Hume A. Feldman

2.7k total citations
51 papers, 1.7k citations indexed

About

Hume A. Feldman is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Hume A. Feldman has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Astronomy and Astrophysics, 12 papers in Instrumentation and 11 papers in Nuclear and High Energy Physics. Recurrent topics in Hume A. Feldman's work include Cosmology and Gravitation Theories (33 papers), Galaxies: Formation, Evolution, Phenomena (32 papers) and Astronomy and Astrophysical Research (12 papers). Hume A. Feldman is often cited by papers focused on Cosmology and Gravitation Theories (33 papers), Galaxies: Formation, Evolution, Phenomena (32 papers) and Astronomy and Astrophysical Research (12 papers). Hume A. Feldman collaborates with scholars based in United States, Canada and United Kingdom. Hume A. Feldman's co-authors include Richard Watkins, Michael J. Hudson, J. N. Fry, Joshua A. Frieman, Román Scoccimarro, Robert Brandenberger, M. Hicken, R. Kirshner, Stephen J. Turnbull and S. F. Shandarin and has published in prestigious journals such as Science, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Hume A. Feldman

50 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hume A. Feldman United States 22 1.6k 531 335 182 55 51 1.7k
E. Sefusatti Italy 24 1.8k 1.1× 744 1.4× 466 1.4× 172 0.9× 44 0.8× 42 1.9k
P. Fosalba Spain 20 1.3k 0.8× 375 0.7× 390 1.2× 100 0.5× 48 0.9× 39 1.4k
Adi Nusser Israel 28 2.3k 1.5× 894 1.7× 599 1.8× 222 1.2× 78 1.4× 97 2.4k
Patrick Valageas France 24 1.8k 1.1× 839 1.6× 233 0.7× 201 1.1× 78 1.4× 108 1.9k
P. T. P. Viana Portugal 24 1.7k 1.1× 679 1.3× 556 1.7× 101 0.6× 45 0.8× 45 1.8k
Tobias Baldauf United States 22 1.9k 1.2× 593 1.1× 587 1.8× 197 1.1× 94 1.7× 29 2.0k
Chiaki Hikage Japan 20 1.1k 0.7× 360 0.7× 298 0.9× 113 0.6× 52 0.9× 41 1.2k
Shun Saito Japan 26 2.1k 1.3× 921 1.7× 553 1.7× 119 0.7× 67 1.2× 65 2.3k
Héctor Gil-Marín Spain 27 2.1k 1.3× 684 1.3× 610 1.8× 183 1.0× 54 1.0× 45 2.2k
S. Prunet France 23 2.0k 1.3× 923 1.7× 282 0.8× 185 1.0× 28 0.5× 74 2.2k

Countries citing papers authored by Hume A. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Hume A. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hume A. Feldman. 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 Hume A. Feldman. The network helps show where Hume A. Feldman may publish in the future.

Co-authorship network of co-authors of Hume A. Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Hume A. Feldman. A scholar is included among the top collaborators of Hume A. Feldman 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 Hume A. Feldman. Hume A. Feldman 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.
Feldman, Hume A., et al.. (2021). Improved Methods for Estimating Peculiar Velocity Correlation Functions Using Volume Weighting. arXiv (Cornell University). 4 indexed citations
2.
Watkins, Richard & Hume A. Feldman. (2014). Large-scale bulk flows from the Cosmicflows-2 catalogue. Monthly Notices of the Royal Astronomical Society. 447(1). 132–139. 23 indexed citations
3.
Agarwal, Shankar & Hume A. Feldman. (2013). The cosmic Mach number: comparison from observations, numerical simulations and non-linear predictions. Monthly Notices of the Royal Astronomical Society. 432(1). 307–317. 5 indexed citations
4.
Agarwal, Shankar, F. B. Abdalla, Hume A. Feldman, O. Lahav, & Shaun A. Thomas. (2012). PkANN - I. Non-linear matter power spectrum interpolation through artificial neural networks. Monthly Notices of the Royal Astronomical Society. 424(2). 1409–1418. 40 indexed citations
5.
Ma, Yin-Zhe, Chris Gordon, & Hume A. Feldman. (2011). Peculiar velocity field: Constraining the tilt of the Universe. Physical review. D. Particles, fields, gravitation, and cosmology. 83(10). 48 indexed citations
6.
Feldman, Hume A., Richard Watkins, & Michael J. Hudson. (2010). Cosmic flows on 100 h−1 Mpc scales: standardized minimum variance bulk flow, shear and octupole moments. Monthly Notices of the Royal Astronomical Society. 407(4). 2328–2338. 113 indexed citations
7.
Juszkiewicz, R., Hume A. Feldman, J. N. Fry, & Andrew H. Jaffe. (2009). Nonlinear Effects in the Amplitude of Cosmological Density Fluctuations. arXiv (Cornell University). 15 indexed citations
8.
Zhang, Pengjie, Hume A. Feldman, R. Juszkiewicz, & Albert Stebbins. (2008). A new method of measuring the cluster peculiar velocity power spectrum. Monthly Notices of the Royal Astronomical Society. 388(2). 884–888. 22 indexed citations
9.
Shandarin, S. F., Hume A. Feldman, Katrin Heitmann, & Salman Habib. (2006). Shapes and sizes of voids in the Lambda cold dark matter universe: excursion set approach. Monthly Notices of the Royal Astronomical Society. 367(4). 1629–1640. 52 indexed citations
10.
Shandarin, S. F., Hume A. Feldman, Yongzhong Xu, & Max Tegmark. (2001). Gaussianity of the QMASK Map. arXiv (Cornell University). 1 indexed citations
11.
Feldman, Hume A., Joshua A. Frieman, J. N. Fry, & Román Scoccimarro. (2001). Constraints on Galaxy Bias, Matter Density, and Primordial Non-Gaussianity from thePSCzGalaxy Redshift Survey. Physical Review Letters. 86(8). 1434–1437. 86 indexed citations
12.
Watkins, Richard & Hume A. Feldman. (1995). Interpreting New Data on Large-Scale Bulk Flows. The Astrophysical Journal. 453(2). 14 indexed citations
13.
Feldman, Hume A. & A. E. Evrard. (1993). STRUCTURE IN A LOITERING UNIVERSE. International Journal of Modern Physics D. 2(1). 113–122. 12 indexed citations
14.
Alford, Mark, Hume A. Feldman, & Marcelo Gleiser. (1993). Thermal activation of metastable decay: Testing nucleation theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 47(6). R2168–R2171. 20 indexed citations
15.
Brandenberger, Robert, Viatcheslav Mukhanov, Hume A. Feldman, & Tomislav Prokopec. (1992). Gauge invariant cosmological perturbations: Theory and applications. 13–32. 3 indexed citations
16.
Brandenberger, Robert, Hume A. Feldman, & Justin W. Kung. (1991). Initial conditions for chaotic inflation. Physica Scripta. T36. 64–69. 12 indexed citations
17.
Feldman, Hume A.. (1989). The Dynamics of Scalar Fields in the Early Universe.. PhDT. 1 indexed citations
18.
Brandenberger, Robert & Hume A. Feldman. (1989). The dynamics of scalar fields in the inflationary universe. Physica A Statistical Mechanics and its Applications. 158(1). 343–358. 3 indexed citations
19.
Feldman, Hume A. & Robert Brandenberger. (1989). Chaotic inflation with metric and matter perturbations. Physics Letters B. 227(3-4). 359–366. 31 indexed citations
20.
Feldman, Hume A.. (1969). Some symbolic computations in finite fields. NASA Technical Reports Server (NASA). 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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