Kuldeep Verma

1.8k total citations · 1 hit paper
26 papers, 787 citations indexed

About

Kuldeep Verma is a scholar working on Astronomy and Astrophysics, Instrumentation and Electrical and Electronic Engineering. According to data from OpenAlex, Kuldeep Verma has authored 26 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kuldeep Verma's work include Stellar, planetary, and galactic studies (17 papers), Astro and Planetary Science (10 papers) and Astrophysics and Star Formation Studies (7 papers). Kuldeep Verma is often cited by papers focused on Stellar, planetary, and galactic studies (17 papers), Astro and Planetary Science (10 papers) and Astrophysics and Star Formation Studies (7 papers). Kuldeep Verma collaborates with scholars based in Denmark, India and United Kingdom. Kuldeep Verma's co-authors include V. Silva Aguirre, Jasneet Kaur, R. K. Kotnala, Jyoti Shah, E. Spitoni, Jakob Rørsted Mosumgaard, A. Mazumdar, Sarbani Basu, F. Calura and H. M. Antia and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Kuldeep Verma

26 papers receiving 712 citations

Hit Papers

Updated BaSTI Stellar Evolution Models and Isochrones. II... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuldeep Verma Denmark 14 559 278 139 136 70 26 787
Kun Ting Eddie Chua Singapore 6 208 0.4× 103 0.4× 115 0.8× 106 0.8× 10 0.1× 10 366
Eric R. Switzer United States 10 298 0.5× 37 0.1× 83 0.6× 65 0.5× 5 0.1× 20 435
Jeong‐Gyu Kim South Korea 12 421 0.8× 43 0.2× 65 0.5× 49 0.4× 4 0.1× 30 561
Cédric Renaud France 13 268 0.5× 21 0.1× 56 0.4× 206 1.5× 168 2.4× 26 524
Ryo Asai Japan 8 260 0.5× 98 0.4× 21 0.2× 17 0.1× 2 0.0× 17 331
S. N. Raines United States 11 340 0.6× 59 0.2× 24 0.2× 93 0.7× 26 445
F. M. Zerbi Italy 12 367 0.7× 188 0.7× 15 0.1× 81 0.6× 100 513
T. Kutsuwa Japan 8 87 0.2× 21 0.1× 100 0.7× 294 2.2× 2 0.0× 20 563
P. Kubánek Czechia 9 127 0.2× 36 0.1× 137 1.0× 65 0.5× 78 383

