Mark S. Murphy

483 citations
17 papers · 380 · h-index 7

Impact in

Papers in

Mark S. Murphy

16 papers receiving 372 citations

Peers

Mark S. Murphy
Comparison fields: 5 of 73
  • Environmental Chemistry 95
  • Oceanography 97
  • Neurology 70
  • Small Animals 30
  • Water Science and Technology 40
Replace Guomei Wei with:
Guomei Wei China
Tinglu Zhang China
Dave Foley United States
Binbin Su China
Evan A. Schwartz United States
Federico Fiorentino Italy
Matthew J. Sabo United States
Richard Johansen United States
Kazuhisa Takeuchi Japan
Tor Eiliv Lein Norway
Mark S. Murphy relative to Guomei Wei China Guomei Wei's profile →
Citations per field
00.5×2×2.6×
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Citations per year

Countries citing papers authored by Mark S. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014142
2 200886
3 201664
4 202025
5 200518
6 202017
7 20197
8 20235
9 20205
10 20193
11 20232
12 20162
13
Total Lightning Characteristics and Inferred Charge Structure of Ordinary Convection.
20051
14 20001
15 20171
16 20251
17 20250

About Mark S. Murphy

Mark S. Murphy is a scholar working on Environmental Engineering, Ocean Engineering, Aerospace Engineering, Astronomy and Astrophysics and Epidemiology, having authored 17 papers that have together received 380 indexed citations. Recurring topics across this work include Wind Energy Research and Development (3 papers), Mycobacterium research and diagnosis (3 papers), Lightning and Electromagnetic Phenomena (2 papers), Wind and Air Flow Studies (2 papers), High voltage insulation and dielectric phenomena (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Atmospheric chemistry and aerosols (1 paper). The work is most often cited by research in Environmental Chemistry (95 citations), Oceanography (97 citations), Neurology (70 citations), Small Animals (30 citations) and Water Science and Technology (40 citations). Mark S. Murphy has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Ross S. Lunetta, Blake A. Schaeffer, Darryl J. Keith, Richard P. Stumpf, Stephen J. Quinn, Bruce Taylor, Philip J. Parkin, Jeanine Young, Jason E. Stout and Jean-Marie Maillard. Their work appears in journals such as Neurology, Journal of Infection, Wind energy science, Monthly Weather Review and The Leading Edge.

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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