Mark Kelly

3.0k citations
101 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Mark Kelly

99 papers receiving 1.6k citations

Peers

Mark Kelly
Comparison fields: 5 of 101
  • Environmental Engineering 937
  • Aerospace Engineering 924
  • Computational Mechanics 450
  • Atmospheric Science 377
  • Statistics, Probability and Uncertainty 98
Replace Richard G.J. Flay with:
Richard G.J. Flay New Zealand
Zhenru Shu China
Marc Calaf United States
Yuncheng He China
Shuyang Cao China
Jeroen van Beeck Belgium
Lance Manuel United States
J. A. Peterka United States
Peter Irwin United States
Kemal Hanjalić Netherlands
Mark Kelly relative to Richard G.J. Flay New Zealand Richard G.J. Flay's profile →
Citations per field
00.5×1.5×2.3×
Richard G.J. Flay · 1×
Citations per year

Countries citing papers authored by Mark Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Kelly, 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 Mark Kelly Line = papers co-authored together Mark Kelly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014125
2 201889
3 202274
4 201269
5 201567
6 201460
7 201958
8 201454
9 201050
10 201449
11
Ultrastructural features of a recurrent endothelial myxoma of the left atrium.
197245
12 201737
13 201436
14 201732
15 201631
16 201429
17 201927
18 201425
19 201525
20 200225

About Mark Kelly

Mark Kelly is a scholar working on Environmental Engineering, Atmospheric Science, Aerospace Engineering, Computational Mechanics and Oceanography, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (53 papers), Wind Energy Research and Development (35 papers), Meteorological Phenomena and Simulations (33 papers), Fluid Dynamics and Turbulent Flows (19 papers), Tropical and Extratropical Cyclones Research (10 papers), Aerodynamics and Fluid Dynamics Research (9 papers), Fluid Dynamics and Vibration Analysis (9 papers) and Structural Response to Dynamic Loads (7 papers). The work is most often cited by research in Environmental Engineering (937 citations), Aerospace Engineering (924 citations), Computational Mechanics (450 citations), Atmospheric Science (377 citations) and Statistics, Probability and Uncertainty (98 citations). Mark Kelly has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include P. van der Laan, Nikolay Dimitrov, Jakob Mann, Niels N. Sørensen, Sven‐Erik Gryning, Niels Troldborg, Pierre‐Elouan Réthoré, Jacob Berg, Gunner Chr. Larsen and Andrey Sogachev. Their work appears in journals such as Wind energy science, Boundary-Layer Meteorology, Wind Energy, The Journal of the Acoustical Society of America and Journal of the Atmospheric Sciences.

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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