Per Tunestål

7.7k citations
235 papers · 6.3k indexed · h-index 42

Impact in

Papers in

Per Tunestål

232 papers receiving 5.9k citations

Peers

Per Tunestål
Comparison fields: 5 of 75
  • Fluid Flow and Transfer Processes 5.8k
  • Automotive Engineering 2.9k
  • Computational Mechanics 3.7k
  • Biomedical Engineering 2.0k
  • Aerospace Engineering 910
Replace Jeffrey Naber with:
Jeffrey Naber United States
Jesús Benajes Spain
Bianca Maria Vaglieco Italy
D. T. Hountalas Greece
Richard Stone United Kingdom
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J.M. Desantes Spain
John E. Dec United States
Ingemar Denbratt Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Per Tunestål

Since Specialization
Citations

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

Fields of papers citing papers by Per Tunestål

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20234
4 202137
5 20214
6 20205
7 20193
8 201911
9 201937
10 201923
11 20189
12 201855
13 201891
14 201716
15 20145
16 20132
17 200927
18 200636
19 200411
20 2002126

About Per Tunestål

Per Tunestål is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Control and Systems Engineering and Biomedical Engineering, having authored 235 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (208 papers), Combustion and flame dynamics (127 papers), Vehicle emissions and performance (93 papers), Biodiesel Production and Applications (60 papers), Catalytic Processes in Materials Science (28 papers), Real-time simulation and control systems (24 papers), Advanced Control Systems Optimization (15 papers) and Rocket and propulsion systems research (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (5.8k citations), Automotive Engineering (2.9k citations), Computational Mechanics (3.7k citations), Biomedical Engineering (2.0k citations) and Aerospace Engineering (910 citations). Per Tunestål has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Bengt Johansson, Vittorio Manente, Jan-Ola Olsson, Rolf Johansson, William Cannella, Ashish Shah, Martin Tunér, Göran Haraldsson, Petter Strandh and Jari Hyvönen. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, Applied Thermal Engineering, SAE international journal of fuels and lubricants and Applied Energy.

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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