Robert Feldmann

12.6k total citations · 4 hit papers
123 papers, 5.4k citations indexed

About

Robert Feldmann is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Robert Feldmann has authored 123 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Astronomy and Astrophysics, 45 papers in Instrumentation and 12 papers in Nuclear and High Energy Physics. Recurrent topics in Robert Feldmann's work include Galaxies: Formation, Evolution, Phenomena (79 papers), Astronomy and Astrophysical Research (45 papers) and Stellar, planetary, and galactic studies (39 papers). Robert Feldmann is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (79 papers), Astronomy and Astrophysical Research (45 papers) and Stellar, planetary, and galactic studies (39 papers). Robert Feldmann collaborates with scholars based in United States, Switzerland and Canada. Robert Feldmann's co-authors include Howard I. Maïbach, Howard I. Maibach, Claude‐André Faucher‐Giguère, Philip F. Hopkins, Dušan Kereš, Eliot Quataert, Christopher C. Hayward, Lucio Mayer, Xiangcheng Ma and Andrew Wetzel and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Robert Feldmann

118 papers receiving 4.9k citations

Hit Papers

Regional Variation in Percutaneous Penetration of 14C Cor... 1967 2026 1986 2006 1967 1970 1971 1974 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Regional Variation in Percutaneous Penetration of 14C Cortisol in Man**From the Division of Dermatology, Department of Medicine, University of California School of Medicine, San Francisco, California 94122.
    1967 369 citations Robert Feldmann et al. profile →
  2. Absorption of Some Organic Compounds Through the Skin in Man
    1970 316 citations Robert Feldmann et al. profile →
  3. Regional Variation in Percutaneous Penetration in Man
    1971 297 citations Robert Feldmann et al. profile →
  4. Percutaneous penetration of some pesticides and herbicides in man
    1974 278 citations Robert Feldmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Feldmann United States 41 3.2k 1.4k 1.0k 912 464 123 5.4k
Yutaka Komiyama Japan 47 4.1k 1.3× 2.1k 1.5× 396 0.4× 27 0.0× 579 1.2× 258 10.4k
Takashi Isobe Japan 34 553 0.2× 92 0.1× 38 0.0× 63 0.1× 215 0.5× 232 4.2k
J. C. Houck United States 40 2.1k 0.6× 241 0.2× 110 0.1× 28 0.0× 744 1.6× 215 4.9k
D. Lutz Germany 55 9.4k 2.9× 2.9k 2.0× 11 0.0× 12 0.0× 1.2k 2.7× 198 9.9k
H. Salo Finland 40 3.8k 1.2× 1.6k 1.1× 159 0.2× 6 0.0× 108 0.2× 156 4.2k
D. J. Armstrong United Kingdom 33 681 0.2× 268 0.2× 4 0.0× 548 0.6× 21 0.0× 96 3.4k
Martin M. Roth Germany 44 1.8k 0.6× 886 0.6× 2 0.0× 39 0.0× 162 0.3× 280 6.2k
M. Kerscher Germany 16 442 0.1× 135 0.1× 167 0.2× 63 0.1× 112 0.2× 38 836
Masayuki Umemura Japan 37 3.0k 0.9× 635 0.4× 149 0.1× 4 0.0× 787 1.7× 184 5.5k
Joseph Lehár United States 28 1.4k 0.4× 393 0.3× 5 0.0× 23 0.0× 293 0.6× 66 5.6k

Countries citing papers authored by Robert Feldmann

Since Specialization
Citations

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

Fields of papers citing papers by Robert Feldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Feldmann

