Ankit Beniwal

715 total citations
10 papers, 331 citations indexed

About

Ankit Beniwal is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ankit Beniwal has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 9 papers in Astronomy and Astrophysics and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Ankit Beniwal's work include Dark Matter and Cosmic Phenomena (10 papers), Cosmology and Gravitation Theories (9 papers) and Particle physics theoretical and experimental studies (6 papers). Ankit Beniwal is often cited by papers focused on Dark Matter and Cosmic Phenomena (10 papers), Cosmology and Gravitation Theories (9 papers) and Particle physics theoretical and experimental studies (6 papers). Ankit Beniwal collaborates with scholars based in United Kingdom, Australia and United States. Ankit Beniwal's co-authors include M. J. White, Anthony G. Williams, Marek Lewicki, James D. Wells, Pat Scott, Christopher Savage, Christoph Weniger, Csaba Balázs, Tomás E. Gonzalo and Andrew Fowlie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Ankit Beniwal

9 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankit Beniwal United Kingdom	7	307	269	36	13	9	10	331
Sungwoo Hong United States	11	301 1.0×	208 0.8×	36 1.0×	13 1.0×	19 2.1×	19	335
Gopolang Mohlabeng United States	12	409 1.3×	254 0.9×	29 0.8×	11 0.8×	8 0.9×	24	424
Alexis D. Plascencia United States	12	372 1.2×	206 0.8×	30 0.8×	14 1.1×	20 2.2×	19	388
Daniel J. Phalen United States	8	372 1.2×	226 0.8×	34 0.9×	6 0.5×	7 0.8×	15	378
Felix Brümmer Germany	10	298 1.0×	177 0.7×	27 0.8×	6 0.5×	14 1.6×	20	309
Michela D’Onofrio Finland	4	344 1.1×	257 1.0×	21 0.6×	7 0.5×	7 0.8×	5	372
Oleksii Matsedonskyi Germany	11	450 1.5×	199 0.7×	18 0.5×	13 1.0×	10 1.1×	17	464
Michael Duerr Germany	12	575 1.9×	307 1.1×	39 1.1×	5 0.4×	14 1.6×	18	584
Brian Shuve United States	13	619 2.0×	261 1.0×	28 0.8×	14 1.1×	5 0.6×	22	629
Jonathan M. Cornell Canada	10	320 1.0×	215 0.8×	48 1.3×	25 1.9×	10 1.1×	13	338

Countries citing papers authored by Ankit Beniwal

Since Specialization

Citations

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

Fields of papers citing papers by Ankit Beniwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Beniwal

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

All Works

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10 of 10 papers shown

Ai, Wen-Yuan, et al.. (2024). From QFT to Boltzmann: freeze-in in the presence of oscillating condensates. Journal of High Energy Physics. 2024(2). 10 indexed citations

Badurina, Leonardo, Ankit Beniwal, & Christopher McCabe. (2023). Super-Nyquist ultralight dark matter searches with broadband atom gradiometers. Physical review. D. 108(8). 7 indexed citations

Beniwal, Ankit. (2023). Global fits of Dirac dark matter effective field theories. SHILAP Revista de lepidopterología.

Athron, Peter, Csaba Balázs, Ankit Beniwal, et al.. (2021). Supplementary Material for Global fits of axion-like particles to XENON1T and astrophysical data. Zenodo (CERN European Organization for Nuclear Research). 10 indexed citations

Athron, Peter, Csaba Balázs, Ankit Beniwal, et al.. (2019). Global analyses of Higgs portal singlet dark matter models using GAMBIT. The European Physical Journal C. 79(1). 38–38. 68 indexed citations

Beniwal, Ankit, Marek Lewicki, M. J. White, & Anthony G. Williams. (2019). Gravitational waves and electroweak baryogenesis in a global study of the extended scalar singlet model. Journal of High Energy Physics. 2019(2). 65 indexed citations

Beniwal, Ankit. (2018). Investigation of Higgs portal dark matter models: from collider, indirect and direct searches to electroweak baryogenesis. 1 indexed citations

Williams, Anthony G., Ankit Beniwal, Christopher Savage, et al.. (2017). Combined analysis of effective Higgs portal dark matter models. 135–135. 2 indexed citations

Beniwal, Ankit, Marek Lewicki, James D. Wells, M. J. White, & Anthony G. Williams. (2017). Gravitational wave, collider and dark matter signals from a scalar singlet electroweak baryogenesis. Journal of High Energy Physics. 2017(8). 120 indexed citations

10.

Beniwal, Ankit, Christopher Savage, Pat Scott, et al.. (2016). Combined analysis of effective Higgs portal dark matter models. Physical review. D. 93(11). 48 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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