Vicky Kalogera

3.3k total citations · 1 hit paper
48 papers, 1.7k citations indexed

About

Vicky Kalogera is a scholar working on Astronomy and Astrophysics, Oceanography and Nuclear and High Energy Physics. According to data from OpenAlex, Vicky Kalogera has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Astronomy and Astrophysics, 4 papers in Oceanography and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Vicky Kalogera's work include Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (30 papers) and Astrophysical Phenomena and Observations (19 papers). Vicky Kalogera is often cited by papers focused on Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (30 papers) and Astrophysical Phenomena and Observations (19 papers). Vicky Kalogera collaborates with scholars based in United States, United Kingdom and Switzerland. Vicky Kalogera's co-authors include Ilya Mandel, Will M. Farr, Carl L. Rodriguez, Andrew G. Cantrell, Niharika Sravan, Laura Kreidberg, Charles D. Bailyn, C. P. L. Berry, Frederic A. Rasio and Sourav Chatterjee and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Computers in Human Behavior.

In The Last Decade

Vicky Kalogera

46 papers receiving 1.6k citations

Hit Papers

THE MASS DISTRIBUTION OF STELLAR-MASS BLACK HOLES 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vicky Kalogera United States 21 1.6k 280 128 84 83 48 1.7k
S. P. Stevenson Australia 22 2.0k 1.2× 200 0.7× 128 1.0× 118 1.4× 90 1.1× 42 2.1k
Michael Kesden United States 25 1.9k 1.2× 646 2.3× 114 0.9× 55 0.7× 80 1.0× 46 2.0k
Pawan Kumar United States 22 1.6k 1.0× 499 1.8× 70 0.5× 45 0.5× 41 0.5× 52 1.7k
Stanislav Babak Germany 9 1.1k 0.7× 368 1.3× 63 0.5× 15 0.2× 107 1.3× 11 1.1k
C.‐J. Haster United States 24 1.8k 1.1× 271 1.0× 295 2.3× 25 0.3× 237 2.9× 39 1.9k
Chengmin Zhang China 15 903 0.6× 248 0.9× 286 2.2× 18 0.2× 85 1.0× 112 980
Mario Spera Italy 25 2.3k 1.4× 173 0.6× 68 0.5× 237 2.8× 44 0.5× 61 2.4k
Antoine Klein United States 29 2.6k 1.6× 857 3.1× 223 1.7× 30 0.4× 252 3.0× 48 2.7k
S. Chaty France 22 2.1k 1.3× 720 2.6× 211 1.6× 44 0.5× 42 0.5× 103 2.1k
M. Nicholl United Kingdom 25 1.5k 1.0× 483 1.7× 49 0.4× 79 0.9× 32 0.4× 90 1.6k

Countries citing papers authored by Vicky Kalogera

Since Specialization
Citations

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

Fields of papers citing papers by Vicky Kalogera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicky Kalogera

This figure shows the co-authorship network connecting the top 25 collaborators of Vicky Kalogera. A scholar is included among the top collaborators of Vicky Kalogera 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 Vicky Kalogera. Vicky Kalogera 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
2.
Zevin, M., et al.. (2023). The Missing Link between Black Holes in High-mass X-Ray Binaries and Gravitational-wave Sources: Observational Selection Effects. The Astrophysical Journal. 946(1). 4–4. 23 indexed citations
3.
Fragione, Giacomo, et al.. (2023). On the Likely Dynamical Origin of GW191109 and Binary Black Hole Mergers with Negative Effective Spin. The Astrophysical Journal. 954(1). 23–23. 8 indexed citations
4.
Kimball, C., Vicky Kalogera, Kyle A. Rocha, et al.. (2023). A Black Hole Kicked at Birth: MAXI J1305-704. The Astrophysical Journal Letters. 952(2). L34–L34. 13 indexed citations
5.
Kalogera, Vicky, C. P. L. Berry, Thomas J. Maccarone, et al.. (2023). Investigating the Lower Mass Gap with Low-mass X-Ray Binary Population Synthesis. The Astrophysical Journal. 954(2). 212–212. 13 indexed citations
6.
Bavera, Simone S., Tassos Fragos, Emmanouil Zapartas, et al.. (2023). The formation of merging black holes with masses beyond 30 M⊙ at solar metallicity. Nature Astronomy. 7(9). 1090–1097. 21 indexed citations
7.
Baibhav, Vishal, Z. Doctor, & Vicky Kalogera. (2023). Dropping Anchor: Understanding the Populations of Binary Black Holes with Random and Aligned-spin Orientations. The Astrophysical Journal. 946(1). 50–50. 11 indexed citations
8.
Banagiri, S., Z. Doctor, Vicky Kalogera, C. Kimball, & Jeff J. Andrews. (2023). Direct Statistical Constraints on the Natal Kick Velocity of a Black Hole in an X-Ray Quiet Binary. The Astrophysical Journal. 959(2). 106–106. 7 indexed citations
9.
Fishbach, M., et al.. (2023). The Role of Natal Kicks in Forming Asymmetric Compact Binary Mergers. The Astrophysical Journal. 953(2). 152–152. 6 indexed citations
10.
Gottlieb, Ore, Hiroki Nagakura, Alexander Tchekhovskoy, et al.. (2023). Jetted and Turbulent Stellar Deaths: New LVK-detectable Gravitational-wave Sources. The Astrophysical Journal Letters. 951(2). L30–L30. 11 indexed citations
11.
Gossage, Seth, Vicky Kalogera, & Meng Sun. (2023). Magnetic Braking with MESA Evolutionary Models in the Single Star and Low-mass X-Ray Binary Regimes. The Astrophysical Journal. 950(1). 27–27. 14 indexed citations
12.
Rocha, Kyle A., Jeff J. Andrews, C. P. L. Berry, et al.. (2022). Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations. The Astrophysical Journal. 938(1). 64–64. 4 indexed citations
13.
Aggarwal, N., M. Teo, Masha Baryakhtar, et al.. (2022). Searching for New Physics with a Levitated-Sensor-Based Gravitational-Wave Detector. Physical Review Letters. 128(11). 111101–111101. 69 indexed citations
14.
Andrews, Jeff J., et al.. (2021). Targeted Modeling of GW150914's Binary Black Hole Source with Dart_board. The Astrophysical Journal Letters. 914(2). L32–L32. 11 indexed citations
15.
Zevin, M., Luke Zoltan Kelley, Anya E. Nugent, et al.. (2020). sGRB Progenitor Constraints. Zenodo (CERN European Organization for Nuclear Research). 16 indexed citations
16.
Aggarwal, N., et al.. (2019). High frequency gravitational wave detection with levitated nano objects.. Bulletin of the American Physical Society. 2019.
17.
Haggard, Daryl, Melania Nynka, John J. Ruan, et al.. (2017). A Deep Chandra X-Ray Study of Neutron Star Coalescence GW170817. Leicester Research Archive (University of Leicester). 117 indexed citations
18.
Kalogera, Vicky & Marc van der Sluys. (2010). INTERNATIONAL CONFERENCE ON BINARIES: In celebration of Ron Webbink's 65th Birthday. AIPC. 1314. 9 indexed citations
19.
Zezas, A., A. E. Hornschemeier, Roger Brissenden, et al.. (2009). Accreting Binary Populations and ISM Evolution in Galaxies. 2010. 331. 1 indexed citations
20.
Bulik, T., et al.. (2002). The distribution of mass ratios in compact object binaries. 2 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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