M. J. Willis

3.7k citations
51 papers · 1.5k · h-index 22

Impact in

Papers in

M. J. Willis

48 papers receiving 1.5k citations

Peers

M. J. Willis
Comparison fields: 5 of 67
  • Atmospheric Science 1.2k
  • Management, Monitoring, Policy and Law 313
  • Oceanography 206
  • Geophysics 200
  • Pulmonary and Respiratory Medicine 331
Replace Eyjólfur Magnússon with:
Eyjólfur Magnússon Iceland
Daniel Steinhage Germany
E. Le Meur France
Rupert Gladstone Finland
Veit Helm Germany
Huw Horgan New Zealand
Malcolm McMillan United Kingdom
I. D. Bartholomew United Kingdom
A. M. Le Brocq United Kingdom
T. T. Creyts United States
M. J. Willis relative to Eyjólfur Magnússon Iceland Eyjólfur Magnússon's profile →
Citations per field
00.5×3.3×
Eyjólfur Magnússon · 1×
Citations per year

Countries citing papers authored by M. J. Willis

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. J. Willis, 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. J. Willis Line = papers co-authored together M. J. Willis 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 2018180
2 2019148
3 2012120
4 2017111
5 2011104
6 2016101
7 201686
8 201573
9 200971
10 201748
11 201347
12 201542
13
ArcticDEM; A Publically Available, High Resolution Elevation Model of the Arctic
201636
14 201834
15 201832
16 201129
17 201426
18 201623
19 202223
20 201923

About M. J. Willis

M. J. Willis is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine, Geophysics, Environmental Chemistry and Management, Monitoring, Policy and Law, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryospheric studies and observations (28 papers), Climate change and permafrost (17 papers), Winter Sports Injuries and Performance (15 papers), Arctic and Antarctic ice dynamics (14 papers), Geology and Paleoclimatology Research (7 papers), Methane Hydrates and Related Phenomena (7 papers), earthquake and tectonic studies (6 papers) and Landslides and related hazards (6 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Management, Monitoring, Policy and Law (313 citations), Oceanography (206 citations), Geophysics (200 citations) and Pulmonary and Respiratory Medicine (331 citations). M. J. Willis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include M. E. Pritchard, A. K. Melkonian, Michael Bevis, Andrés Rivera, Shfaqat Abbas Khan, J. M. Ramage, Dana J. Caccamise, Eric Kendrick, Abel Brown and Dan H. Shugar. Their work appears in journals such as Remote Sensing of Environment, ˜The œcryosphere, Geophysical Research Letters, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Earth Surface.

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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