M. Williamson

498 citations
51 papers · 380 · h-index 6

Impact in

Papers in

M. Williamson

41 papers receiving 345 citations

Peers

M. Williamson
Comparison fields: 5 of 104
  • Ecological Modeling 38
  • Ecology, Evolution, Behavior and Systematics 77
  • Nature and Landscape Conservation 48
  • Ecology 94
  • Modeling and Simulation 15
Replace Niamh B. O’Hara with:
Niamh B. O’Hara United States
Christopher Strickland United States
F. R. Adler United States
Natalia Petrovskaya United Kingdom
Dae‐Seong Lee South Korea
Pius Korner‐Nievergelt Switzerland
Melissa G. Kramer United States
Emma Gardner United Kingdom
Manuel Falconi Mexico
Cailin Xu Canada
M. Williamson relative to Niamh B. O’Hara United States Niamh B. O’Hara's profile →
Citations per field
00.5×3.4×
Niamh B. O’Hara · 1×
Citations per year

Countries citing papers authored by M. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by M. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Williamson Line = papers co-authored together M. Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998169
2 199743
3 200241
4 202023
5 19927
6 19996
7 19965
8 20115
9 20065
10 19985
11 20214
12 20214
13 20174
14 19924
15 19863
16
Determination of the Geopotential
19733
17 20213
18 19873
19 20193
20 20163

About M. Williamson

M. Williamson is a scholar working on Astronomy and Astrophysics, Aerospace Engineering, Electrical and Electronic Engineering, Plant Science and Physiology, having authored 51 papers that have together received 380 indexed citations. Recurring topics across this work include Space exploration and regulation (11 papers), Space Science and Extraterrestrial Life (8 papers), Spacecraft Design and Technology (5 papers), Space Exploration and Technology (4 papers), Spaceflight effects on biology (4 papers), Geophysics and Gravity Measurements (3 papers), COVID-19 epidemiological studies (2 papers) and Microwave Engineering and Waveguides (2 papers). The work is most often cited by research in Ecological Modeling (38 citations), Ecology, Evolution, Behavior and Systematics (77 citations), Nature and Landscape Conservation (48 citations), Ecology (94 citations) and Modeling and Simulation (15 citations). M. Williamson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Georgia Athanasiadou, Andrew Nix, Rashid Ahmed, Gary G. Schwartz, Roy M. Anderson, Richard Lee Storch, Pablo de León, Loren D. Gautz, Yoshihide Kozai and Joachim D. Mueller. Their work appears in journals such as Biological Invasions, Acta Astronautica, Plant Disease, International Journal of Environmental Research and Public Health and Journal of Animal Ecology.

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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