Eilat Glikman

3.5k total citations
52 papers, 2.1k citations indexed

About

Eilat Glikman is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Eilat Glikman has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 21 papers in Instrumentation and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Eilat Glikman's work include Galaxies: Formation, Evolution, Phenomena (42 papers), Astrophysical Phenomena and Observations (25 papers) and Astronomy and Astrophysical Research (21 papers). Eilat Glikman is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (42 papers), Astrophysical Phenomena and Observations (25 papers) and Astronomy and Astrophysical Research (21 papers). Eilat Glikman collaborates with scholars based in United States, Germany and Switzerland. Eilat Glikman's co-authors include S. G. Djorgovski, R. L. White, D. J. Helfand, A. Mahabal, Daniel Stern, Mark Lacy, M. J. Graham, A. J. Drake, R. H. Becker and E. Christensen and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Eilat Glikman

49 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eilat Glikman United States	23	2.0k	557	461	82	39	52	2.1k
Roberto J. Assef United States	25	2.0k 1.0×	697 1.3×	393 0.9×	53 0.6×	44 1.1×	66	2.0k
S. Bardelli Italy	24	1.8k 0.9×	687 1.2×	671 1.5×	65 0.8×	64 1.6×	83	1.9k
J. Mader United States	10	1.5k 0.7×	671 1.2×	393 0.9×	64 0.8×	61 1.6×	28	1.6k
Gregory B. Poole Australia	25	2.2k 1.1×	885 1.6×	540 1.2×	58 0.7×	35 0.9×	57	2.3k
Ian D. McGreer United States	24	2.2k 1.1×	671 1.2×	588 1.3×	78 1.0×	44 1.1×	40	2.3k
Fuyan Bian United States	25	2.3k 1.2×	698 1.3×	470 1.0×	75 0.9×	34 0.9×	85	2.4k
Andrea Lapi Italy	25	2.0k 1.0×	714 1.3×	481 1.0×	77 0.9×	25 0.6×	140	2.0k
F. Civano United States	27	2.2k 1.1×	721 1.3×	574 1.2×	57 0.7×	30 0.8×	72	2.2k
B. Garilli Italy	22	1.5k 0.7×	628 1.1×	319 0.7×	63 0.8×	49 1.3×	65	1.5k
Federico Lelli United States	26	2.2k 1.1×	895 1.6×	536 1.2×	90 1.1×	36 0.9×	74	2.3k

Countries citing papers authored by Eilat Glikman

Since Specialization

Citations

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

Fields of papers citing papers by Eilat Glikman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eilat Glikman

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

All Works

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20 of 20 papers shown

Simmons, Brooke, William C. Keel, Alison L. Coil, et al.. (2025). Structural decomposition of merger-free galaxies hosting luminous AGNs. Monthly Notices of the Royal Astronomical Society. 537(4). 3511–3524. 1 indexed citations

Glikman, Eilat, Stephanie LaMassa, E. Piconcelli, L. Zappacosta, & Mark Lacy. (2024). Accretion and obscuration in merger-dominated luminous red quasars. Monthly Notices of the Royal Astronomical Society. 528(1). 711–725. 2 indexed citations

Kim, Yongjung, Myungshin Im, Eilat Glikman, et al.. (2024). Eddington ratios of dust-obscured quasars at z ≲ 1: Evidence supporting dust-obscured quasars as young quasars. Astronomy and Astrophysics. 690. A283–A283. 2 indexed citations

Glikman, Eilat, Cristian E. Rusu, Geoff C.-F. Chen, et al.. (2023). A Highly Magnified Gravitationally Lensed Red QSO at z = 2.5 with a Significant Flux Ratio Anomaly. The Astrophysical Journal. 943(1). 25–25. 7 indexed citations

Glikman, Eilat, Ilsang Yoon, Julia M. Comerford, et al.. (2023). A Candidate Dual QSO at Cosmic Noon. The Astrophysical Journal Letters. 951(1). L18–L18. 4 indexed citations

Smethurst, Rebecca, Brooke Simmons, Chris Lintott, et al.. (2021). Kiloparsec-scale AGN outflows and feedback in merger-free galaxies. Monthly Notices of the Royal Astronomical Society. 507(3). 3985–3997. 23 indexed citations

Cooke, Kevin C., Allison Kirkpatrick, Hugo Messias, et al.. (2020). Dying of the Light: An X-Ray Fading Cold Quasar at z ∼ 0.405. The Astrophysical Journal. 903(2). 106–106. 5 indexed citations

Graham, M. J., Nicholas P. Ross, Daniel Stern, et al.. (2019). Understanding extreme quasar optical variability with CRTS – II. Changing-state quasars. Monthly Notices of the Royal Astronomical Society. 491(4). 4925–4948. 71 indexed citations

Ananna, Tonima Tasnim, M. Salvato, Stephanie LaMassa, et al.. (2017). AGN Populations in Large-volume X-Ray Surveys: Photometric Redshifts and Population Types Found in the Stripe 82X Survey. The Astrophysical Journal. 850(1). 66–66. 45 indexed citations

10.

Graham, M. J., S. G. Djorgovski, Daniel Stern, et al.. (2015). A possible close supermassive black-hole binary in a quasar with optical periodicity. Nature. 518(7537). 74–76. 229 indexed citations

11.

Liu, Guilin, Jenny E. Greene, Eilat Glikman, & Nadia L. Zakamska. (2014). Feedback in Luminous Red Quasars at z~0.5. 382. 1 indexed citations

12.

Graham, M. J., S. G. Djorgovski, A. J. Drake, et al.. (2014). A novel variability-based method for quasar selection: evidence for a rest-frame ∼54 d characteristic time-scale★. Monthly Notices of the Royal Astronomical Society. 439(1). 703–718. 53 indexed citations

13.

Glikman, Eilat, Mark Lacy, & T. Urrutia. (2012). Dust-reddened Quasars In First And Ukidss. 220. 1 indexed citations

14.

Mahabal, A., S. G. Djorgovski, A. J. Drake, et al.. (2009). Towards the Automated Classification of Variable Objects and Transients. AAS. 213.

15.

Morton, Timothy D., A. J. Drake, S. G. Djorgovski, et al.. (2008). Archival light curve for the flaring GLAST blazar PKS 1502+106. ATel. 1661. 1. 1 indexed citations

16.

Mahabal, A., A. J. Drake, S. G. Djorgovski, et al.. (2008). Discovery and Confirmation of Supernovae from PQ and CRTS. ATel. 1778. 1. 1 indexed citations

17.

Djorgovski, S. G., Timothy D. Morton, A. J. Drake, et al.. (2008). Archival light curves for the gamma-ray bright blazar 3C 454.3. ATel. 1684. 1. 3 indexed citations

18.

Donalek, C., A. Mahabal, S. G. Djorgovski, et al.. (2008). New Approaches to Object Classification in Synoptic Sky Surveys. AIP conference proceedings. 252–256. 4 indexed citations

19.

Drake, A. J., R. Williams, A. Mahabal, et al.. (2006). VOEventNet: Event Messaging for Astronomy. American Astronomical Society Meeting Abstracts. 209. 1 indexed citations

20.

Glikman, Eilat, D. J. Helfand, R. H. Becker, & R. L. White. (2004). Exploring the Radio Properties of Radio Quiet Quasars. ASPC. 311. 351. 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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