E. Bernhard

697 total citations
17 papers, 476 citations indexed

About

E. Bernhard is a scholar working on Astronomy and Astrophysics, Instrumentation and Global and Planetary Change. According to data from OpenAlex, E. Bernhard has authored 17 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 10 papers in Instrumentation and 2 papers in Global and Planetary Change. Recurrent topics in E. Bernhard's work include Galaxies: Formation, Evolution, Phenomena (16 papers), Astronomy and Astrophysical Research (10 papers) and Astrophysics and Star Formation Studies (8 papers). E. Bernhard is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (16 papers), Astronomy and Astrophysical Research (10 papers) and Astrophysics and Star Formation Studies (8 papers). E. Bernhard collaborates with scholars based in United Kingdom, France and United States. E. Bernhard's co-authors include James Mullaney, E. Daddi, D. Elbaz, V. Buat, A. Georgakakis, Peter Mitchell, E. M. Xilouris, C. G. Lacey, G. Magdis and V. Charmandaris and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

E. Bernhard

16 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Bernhard United Kingdom 11 471 206 82 20 10 17 476
Antonios Katsianis China 14 452 1.0× 235 1.1× 59 0.7× 26 1.3× 9 0.9× 25 463
L. Ciesla France 8 473 1.0× 194 0.9× 71 0.9× 17 0.8× 18 1.8× 12 485
Hugh H. Crowl United States 8 682 1.4× 249 1.2× 74 0.9× 18 0.9× 8 0.8× 10 688
S. Sabatini United Kingdom 9 351 0.7× 163 0.8× 67 0.8× 19 0.9× 18 1.8× 21 362
Ted K. Wyder United States 12 558 1.2× 270 1.3× 57 0.7× 20 1.0× 18 1.8× 17 573
Hyewon Suh United States 11 525 1.1× 212 1.0× 109 1.3× 14 0.7× 13 1.3× 18 533
Po-Feng Wu United States 16 565 1.2× 357 1.7× 49 0.6× 20 1.0× 23 2.3× 44 576
L. Marchetti South Africa 14 452 1.0× 185 0.9× 114 1.4× 7 0.3× 9 0.9× 34 474
T. C. Scott Portugal 12 318 0.7× 162 0.8× 31 0.4× 20 1.0× 12 1.2× 36 344
Adam Tomczak United States 15 506 1.1× 323 1.6× 55 0.7× 20 1.0× 23 2.3× 29 512

Countries citing papers authored by E. Bernhard

Since Specialization
Citations

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

Fields of papers citing papers by E. Bernhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Bernhard

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

All Works

17 of 17 papers shown
1.
2.
Dicken, D., C. N. Tadhunter, N. P. H. Nesvadba, et al.. (2022). Deep Herschel observations of the 2 Jy sample: assessing the non-thermal and AGN contributions to the far-IR continuum. Monthly Notices of the Royal Astronomical Society. 519(4). 5807–5827. 2 indexed citations
3.
Bernhard, E., C. N. Tadhunter, J C S Pierce, et al.. (2022). Quantifying the cool ISM in radio AGNs: evidence for late-time retriggering by galaxy mergers and interactions. Monthly Notices of the Royal Astronomical Society. 512(1). 86–103. 7 indexed citations
4.
Morganti, R., Tom Oosterloo, C. N. Tadhunter, E. Bernhard, & J. B. R. Oonk. (2021). Taking snapshots of the jet-ISM interplay: The case of PKS 0023–26. Astronomy and Astrophysics. 656. A55–A55. 24 indexed citations
5.
Tadhunter, C. N., R. Morganti, Francesco Santoro, & E. Bernhard. (2021). Compact radio sources: Triggering and feedback. Astronomische Nachrichten. 342(9-10). 1200–1206. 3 indexed citations
6.
Bernhard, E., et al.. (2021). The post-Herschelview of intrinsic AGN emission: constructing templates for galaxy and AGN emission at IR wavelengths. Monthly Notices of the Royal Astronomical Society. 503(2). 2598–2621. 18 indexed citations
7.
Delvecchio, I., E. Daddi, James Aird, et al.. (2020). The Evolving AGN Duty Cycle in Galaxies Since z ∼ 3 as Encoded in the X-Ray Luminosity Function. The Astrophysical Journal. 892(1). 17–17. 20 indexed citations
8.
Mullaney, James, E. Bernhard, C. M. Harrison, et al.. (2020). A binning-free method reveals a continuous relationship between galaxies’ AGN power and offset from main sequence. Monthly Notices of the Royal Astronomical Society. 495(1). 1392–1402. 15 indexed citations
9.
Delvecchio, I., E. Daddi, Francesco Shankar, et al.. (2019). The galaxy’s gas content regulated by the dark matter halo mass results in a superlinear M BH–M ⋆ Relation. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 11 indexed citations
10.
Zanella, Anita, E. Le Floc’h, C. M. Harrison, et al.. (2019). A contribution of star-forming clumps and accreting satellites to the mass assembly of z ∼ 2 galaxies. Monthly Notices of the Royal Astronomical Society. 489(2). 2792–2818. 47 indexed citations
11.
Mullaney, James, et al.. (2019). Revealing the differences in the SMBH accretion rate distributions of starburst and non-starburst galaxies. Monthly Notices of the Royal Astronomical Society. 487(3). 4071–4082. 7 indexed citations
12.
Bernhard, E., et al.. (2018). Inferring a difference in the star-forming properties of lower versus higher X-ray luminosity AGNs. Monthly Notices of the Royal Astronomical Society Letters. 483(1). L52–L57. 26 indexed citations
13.
Bernhard, E., James Mullaney, James Aird, et al.. (2018). Evidence for a mass-dependent AGN Eddington ratio distribution via the flat relationship between SFR and AGN luminosity. Monthly Notices of the Royal Astronomical Society. 476(1). 436–450. 10 indexed citations
14.
Bernhard, E., James Mullaney, E. Daddi, L. Ciesla, & C. Schreiber. (2016). An enhanced fraction of starbursting galaxies among high Eddington ratio AGNs. Monthly Notices of the Royal Astronomical Society. 460(1). 902–916. 29 indexed citations
15.
Ciesla, L., V. Charmandaris, A. Georgakakis, et al.. (2015). Constraining the properties of AGN host galaxies with spectral energy distribution modelling. Astronomy and Astrophysics. 576. A10–A10. 152 indexed citations
16.
Mullaney, James, D. M. Alexander, James Aird, et al.. (2015). ALMA and Herschel reveal that X-ray-selected AGN and main-sequence galaxies have different star formation rate distributions. Monthly Notices of the Royal Astronomical Society Letters. 453(1). L83–L87. 88 indexed citations
17.
Bernhard, E., M. Béthermin, M. Sargent, et al.. (2014). Modelling the connection between ultraviolet and infrared galaxy populations across cosmic times. Monthly Notices of the Royal Astronomical Society. 442(1). 509–520. 17 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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