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Feldmann. A scholar is included among the top collaborators of Robert Feldmann 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 Robert Feldmann. Robert Feldmann 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.
Moreno, Jorge, Robert Feldmann, Joanna M. Piotrowska, et al.. (2025). Effects of Galactic Environment on Size and Dark Matter Content in Low-mass Galaxies. The Astrophysical Journal. 983(2). 93–93. 4 indexed citations
2.
Suess, Katherine A., Mariska Kriek, David J. Setton, et al.. (2025). SQuIGG L → E: Observational Evidence of Low Ongoing Star Formation Rates in Gas-rich Post-starburst Galaxies. The Astrophysical Journal. 981(1). 60–60. 1 indexed citations
3.
Spilker, Justin, Katherine E. Whitaker, Desika Narayanan, et al.. (2025). Unusually High Gas-to-dust Ratios Observed in High-redshift Quiescent Galaxies. The Astrophysical Journal Letters. 993(2). L40–L40.
4.
Sales, Laura V., Andrew Wetzel, Jorge Moreno, et al.. (2025). Discs no more: the morphology of low-mass simulated galaxies in FIREbox. Monthly Notices of the Royal Astronomical Society. 544(4). 4651–4664. 1 indexed citations
5.
Sun, Guochao, et al.. (2024). The High-Redshift Gas-Phase Mass–Metallicity Relation in FIRE-2. The Astrophysical Journal Letters. 967(2). L41–L41. 18 indexed citations
6.
Bachmann, Florian, et al.. (2024). Model Parameter Calibration for Vibration Fatigue Analysis by Means of Bayesian Updating and Artificial Neural Network Based Surrogate Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 9(3). 1 indexed citations
7.
Chemerynska, Iryna, Hakim Atek, Pratika Dayal, et al.. (2024). The Extreme Low-mass End of the Mass–Metallicity Relation at z ∼ 7. The Astrophysical Journal Letters. 976(1). L15–L15. 11 indexed citations
8.
Feldmann, Robert, Michael Boylan-Kolchin, James S. Bullock, et al.. (2024). Elevated UV luminosity density at Cosmic Dawn explained by non-evolving, weakly mass-dependent star formation efficiency. Monthly Notices of the Royal Astronomical Society. 536(1). 988–1016. 11 indexed citations
9.
Liang, Lichen, Robert Feldmann, Norman Murray, et al.. (2023). [C ii] 158 μm emission as an indicator of galaxy star formation rate. Monthly Notices of the Royal Astronomical Society. 528(1). 499–541. 13 indexed citations
10.
Setton, David J., Rachel Bezanson, Jenny E. Greene, et al.. (2023). Merger Signatures are Common, but not Universal, in Massive, Recently Quenched Galaxies at z ∼ 0.7. The Astrophysical Journal. 949(1). 5–5. 8 indexed citations
11.
Hassan, Sultan, Christopher C. Lovell, Piero Madau, et al.. (2023). JWST Constraints on the UV Luminosity Density at Cosmic Dawn: Implications for 21 cm Cosmology. The Astrophysical Journal Letters. 958(1). L3–L3. 12 indexed citations
12.
Helled, Ravit, et al.. (2022). The rotation of planet-hosting stars. Monthly Notices of the Royal Astronomical Society. 513(2). 2057–2075. 1 indexed citations
13.
Hafen, Zachary, Jonathan Stern, James S. Bullock, et al.. (2022). Hot-mode accretion and the physics of thin-disc galaxy formation. Monthly Notices of the Royal Astronomical Society. 514(4). 5056–5073. 71 indexed citations
14.
Rohr, Eric, Robert Feldmann, James S. Bullock, et al.. (2021). The galaxy–halo size relation of low-mass galaxies in FIRE. Monthly Notices of the Royal Astronomical Society. 510(3). 3967–3985. 13 indexed citations
15.
Wetzel, Andrew, et al.. (2021). 3D gas-phase elemental abundances across the formation histories of Milky Way-mass galaxies in the FIRE simulations: initial conditions for chemical tagging. Monthly Notices of the Royal Astronomical Society. 505(3). 4586–4607. 38 indexed citations
16.
Su, Kung-Yi, Philip F. Hopkins, Greg L. Bryan, et al.. (2021). Which AGN jets quench star formation in massive galaxies?. Monthly Notices of the Royal Astronomical Society. 507(1). 175–204. 49 indexed citations
17.
Stern, Jonathan, Claude‐André Faucher‐Giguère, Drummond B. Fielding, et al.. (2021). Virialization of the Inner CGM in the FIRE Simulations and Implications for Galaxy Disks, Star Formation, and Feedback. The Astrophysical Journal. 911(2). 88–88. 93 indexed citations
18.
Novak, Mladen, Bram Venemans, Fabian Walter, et al.. (2020). No Evidence for [C ii] Halos or High-velocity Outflows in z ≳ 6 Quasar Host Galaxies. The Astrophysical Journal. 904(2). 131–131. 46 indexed citations
19.
Bozek, Brandon, Alex Fitts, Michael Boylan-Kolchin, et al.. (2018). Warm FIRE: simulating galaxy formation with resonant sterile neutrino dark matter. Monthly Notices of the Royal Astronomical Society. 483(3). 4086–4099. 32 indexed citations
20.
Price, Sedona H., Mariska Kriek, Robert Feldmann, et al.. (2017). Testing the Recovery of Intrinsic Galaxy Sizes and Masses of z ∼ 2 Massive Galaxies Using Cosmological Simulations. The Astrophysical Journal Letters. 844(1). L6–L6. 20 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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