9× 365 0.9× 221 1.1× 82 0.6× 121 1.0× 132 2.7k
M. R. Calabretta Australia 16 1.8k 0.7× 581 1.5× 244 1.2× 98 0.7× 62 0.5× 40 2.0k
Johannes Büchner Germany 22 2.3k 0.9× 679 1.7× 459 2.2× 90 0.7× 91 0.7× 89 2.6k
Joshua S. Speagle United States 17 2.5k 1.0× 300 0.8× 786 3.8× 83 0.6× 108 0.9× 60 2.7k
Daniel Foreman-Mackey United States 27 3.2k 1.3× 316 0.8× 1.1k 5.3× 169 1.2× 153 1.2× 84 3.6k
Murray Brightman United States 26 2.7k 1.1× 804 2.1× 337 1.6× 77 0.6× 89 0.7× 66 2.9k
С. И. Блинников Russia 30 4.2k 1.7× 1.4k 3.6× 504 2.4× 150 1.1× 150 1.2× 186 4.7k
S. Bowyer United States 17 1.4k 0.5× 482 1.2× 135 0.7× 101 0.7× 108 0.9× 101 1.7k
N. M. McClure‐Griffiths Australia 34 4.3k 1.7× 1.7k 4.3× 208 1.0× 131 0.9× 138 1.1× 140 4.6k
Thomas J. Loredo United States 21 1.4k 0.5× 352 0.9× 118 0.6× 36 0.3× 27 0.2× 54 1.7k

Countries citing papers authored by V. Kashyap

Since Specialization
Citations

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

Fields of papers citing papers by V. Kashyap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Kashyap

This figure shows the co-authorship network connecting the top 25 collaborators of V. Kashyap. A scholar is included among the top collaborators of V. Kashyap 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 V. Kashyap. V. Kashyap 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.
Wang, Jue, V. Kashyap, Thomas C. M. Lee, David A. van Dyk, & A. Zezas. (2025). Auto-BUQ: Uncertainty Quantification for the Boundaries of Segmented Events. The Astronomical Journal. 169(6). 329–329.
2.
Kashyap, V., et al.. (2024). Spectral Fit Residuals as an Indicator to Increase Model Complexity. Research Notes of the AAS. 8(1). 1–1.
3.
Painter, C. A., R. Di Stefano, V. Kashyap, et al.. (2024). A possible third body in the X-ray system GRS 1747−312 and models with higher order multiplicity. Monthly Notices of the Royal Astronomical Society. 529(1). 245–274. 5 indexed citations
4.
Zimmerman, Robert A., David A. van Dyk, V. Kashyap, & Aneta Siemiginowska. (2024). Separating states in astronomical sources using hidden Markov models: with a case study of flaring and quiescence on EV Lac. Monthly Notices of the Royal Astronomical Society. 534(3). 2142–2167. 2 indexed citations
5.
Donath, Axel, Aneta Siemiginowska, V. Kashyap, David A. van Dyk, & D. J. Burke. (2024). Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise. The Astronomical Journal. 168(4). 182–182. 1 indexed citations
6.
Chen, Yang, V. Kashyap, Kaisey S. Mandel, et al.. (2024). Six Maxims of Statistical Acumen for Astronomical Data Analysis. The Astrophysical Journal Supplement Series. 275(2). 30–30.
7.
Martínez-Galarza, Juan Rafael, et al.. (2024). Representation learning for time-domain high-energy astrophysics: Discovery of extragalactic fast X-ray transient XRT 200515. Monthly Notices of the Royal Astronomical Society. 537(2). 931–955.
8.
Tripathi, Durgesh, et al.. (2023). Center-to-limb Variation of Transition-region Doppler Shifts in Active Regions. The Astrophysical Journal. 944(2). 158–158. 5 indexed citations
9.
Wright, N. J., J. J. Drake, M. G. Guarcello, V. Kashyap, & A. Zezas. (2023). Simulating the Sensitivity to Stellar Point Sources of Chandra X-Ray Observations. The Astrophysical Journal Supplement Series. 269(1). 8–8. 7 indexed citations
10.
Fan, Minjie, Jue Wang, V. Kashyap, et al.. (2023). Identifying Diffuse Spatial Structures in High-energy Photon Lists. The Astronomical Journal. 165(2). 66–66. 2 indexed citations
11.
Jackman, C. M., W. R. Dunn, V. Kashyap, et al.. (2022). Comparing Jupiter’s Equatorial X‐Ray Emissions With Solar X‐Ray Flux Over 19 Years of the Chandra Mission. Journal of Geophysical Research Space Physics. 127(12). e2022JA030971–e2022JA030971. 3 indexed citations
12.
Evans, Nancy Remage, I. Pillitteri, L. Molnár, et al.. (2020). X-Ray Observations of the Peculiar Cepheid V473 Lyr Identify A Low-mass Companion*. The Astronomical Journal. 159(3). 121–121. 3 indexed citations
13.
Lalitha, S., et al.. (2015). X-RAYING THE CORONAE OF HD 155555. The Astrophysical Journal. 811(1). 44–44. 2 indexed citations
14.
Connors, A., et al.. (2011). LIRA — The Low-Counts Image Restoration and Analysis Package: A Teaching Version via R. ASPC. 442. 463. 1 indexed citations
15.
Drake, J. J. & V. Kashyap. (2010). PINTofALE: Package for Interactive Analysis of Line Emission. Astrophysics Source Code Library. 2 indexed citations
16.
Drake, J. J., Sun Mi Chung, V. Kashyap, et al.. (2008). X‐Ray Spectroscopic Signatures of the Extended Corona of FK Comae. The Astrophysical Journal. 679(2). 1522–1530. 7 indexed citations
17.
Kashyap, V., et al.. (2008). Chandra Calibration Workshop. 15. 21. 1 indexed citations
18.
García-Álvarez, D., et al.. (2004). The FIP effect on late-type stellar coronae: from dwarfs to giants. 1 indexed citations
19.
Kashyap, V., et al.. (2002). A Lot of Observations of the Coronae of AR Lac. ASPC. 277. 551. 1 indexed citations
20.
Kashyap, V. & J. J. Drake. (2000). PINTofALE : Package for the interactive analysis of line emission. Bulletin of the Astronomical Society of India. 28. 475–476. 63 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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