Digvijay Wadekar

770 total citations · 1 hit paper
15 papers, 344 citations indexed

About

Digvijay Wadekar is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Digvijay Wadekar has authored 15 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 3 papers in Nuclear and High Energy Physics and 2 papers in Oceanography. Recurrent topics in Digvijay Wadekar's work include Cosmology and Gravitation Theories (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers) and Pulsars and Gravitational Waves Research (4 papers). Digvijay Wadekar is often cited by papers focused on Cosmology and Gravitation Theories (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers) and Pulsars and Gravitational Waves Research (4 papers). Digvijay Wadekar collaborates with scholars based in United States, India and Israel. Digvijay Wadekar's co-authors include Román Scoccimarro, Zihui Wang, Glennys R. Farrar, Mikhail M. Ivanov, Lars Hernquist, Shirley Ho, Tejaswi Venumadhav, Barak Zackay, Sownak Bose and Matías Zaldarriaga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Monthly Notices of the Royal Astronomical Society and eLife.

In The Last Decade

Digvijay Wadekar

13 papers receiving 331 citations

Hit Papers

New binary black hole mer... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. New binary black hole mergers in the LIGO-Virgo O3b data
    2025 23 citations A. K. Mehta, Digvijay Wadekar et al. Physical review. D profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Digvijay Wadekar United States 11 261 133 36 36 35 15 344
Austin Peel United States 12 276 1.1× 98 0.7× 12 0.3× 48 1.3× 30 0.9× 20 316
T. Castro Italy 15 360 1.4× 110 0.8× 28 0.8× 106 2.9× 36 1.0× 30 430
K. M. Huffenberger United States 13 380 1.5× 152 1.1× 25 0.7× 57 1.6× 15 0.4× 29 418
Shi-Fan Chen United States 13 447 1.7× 130 1.0× 58 1.6× 135 3.8× 24 0.7× 22 505
Sihao Cheng United States 8 297 1.1× 47 0.4× 21 0.6× 82 2.3× 26 0.7× 16 357
P. G. Castro United Kingdom 8 280 1.1× 77 0.6× 28 0.8× 35 1.0× 15 0.4× 22 331
Jan M. Kratochvil United States 10 536 2.1× 171 1.3× 35 1.0× 121 3.4× 56 1.6× 11 573
Fergus Simpson United Kingdom 11 213 0.8× 85 0.6× 12 0.3× 48 1.3× 15 0.4× 18 310
Cristiano G. Sabiu South Korea 12 307 1.2× 100 0.8× 22 0.6× 76 2.1× 21 0.6× 24 330
Yu. V. Baryshev Russia 15 512 2.0× 170 1.3× 115 3.2× 61 1.7× 14 0.4× 64 596

Countries citing papers authored by Digvijay Wadekar

Since Specialization
Citations

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

Fields of papers citing papers by Digvijay Wadekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Digvijay Wadekar

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

All Works

15 of 15 papers shown
1.
Mehta, A. K., Digvijay Wadekar, Javier Roulet, et al.. (2025). New binary black hole mergers in the LIGO-Virgo O3b data. Physical review. D. 111(2). 23 indexed citations breakdown →
2.
Mehta, A. K., Digvijay Wadekar, Javier Roulet, et al.. (2025). Binary black hole population inference combining confident and marginal events from the ias-hm search pipeline. Physical review. D. 112(12).
3.
Venumadhav, Tejaswi, A. K. Mehta, Digvijay Wadekar, et al.. (2025). Data-driven extraction, phenomenology, and modeling of eccentric harmonics in binary black hole merger waveforms. Physical review. D. 112(4). 1 indexed citations
4.
Chia, Horng Sheng, T. Edwards, Digvijay Wadekar, et al.. (2024). In pursuit of Love numbers: First templated search for compact objects with large tidal deformabilities in the LIGO-Virgo data. Physical review. D. 110(6). 18 indexed citations
5.
Wadekar, Digvijay, Tejaswi Venumadhav, A. K. Mehta, et al.. (2024). New approach to template banks of gravitational waves with higher harmonics: Reducing matched-filtering cost by over an order of magnitude. Physical review. D. 110(8). 1 indexed citations
6.
Wadekar, Digvijay & Zihui Wang. (2023). Constraining axion and compact dark matter with interstellar medium heating. Physical review. D. 107(8). 11 indexed citations
7.
Wadekar, Digvijay, Leander Thiele, J. Colin Hill, et al.. (2023). The SZ flux-mass (Y–M) relation at low-halo masses: improvements with symbolic regression and strong constraints on baryonic feedback. Monthly Notices of the Royal Astronomical Society. 522(2). 2628–2643. 22 indexed citations
8.
Wadekar, Digvijay, Leander Thiele, Francisco Villaescusa-Navarro, et al.. (2023). Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev–Zeldovich flux–mass scatter. Proceedings of the National Academy of Sciences. 120(12). e2202074120–e2202074120. 19 indexed citations
9.
Wadekar, Digvijay & Zihui Wang. (2022). Strong constraints on decay and annihilation of dark matter from heating of gas-rich dwarf galaxies. Physical review. D. 106(7). 48 indexed citations
10.
Delgado, Ana María, Digvijay Wadekar, Boryana Hadzhiyska, et al.. (2022). Modelling the galaxy–halo connection with machine learning. Monthly Notices of the Royal Astronomical Society. 515(2). 2733–2746. 27 indexed citations
11.
Wadekar, Digvijay & Glennys R. Farrar. (2021). Gas-rich dwarf galaxies as a new probe of dark matter interactions with ordinary matter. Physical review. D. 103(12). 42 indexed citations
12.
Wadekar, Digvijay, Mikhail M. Ivanov, & Román Scoccimarro. (2020). Cosmological constraints from BOSS with analytic covariance matrices. Physical review. D. 102(12). 59 indexed citations
13.
Wadekar, Digvijay & Román Scoccimarro. (2020). Galaxy power spectrum multipoles covariance in perturbation theory. Physical review. D. 102(12). 57 indexed citations
14.
Wadekar, Digvijay, et al.. (2018). Variance adaptation in navigational decision making. eLife. 7. 15 indexed citations
15.
Wadekar, Digvijay & Steen H. Hansen. (2014). Zeldovich pancakes at redshift zero: the equilibration state and phase-space properties. Monthly Notices of the Royal Astronomical Society. 447(2). 1333–1340. 1 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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