Brian Carnes

606 citations
27 papers · 448 · h-index 10

Impact in

Papers in

Brian Carnes

22 papers receiving 438 citations

Peers

Brian Carnes
Comparison fields: 5 of 49
  • Renewable Energy, Sustainability and the Environment 209
  • Computational Mechanics 144
  • Electrical and Electronic Engineering 262
  • Numerical Analysis 20
  • Applied Mathematics 31
Replace Mohammad Mohammadiun with:
Mohammad Mohammadiun Iran
Hui-Bao Luan China
L. T. Yeh United States
Jacek Leszczyński Poland
N. Gnanasekaran India
Marek Rebow Poland
Won Soon Chang United States
Farzad Mohebbi New Zealand
Sagar Kapadia United States
Brian Carnes relative to Mohammad Mohammadiun Iran Mohammad Mohammadiun's profile →
Citations per field
00.5×6.7×
Mohammad Mohammadiun · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 200672
3 200564
4 200550
5 201336
6 200633
7 202019
8 200316
9 202215
10 201212
11 20075
12 20165
13 20194
14 20153
15 20073
16 20193
17 20193
18 20163
19 20082
20 20111

About Brian Carnes

Brian Carnes is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Applied Mathematics, having authored 27 papers that have together received 448 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (11 papers), Electrocatalysts for Energy Conversion (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Membrane-based Ion Separation Techniques (6 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 (209 citations), Computational Mechanics (144 citations), Electrical and Electronic Engineering (262 citations), Numerical Analysis (20 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 Chao‐Yang Wang. Their work appears in journals such as International Journal for Numerical Methods in Engineering, Electrochimica Acta, Journal of Power Sources, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

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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