Eric S. Perlman

6.4k total citations
142 papers, 3.7k citations indexed

About

Eric S. Perlman is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Eric S. Perlman has authored 142 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Astronomy and Astrophysics, 89 papers in Nuclear and High Energy Physics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Eric S. Perlman's work include Astrophysics and Cosmic Phenomena (86 papers), Galaxies: Formation, Evolution, Phenomena (65 papers) and Astrophysical Phenomena and Observations (51 papers). Eric S. Perlman is often cited by papers focused on Astrophysics and Cosmic Phenomena (86 papers), Galaxies: Formation, Evolution, Phenomena (65 papers) and Astrophysical Phenomena and Observations (51 papers). Eric S. Perlman collaborates with scholars based in United States, United Kingdom and Australia. Eric S. Perlman's co-authors include John T. Stocke, P. Padovani, P. Giommi, W. B. Sparks, Markos Georganopoulos, Hermine Landt, C. Packham, J. A. Biretta, L. R. Jones and H. Ebeling and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Eric S. Perlman

135 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Perlman United States 38 3.3k 2.3k 269 181 101 142 3.7k
Massimo Viola Netherlands 23 1.4k 0.4× 444 0.2× 450 1.7× 97 0.5× 42 0.4× 59 1.7k
D. M. Palmer United States 23 3.5k 1.0× 1.1k 0.5× 250 0.9× 39 0.2× 44 0.4× 362 4.0k
Ehud Nakar Israel 41 5.3k 1.6× 2.2k 1.0× 189 0.7× 51 0.3× 18 0.2× 115 5.5k
J. L. Matteson United States 23 2.5k 0.7× 1.3k 0.6× 122 0.5× 132 0.7× 71 0.7× 120 3.0k
A. Robinson United States 23 1.1k 0.3× 625 0.3× 160 0.6× 245 1.4× 80 0.8× 102 1.8k
G. Kanbach Germany 29 2.5k 0.8× 1.7k 0.8× 45 0.2× 86 0.5× 83 0.8× 142 3.0k
Michael Koss United States 30 2.6k 0.8× 854 0.4× 521 1.9× 134 0.7× 59 0.6× 115 2.9k
J. P. Osborne United Kingdom 34 4.0k 1.2× 1.5k 0.7× 207 0.8× 17 0.1× 38 0.4× 265 4.6k
A. J. Korn Sweden 31 2.9k 0.9× 342 0.1× 1.3k 4.8× 241 1.3× 51 0.5× 76 3.2k
Jonathan Granot United States 37 3.8k 1.1× 1.7k 0.8× 148 0.6× 52 0.3× 20 0.2× 119 3.9k

Countries citing papers authored by Eric S. Perlman

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Perlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Perlman. 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 Eric S. Perlman. The network helps show where Eric S. Perlman may publish in the future.

