Peter Åberg

20 papers receiving 529 citations

Peers

Peter Åberg
Comparison fields: 5 of 85
  • Biophysics 66
  • Pharmaceutical Science 47
  • Biomedical Engineering 288
  • Physiology 129
  • Electrical and Electronic Engineering 262
Replace Dimitris V. Manatakis with:
Dimitris V. Manatakis United States
Paolo Rossetti Spain
Michael Schoemaker Germany
M. Uehara Japan
Shan Huang China
Moon Moon South Korea
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Antonio Cabal United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Åberg

Since Specialization
Citations

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

Fields of papers citing papers by Peter Åberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004217
2 201162
3 200558
4 201057
5 200347
6 200334
7 200316
8 200415
9 200213
10 200110
11 20249
12 20135
13 20183
14
Bioimpedance as a potential diagnostic decision tool for skin neoplasms
20023
15 20103
16 20223
17
Multivariate regression model of normal and chemically irritated skin shows predictive ability
20013
18
Capturing stakeholder values
20092
19
Collaboration processes A State of the Art
20101
20
Capturing stakeholder values:Stakeholder values, stakeholder preferences and requirements for the life cycle design process
20091

About Peter Åberg

Peter Åberg is a scholar working on Pharmaceutical Science, Biophysics, Analytical Chemistry, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 564 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Advancements in Transdermal Drug Delivery (6 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Electrical and Bioimpedance Tomography (3 papers), ECG Monitoring and Analysis (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Biophysics (66 citations), Pharmaceutical Science (47 citations), Biomedical Engineering (288 citations), Physiology (129 citations) and Electrical and Electronic Engineering (262 citations). Peter Åberg has collaborated with scholars based in Sweden, Singapore and Germany. Frequent co-authors include Stig Ollmar, Ingrid Nicander, Paul Geladi, Johan Hansson, Ulrik Birgersson, Lars‐Åke Brodin, Britta Lind, Peter Mohr, Peter Elsner and Erik Birgersson. Their work appears in journals such as Skin Research and Technology, EP Europace, IEEE Transactions on Biomedical Engineering, Physiological Measurement and Experimental Dermatology.

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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