Karin Munch

553 citations
23 papers · 439 · h-index 13

Impact in

Papers in

Karin Munch

23 papers receiving 430 citations

Peers

Karin Munch
Comparison fields: 5 of 29
  • Fluid Flow and Transfer Processes 264
  • Automotive Engineering 97
  • Biomedical Engineering 220
  • Mechanical Engineering 176
  • Computational Mechanics 75
Replace María D. Cárdenas with:
María D. Cárdenas Spain
M. Tazerout France
Roberta De Robbio Italy
Germán Amador Chile
Jian Zhuang China
Elana Chapman United States
K. V. Shivaprasad United Kingdom
Christos Katsanos Greece
Andy Thawko United States
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Citations per field
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Citations per year

Countries citing papers authored by Karin Munch

Since Specialization
Citations

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

Fields of papers citing papers by Karin Munch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Karin Munch, 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 Karin Munch Line = papers co-authored together Karin Munch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201857
3 201551
4 202137
5 201932
6 201222
7 201321
8 202117
9 201616
10 201715
11 201912
12 201812
13 202012
14 202111
15 202011
16 20199
17 20169
18 20207
19 20176
20
Nonazeotropic mixtures as working fluids in large heat pumps - Heat transfer in a falling film evaporator and system simulations
19865

About Karin Munch

Karin Munch is a scholar working on Mechanical Engineering, Fluid Flow and Transfer Processes, Biomedical Engineering, Automotive Engineering and Statistical and Nonlinear Physics, having authored 23 papers that have together received 439 indexed citations. Recurring topics across this work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (12 papers), Advanced Thermodynamic Systems and Engines (11 papers), Advanced Combustion Engine Technologies (11 papers), Biodiesel Production and Applications (9 papers), Refrigeration and Air Conditioning Technologies (9 papers), Vehicle emissions and performance (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Combustion and flame dynamics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (264 citations), Automotive Engineering (97 citations), Biomedical Engineering (220 citations), Mechanical Engineering (176 citations) and Computational Mechanics (75 citations). Karin Munch has collaborated with scholars based in Sweden and Russia. Frequent co-authors include Ingemar Denbratt, J.J.M. Rijpkema, Mats R. Andersson, Sebastian Verhelst, Vikram Singh and Sven Andersson. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, Applied Thermal Engineering, Energy and Renewable 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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