Co-authorship network of co-authors of Eric S. Perlman

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Perlman. A scholar is included among the top collaborators of Eric S. Perlman 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 Eric S. Perlman. Eric S. Perlman 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.
Chiaberge, M., Erini Lambrides, Eileen T. Meyer, et al.. (2024). Powerful Radio-loud Quasars Are Triggered by Galaxy Mergers in the Cosmic Bright Ages. The Astrophysical Journal. 963(2). 91–91. 9 indexed citations
2.
Perlman, Eric S., et al.. (2023). A QPO in Mkn 421 from Archival RXTE Data. The Astrophysical Journal. 950(2). 174–174. 4 indexed citations
3.
Caballero‐Nieves, S. M., et al.. (2022). Characteristics of Kepler Eclipsing Binaries Displaying a Significant O'Connell Effect. arXiv (Cornell University). 14 indexed citations
4.
Kinahan, Paul E., Eric S. Perlman, John J. Sunderland, et al.. (2020). The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy. Radiology. 294(3). 647–657. 50 indexed citations
5.
Perlman, Eric S., M. Birkinshaw, M. Kadler, et al.. (2019). Relativistic Jets in the Accretion & Collimation Zone: New Challenges Enabled by New Instruments. arXiv (Cornell University). 51(3). 16. 2 indexed citations
6.
López-Rodríguez, Enrique, A. Alonso‐Herrero, T. Díaz-Santos, et al.. (2018). The origin of the mid-infrared nuclear polarization of active galactic nuclei. Monthly Notices of the Royal Astronomical Society. 478(2). 2350–2358. 7 indexed citations
7.
Harris, D. E., D. A. Schwartz, Aneta Siemiginowska, et al.. (2017). A Multi-band Study of the Remarkable Jet in Quasar 4C+19.44. The Astrophysical Journal. 846(2). 119–119. 7 indexed citations
8.
Miller, Matthew P., Lale Kostakoğlu, Daniel A. Pryma, et al.. (2017). Reader Training for the Restaging of Biochemically Recurrent Prostate Cancer Using 18F-Fluciclovine PET/CT. Journal of Nuclear Medicine. 58(10). 1596–1602. 26 indexed citations
9.
García-Bernete, I., C. Ramos Almeida, J. A. Acosta‐Pulido, et al.. (2016). The nuclear and extended mid-infrared emission of Seyfert galaxies. Monthly Notices of the Royal Astronomical Society. 463(4). 3531–3555. 16 indexed citations
10.
Perlman, Eric S., et al.. (2016). New Constraints on Quantum Gravity from X-ray and Gamma-Ray Observationsα. AAS. 227. 1 indexed citations
11.
Irwin, J., R. N. Henriksen, M. Krause, et al.. (2015). CHANG-ES V: Nuclear Outflow in a Virgo Cluster Spiral after a Tidal Disruption Event. CaltechAUTHORS (California Institute of Technology). 26 indexed citations
12.
Mason, Rachel, A. Rodríguez-Ardila, Lucimara P. Martins, et al.. (2015). THE NUCLEAR NEAR-INFRARED SPECTRAL PROPERTIES OF NEARBY GALAXIES. The Astrophysical Journal Supplement Series. 217(1). 13–13. 38 indexed citations
13.
Ichikawa, Kohei, C. Packham, C. Ramos Almeida, et al.. (2015). THE DIFFERENCES IN THE TORUS GEOMETRY BETWEEN HIDDEN AND NON-HIDDEN BROAD LINE ACTIVE GALACTIC NUCLEI. The Astrophysical Journal. 803(2). 57–57. 59 indexed citations
14.
Graham, Michael M., Richard L. Wahl, John M. Hoffman, et al.. (2015). Summary of the UPICT Protocol for 18F-FDG PET/CT Imaging in Oncology Clinical Trials. Journal of Nuclear Medicine. 56(6). 955–961. 80 indexed citations
15.
Cara, Mihai, Eric S. Perlman, Y. Uchiyama, et al.. (2013). POLARIMETRY AND THE HIGH-ENERGY EMISSION MECHANISMS IN QUASAR JETS: THE CASE OF PKS 1136–135. The Astrophysical Journal. 773(2). 186–186. 27 indexed citations
16.
Schwartz, D. A., Aneta Siemiginowska, D. M. Worrall, et al.. (2007). A Deep Chandra Observation Of The Pks1055+201 Jets, Lobes, And Hotspots. eCite Digital Repository (University of Tasmania). 210. 1 indexed citations
17.
Maughan, B. J., L. R. Jones, H. Ebeling, et al.. (2003). ChandraX‐Ray Analysis of the Massive High‐Redshift Galaxy Clusters Cl J1113.1−2615 and Cl J0152.7−1357. The Astrophysical Journal. 587(2). 589–604. 50 indexed citations
18.
Java, Akshay & Eric S. Perlman. (2002). Predictive Mining of Time Series Data. AAS. 200. 2 indexed citations
19.
Perlman, Eric S., P. Padovani, Hermine Landt, et al.. (2001). Surveys and the Blazar Parameter Space. CERN Bulletin. 227. 200. 1 indexed citations
20.
Perlman, Eric S. & Demosthenes Kazanas. (1997). Low-state gamma-ray emission from blazars and the gamma-ray background. ASPC. 110. 371. 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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