Countries citing papers authored by Kuldeep Verma

Since Specialization
Citations

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

Fields of papers citing papers by Kuldeep Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldeep Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Verma. A scholar is included among the top collaborators of Kuldeep Verma 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 Kuldeep Verma. Kuldeep Verma 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.
Verma, Kuldeep, et al.. (2024). A regularization technique to precisely infer limb darkening using transit measurements: can we estimate stellar surface magnetic fields?. Monthly Notices of the Royal Astronomical Society. 534(4). 3893–3905. 1 indexed citations
2.
Winther, Mark Lykke, et al.. (2023). Did Kepler-444 have a long-lived convective core?. Monthly Notices of the Royal Astronomical Society. 525(1). 1416–1430. 2 indexed citations
3.
Calura, F., Marco Palla, L. Morselli, et al.. (2023). A Bayesian chemical evolution model of the DustPedia galaxy M74. Monthly Notices of the Royal Astronomical Society. 523(2). 2351–2368. 3 indexed citations
4.
Spitoni, E., V. Silva Aguirre, Kuldeep Verma, & Amalie Stokholm. (2022). Disc dichotomy signature in the vertical distribution of [Mg/Fe] and the delayed gas infall scenario. Astronomy and Astrophysics. 663. A174–A174. 6 indexed citations
5.
Verma, Kuldeep, Jakob Rørsted Mosumgaard, Aldo Serenelli, et al.. (2022). Advanced asteroseismic modelling: breaking the degeneracy between stellar mass and initial helium abundance. arXiv (Cornell University). 6 indexed citations
6.
Aguirre, V. Silva, Jakob Rørsted Mosumgaard, A. B. Justesen, et al.. (2021). The BAyesian STellar algorithm (BASTA): a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology. Monthly Notices of the Royal Astronomical Society. 509(3). 4344–4364. 35 indexed citations
7.
Verma, Kuldeep, et al.. (2021). An observational testbed for cosmological zoom-in simulations: constraining stellar migration in the solar cylinder using asteroseismology. Monthly Notices of the Royal Astronomical Society. 506(1). 759–774. 5 indexed citations
8.
Pietrinferni, A., S. L. Hidalgo, S. Cassisi, et al.. (2021). Updated BaSTI Stellar Evolution Models and Isochrones. II. α-enhanced Calculations. The Astrophysical Journal. 908(1). 102–102. 121 indexed citations breakdown →
9.
Spitoni, E., Kuldeep Verma, V. Silva Aguirre, et al.. (2021). APOGEE DR16: A multi-zone chemical evolution model for the Galactic disc based on MCMC methods. Astronomy and Astrophysics. 647. A73–A73. 60 indexed citations
10.
Nissen, P. E., J. Christensen‐Dalsgaard, Jakob Rørsted Mosumgaard, et al.. (2020). High-precision abundances of elements in solar-type stars. Astronomy and Astrophysics. 640. A81–A81. 84 indexed citations
11.
Spitoni, E., Kuldeep Verma, V. Silva Aguirre, & F. Calura. (2020). Galactic archaeology with asteroseismic ages. Astronomy and Astrophysics. 635. A58–A58. 43 indexed citations
12.
Verma, Kuldeep, et al.. (2018). Helium abundance in a sample of cool stars: measurements from asteroseismology. Monthly Notices of the Royal Astronomical Society. 483(4). 4678–4694. 49 indexed citations
13.
Nsamba, Benard, T. L. Campante, M. J. P. F. G. Monteiro, et al.. (2018). Asteroseismic modelling of solar-type stars: internal systematics from input physics and surface correction methods. Monthly Notices of the Royal Astronomical Society. 477(4). 5052–5063. 33 indexed citations
14.
15.
Verma, Kuldeep, H. M. Antia, A. Mazumdar, et al.. (2017). Seismic Measurement of the Locations of the Base of Convection Zone and Helium Ionization Zone for Stars in the Kepler Seismic LEGACY Sample. The Astrophysical Journal. 837(1). 47–47. 36 indexed citations
16.
Verma, Kuldeep, et al.. (2016). Asteroseismic determination of fundamental parameters of Sun-like stars using multilayered neural networks. Monthly Notices of the Royal Astronomical Society. 461(4). 4206–4214. 18 indexed citations
17.
Verma, Kuldeep, J. P. Faria, H. M. Antia, et al.. (2014). ASTEROSEISMIC ESTIMATE OF HELIUM ABUNDANCE OF A SOLAR ANALOG BINARY SYSTEM. The Astrophysical Journal. 790(2). 138–138. 43 indexed citations
18.
Verma, Kuldeep, H. M. Antia, Sarbani Basu, & A. Mazumdar. (2014). A THEORETICAL STUDY OF ACOUSTIC GLITCHES IN LOW-MASS MAIN-SEQUENCE STARS. The Astrophysical Journal. 794(2). 114–114. 17 indexed citations
19.
Kaur, Jasneet, Jaspreet Kaur, R.K. Kotnala, Vinay Gupta, & Kuldeep Verma. (2012). Co And Fe Doped SnO2 nanorods By Ce Co-doping And Their Electrical And Magnetic Properties. Advanced Materials Letters. 3(6). 511–514. 4 indexed citations
20.
Verma, Kuldeep, et al.. (2011). Computer vision based currency classification system. International Journal of Computer Applications. 16(4). 34–38. 4 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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