I. Arcavi

16.5k total citations · 1 hit paper
117 papers, 3.0k citations indexed

About

I. Arcavi is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, I. Arcavi has authored 117 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Astronomy and Astrophysics, 37 papers in Nuclear and High Energy Physics and 13 papers in Instrumentation. Recurrent topics in I. Arcavi's work include Gamma-ray bursts and supernovae (99 papers), Astrophysical Phenomena and Observations (48 papers) and Pulsars and Gravitational Waves Research (36 papers). I. Arcavi is often cited by papers focused on Gamma-ray bursts and supernovae (99 papers), Astrophysical Phenomena and Observations (48 papers) and Pulsars and Gravitational Waves Research (36 papers). I. Arcavi collaborates with scholars based in United States, Israel and Canada. I. Arcavi's co-authors include A. Gal‐Yam, S. B. Cenko, D. A. Howell, C. McCully, S. Valenti, K. Decker French, Ann I. Zabludoff, David J. Sand, G. Hosseinzadeh and A. V. Filippenko and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

I. Arcavi

100 papers receiving 2.7k citations

Hit Papers

Optical emission from a kilonova following a gravitationa... 2017 2026 2020 2023 2017 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
I. Arcavi United States 31 2.9k 948 283 46 39 117 3.0k
Luc Dessart United States 37 4.1k 1.4× 1.2k 1.3× 349 1.2× 68 1.5× 58 1.5× 133 4.2k
D. Malesani Denmark 25 2.4k 0.8× 634 0.7× 249 0.9× 26 0.6× 33 0.8× 211 2.5k
R. Margutti United States 31 2.6k 0.9× 985 1.0× 120 0.4× 50 1.1× 24 0.6× 142 2.7k
G. Ghirlanda Italy 38 4.0k 1.4× 1.8k 2.0× 306 1.1× 34 0.7× 34 0.9× 136 4.1k
Carles Badenes United States 26 2.2k 0.7× 1.0k 1.1× 259 0.9× 32 0.7× 54 1.4× 73 2.2k
L. P. David United States 26 2.5k 0.9× 880 0.9× 448 1.6× 29 0.6× 73 1.9× 43 2.6k
Kohei Inayoshi Japan 26 2.1k 0.7× 479 0.5× 344 1.2× 40 0.9× 84 2.2× 65 2.2k
L. Amati Italy 23 2.9k 1.0× 889 0.9× 277 1.0× 34 0.7× 22 0.6× 141 3.0k
Laura Chomiuk United States 27 2.4k 0.8× 926 1.0× 295 1.0× 116 2.5× 41 1.1× 153 2.5k
E. I. Sorokina Russia 14 1.9k 0.7× 354 0.4× 365 1.3× 76 1.7× 29 0.7× 29 2.0k

Countries citing papers authored by I. Arcavi

Since Specialization
Citations

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

Fields of papers citing papers by I. Arcavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Arcavi

