Brian Carnes

600 citations
25 papers · 423 indexed · h-index 10

Impact in

Papers in

Brian Carnes

21 papers receiving 411 citations

Peers

Brian Carnes
Comparison fields: 5 of 48
  • Renewable Energy, Sustainability and the Environment 192
  • Computational Mechanics 141
  • Electrical and Electronic Engineering 241
  • Numerical Analysis 19
  • Applied Mathematics 31
Replace Jaakko Larjola with:
Jaakko Larjola Finland
Victor A. Kovtunenko Russia
Mohammad Mohammadiun Iran
Jacek Leszczyński Poland
Farzad Mohebbi New Zealand
David L. Daggett United States
Rory A. Roberts United States
Mohammed Alaoui Morocco
H. Rieger Germany
Brian Carnes relative to Jaakko Larjola Finland Jaakko Larjola's profile →
Citations per field
00.5×1.5×1.9×
Jaakko Larjola · 1×
Citations per year

Countries citing papers authored by Brian Carnes

Since Specialization
Citations

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

Fields of papers citing papers by Brian Carnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 200667
3 200558
4 200545
5 201335
6 200632
7 202019
8 200316
9 202215
10 201212
11 20165
12 20075
13 20194
14 20193
15 20163
16 20193
17 20153
18 20072
19 20111
20 20191

About Brian Carnes

Brian Carnes is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 423 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (9 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Electrocatalysts for Energy Conversion (6 papers), Membrane-based Ion Separation Techniques (5 papers), Gas Dynamics and Kinetic Theory (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Nuclear reactor physics and engineering (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (192 citations), Computational Mechanics (141 citations), Electrical and Electronic Engineering (241 citations), Numerical Analysis (19 citations) and Applied Mathematics (31 citations). Brian Carnes has collaborated with scholars based in United States and Canada. Frequent co-authors include Ned Djilali, Guglielmo Scovazzi, Xianyi Zeng, Simone Rossi, Marc Secanell, Afzal Suleman, Henning Struchtrup, Graham F. Carey, V. Gregory Weirs and Dusan Spernjak. Their work appears in journals such as Electrochimica Acta, International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering, Journal of Power Sources and Journal of The Electrochemical Society.

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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