Peter Mitchell

3.4k total citations · 1 hit paper
57 papers, 2.4k citations indexed

About

Peter Mitchell is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Peter Mitchell has authored 57 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Astronomy and Astrophysics, 22 papers in Instrumentation and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Peter Mitchell's work include Galaxies: Formation, Evolution, Phenomena (29 papers), Astronomy and Astrophysical Research (22 papers) and Astrophysics and Star Formation Studies (10 papers). Peter Mitchell is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (29 papers), Astronomy and Astrophysical Research (22 papers) and Astrophysics and Star Formation Studies (10 papers). Peter Mitchell collaborates with scholars based in United Kingdom, Netherlands and France. Peter Mitchell's co-authors include C. G. Lacey, Joop Schaye, Claudia del P. Lagos, C. M. Baugh, Shaun Cole, R. G. Bower, Robin J. H. Clark, Violeta González-Pérez, John Helly and Carlos S. Frenk and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Peter Mitchell

53 papers receiving 2.3k citations

Hit Papers

A unified multiwavelength model of galaxy formation 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Mitchell United Kingdom 27 1.9k 985 327 127 125 57 2.4k
R. Davies Germany 41 5.0k 2.5× 1.6k 1.6× 537 1.6× 377 3.0× 151 1.2× 166 5.3k
Kim‐Vy Tran United States 32 2.4k 1.2× 1.5k 1.5× 228 0.7× 77 0.6× 79 0.6× 98 2.5k
Michael J. West United States 35 4.6k 2.4× 2.5k 2.6× 363 1.1× 149 1.2× 173 1.4× 94 4.8k
Yutaka Fujita Japan 25 1.5k 0.8× 451 0.5× 573 1.8× 65 0.5× 48 0.4× 130 2.0k
Jiasheng Huang United States 31 2.6k 1.3× 1.4k 1.4× 367 1.1× 138 1.1× 57 0.5× 110 3.7k
C. E. Woodward United States 30 3.2k 1.6× 436 0.4× 331 1.0× 234 1.8× 20 0.2× 217 3.7k
V. D. Ivanov Chile 28 2.4k 1.2× 1.0k 1.1× 149 0.5× 85 0.7× 22 0.2× 221 2.7k
P. Richter Germany 29 2.1k 1.1× 286 0.3× 494 1.5× 213 1.7× 33 0.3× 87 2.4k
H. K. C. Yee Canada 48 7.3k 3.7× 4.1k 4.1× 1.1k 3.4× 359 2.8× 277 2.2× 185 7.8k
Andreas H. Pawlik Germany 17 1.3k 0.7× 394 0.4× 377 1.2× 159 1.3× 17 0.1× 26 1.6k

Countries citing papers authored by Peter Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Peter Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Mitchell. A scholar is included among the top collaborators of Peter Mitchell 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 Peter Mitchell. Peter Mitchell 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
2.
Mitchell, Peter, et al.. (2021). Explaining the scatter in the galaxy mass-metallicity relation with gas flows. arXiv (Cornell University). 20 indexed citations
3.
Leclercq, Floriane, Roland Bacon, Anne Verhamme, et al.. (2020). The MUSE Hubble Ultra Deep Field Survey. Astronomy and Astrophysics. 635. A82–A82. 49 indexed citations
4.
Sugahara, Yuma, Masami Ouchi, Yuichi Harikane, et al.. (2019). Fast Outflows Identified in Early Star-forming Galaxies at z = 5–6. The Astrophysical Journal. 886(1). 29–29. 27 indexed citations
5.
Zabl, Johannes, N. Bouché, Ilane Schroetter, et al.. (2019). MusE GAs FLOw and Wind (MEGAFLOW) II. A study of gas accretion around z ≈ 1 star-forming galaxies with background quasars. Monthly Notices of the Royal Astronomical Society. 485(2). 1961–1980. 90 indexed citations
6.
Boogaard, Leindert, J. Brinchmann, N. Bouché, et al.. (2018). The MUSE Hubble Ultra Deep Field Survey. Astronomy and Astrophysics. 619. A27–A27. 62 indexed citations
7.
Hashimoto, Takuya, Thibault Garel, B. Guiderdoni, et al.. (2017). The MUSE Hubble Ultra Deep Field Survey. X. Lyα equivalent widths at 2.9 < z < 6.6. HAL (Le Centre pour la Communication Scientifique Directe). 27 indexed citations
9.
Leclercq, Floriane, Roland Bacon, L. Wisotzki, et al.. (2017). The MUSE Hubble Ultra Deep Field Survey. Astronomy and Astrophysics. 608. A8–A8. 142 indexed citations
10.
Hashimoto, Takuya, Thibault Garel, B. Guiderdoni, et al.. (2017). The MUSEHubbleUltra Deep Field Survey. Astronomy and Astrophysics. 608. A10–A10. 51 indexed citations
11.
Guo, Quan, Violeta González-Pérez, Qi Guo, et al.. (2016). Galaxies in the EAGLE hydrodynamical simulation and in the Durham and Munich semi-analytical models. Monthly Notices of the Royal Astronomical Society. 461(4). 3457–3482. 70 indexed citations
12.
Campbell, David J. R., C. M. Baugh, Peter Mitchell, et al.. (2015). A new methodology to test galaxy formation models using the dependence of clustering on stellar mass. Monthly Notices of the Royal Astronomical Society. 452(1). 852–871. 23 indexed citations
13.
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
14.
Mitchell, Peter, Elizabeth Ratcliffe, Paul Hourd, David Williams, & Robert J. Thomas. (2014). A Quality-by-Design Approach to Risk Reduction and Optimization for Human Embryonic Stem Cell Cryopreservation Processes. Tissue Engineering Part C Methods. 20(12). 941–950. 15 indexed citations
15.
Mitchell, Peter. (2011). Location behavior of USDA inspected meat and poultry slaughter plants in the United States: A spatial probit approach. Purdue e-Pubs (Purdue University System). 313(20). 1295–6.
16.
Tare, Rahul S., et al.. (2011). In search of the skeletal stem cell: isolation and separation strategies at the macro/micro scale for skeletal regeneration. Lab on a Chip. 11(7). 1206–1206. 19 indexed citations
17.
Tare, Rahul S., Peter Mitchell, Janos M. Kanczler, & Richard O. C. Oreffo. (2011). Isolation, Differentiation, and Characterisation of Skeletal Stem Cells from Human Bone Marrow In Vitro and In Vivo. Methods in molecular biology. 816. 83–99. 17 indexed citations
18.
19.
Mitchell, Peter. (2003). Public markets show signs of life. Nature Biotechnology. 21(8). 833–834. 1 indexed citations
20.
Mitchell, Peter, et al.. (1989). Responses of ‘Bartlett’ Pear to Withholding Irrigation, Regulated Deficit Irrigation, and Tree Spacing. Journal of the American Society for Horticultural Science. 114(1). 15–19. 72 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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