M.B. Long

2.1k citations
47 papers · 1.8k · h-index 23

Impact in

Papers in

M.B. Long

44 papers receiving 1.7k citations

Peers

M.B. Long
Comparison fields: 5 of 69
  • Fluid Flow and Transfer Processes 821
  • Computational Mechanics 1.1k
  • Acoustics and Ultrasonics 37
  • Atmospheric Science 287
  • Safety, Risk, Reliability and Quality 120
Replace Pei‐feng Hsu with:
Pei‐feng Hsu United States
Galen B. King United States
Andreas Ehn Sweden
Scott A. Skeen United States
Cameron J. Dasch United States
Benoît Fond Germany
Jiajian Zhu China
Philippe Scouflaire France
James D. Felske United States
Sang Hee Won United States
M.B. Long relative to Pei‐feng Hsu United States Pei‐feng Hsu's profile →
Citations per field
00.5×2×4×5.5×
Pei‐feng Hsu · 1×
Citations per year

Countries citing papers authored by M.B. Long

Since Specialization
Citations

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

Fields of papers citing papers by M.B. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984350
2 1998135
3 200496
4 199889
5 198479
6 198669
7 198169
8 199267
9 199663
10 199458
11 200058
12 200855
13 199749
14 199146
15 197643
16 198541
17 200641
18 200831
19 200931
20 199630

About M.B. Long

M.B. Long is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Atmospheric Science and Global and Planetary Change, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Combustion and flame dynamics (28 papers), Advanced Combustion Engine Technologies (20 papers), Fluid Dynamics and Turbulent Flows (8 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Radiative Heat Transfer Studies (7 papers), Atmospheric chemistry and aerosols (6 papers), Topology Optimization in Engineering (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (821 citations), Computational Mechanics (1.1k citations), Acoustics and Ultrasonics (37 citations), Atmospheric Science (287 citations) and Safety, Risk, Reliability and Quality (120 citations). M.B. Long has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include Mitchell D. Smooke, Richard K. Chang, Huey-Ming Tzeng, Kevin F. Wall, Michael A. Tanoff, Robert W. Bilger, Jonathan H. Frank, Robert J. Hall, Meredith B. Colket and Dominique C. Fourguette. Their work appears in journals such as Proceedings of the Combustion Institute, Combustion Science and Technology, Optics Letters, Combustion and Flame and International Journal of Heat and Mass Transfer.

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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