This figure shows the co-authorship network connecting the top 25 collaborators of I. Arcavi. A scholar is included among the top collaborators of I. Arcavi 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 I. Arcavi. I. Arcavi 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.
Misra, Kuntal, Raya Dastidar, G. Csörnyei, et al.. (2025). Progenitor insights of Type IIP SN 2018pq: a comprehensive photometric and spectroscopic study. Monthly Notices of the Royal Astronomical Society. 541(1). 384–395.
2.
Gangopadhyay, Anjasha, Kuntal Misra, G. Hosseinzadeh, et al.. (2024). Probing the Circumstellar Environment of the Highly Luminous Type IIn Supernova ASASSN-14il. The Astrophysical Journal. 976(1). 86–86. 1 indexed citations
3.
Makrygianni, L., Benny Trakhtenbrot, I. Arcavi, et al.. (2023). AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN. The Astrophysical Journal. 953(1). 32–32. 15 indexed citations
4.
Arcavi, I., et al.. (2023). Needle in a Haystack: Finding Supermassive Black Hole-related Flares in the Zwicky Transient Facility Public Survey. The Astrophysical Journal. 957(1). 57–57. 3 indexed citations
5.
Pellegrino, C., D. Hiramatsu, I. Arcavi, et al.. (2023). SN 2020bio: A Double-peaked, H-poor Type IIb Supernova with Evidence of Circumstellar Interaction. The Astrophysical Journal. 954(1). 35–35. 8 indexed citations
6.
Pellegrino, C., D. A. Howell, J. Vinkó, et al.. (2022). Circumstellar Interaction Powers the Light Curves of Luminous Rapidly Evolving Optical Transients. The Astrophysical Journal. 926(2). 125–125. 32 indexed citations
7.
Gangopadhyay, Anjasha, Kuntal Misra, G. Hosseinzadeh, et al.. (2022). Evolution of a Peculiar Type Ibn Supernova SN 2019wep. The Astrophysical Journal. 930(2). 127–127. 3 indexed citations
8.
Wang, Lifan, N. B. Suntzeff, Lei Hu, et al.. (2022). Using 1991T/1999aa-like Type Ia Supernovae as Standardizable Candles. The Astrophysical Journal. 938(1). 83–83. 4 indexed citations
9.
Leloudas, G., Mattia Bulla, Aleksandar Cikota, et al.. (2022). An asymmetric electron-scattering photosphere around optical tidal disruption events. Nature Astronomy. 6(10). 1193–1202. 16 indexed citations
10.
Singh, Mridweeka, Kuntal Misra, S. Valenti, et al.. (2021). The Fast-evolving Type Ib Supernova SN 2015dj in NGC 7371. The Astrophysical Journal. 909(2). 100–100. 2 indexed citations
11.
Dastidar, Raya, Kuntal Misra, S. Valenti, et al.. (2019). SN 2015an: a normal luminosity type II supernova with low expansion velocity at early phases. Monthly Notices of the Royal Astronomical Society. 490(2). 1605–1619. 4 indexed citations
12.
Arcavi, I., C. McCully, D. Hiramatsu, et al.. (2019). LIGO/Virgo S190426c: Nemo is Unrelated.. GCN. 24251. 1.
13.
Wyatt, S., A. Tohuvavohu, I. Arcavi, et al.. (2019). Announcing the GW Treasure Map. GRB Coordinates Network. 26244. 1. 1 indexed citations
14.
Hosseinzadeh, G., S. Valenti, C. McCully, et al.. (2018). Short-lived Circumstellar Interaction in the Low-luminosity Type IIP SN 2016bkv. The Astrophysical Journal. 861(1). 63–63. 34 indexed citations
15.
Arcavi, I., J. Burke, K. Decker French, et al.. (2018). FLOYDS Classification of AT 2018dyk/ZTF18aajupnt as a Possible Tidal Disruption Event. ATel. 11953. 1. 1 indexed citations
16.
Arcavi, I., G. Hosseinzadeh, P. J. Brown, et al.. (2017). Constraints on the Progenitor of SN 2016gkg from Its Shock-cooling Light Curve. The Astrophysical Journal Letters. 837(1). L2–L2. 30 indexed citations
17.
Taddia, F., J. Sollerman, A. Rubin, et al.. (2016). Metallicity from Type II supernovae from the (i)PTF. Springer Link (Chiba Institute of Technology). 5 indexed citations
18.
Huang, Fang, Xiaofeng Wang, L. Zampieri, et al.. (2016). OPTICAL AND ULTRAVIOLET OBSERVATIONS OF THE VERY YOUNG TYPE IIP SN 2014cx IN NGC 337. The Astrophysical Journal. 832(2). 139–139. 15 indexed citations
19.
Gezari, Suvi, T. Hung, N. Blagorodnova, et al.. (2016). iPTF16fnl: Likely Tidal Disruption Event at 65 Mpc. CaltechAUTHORS (California Institute of Technology). 9433. 1.
20.
Strotjohann, N. L., E. O. Ofek, A. Gal‐Yam, et al.. (2015). SEARCH FOR PRECURSOR ERUPTIONS AMONG TYPE IIB SUPERNOVAE. The Astrophysical Journal. 811(2). 117–117. 13 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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