Peter Åberg

845 citations
26 papers · 628 · h-index 10

Impact in

Papers in

Peter Åberg

21 papers receiving 588 citations

Peers

Peter Åberg
Comparison fields: 5 of 84
  • Biophysics 68
  • Pharmaceutical Science 48
  • Biomedical Engineering 272
  • Physiology 135
  • Electrical and Electronic Engineering 266
Replace Monika Reddy with:
Monika Reddy United Kingdom
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Chenshuang Zhang China
J. Place France
Paolo Rossetti Spain
Michael Schoemaker Germany
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Citations per field
00.5×4.6×
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004243
2 200568
3 201167
4 201065
5 200348
6 200337
7 200317
8 200417
9 200214
10 200110
11 20249
12 20135
13 20104
14 20184
15
Bioimpedance as a potential diagnostic decision tool for skin neoplasms
20024
16 20223
17 20063
18
Multivariate regression model of normal and chemically irritated skin shows predictive ability
20013
19
Collaboration processes A State of the Art
20102
20
Capturing stakeholder values
20092

About Peter Åberg

Peter Åberg is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Pharmaceutical Science, Physiology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 628 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (5 papers), Electrical and Bioimpedance Tomography (5 papers), Body Composition Measurement Techniques (4 papers), Advancements in Transdermal Drug Delivery (4 papers), Spectroscopy and Chemometric Analyses (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Agricultural Engineering and Mechanization (1 paper). The work is most often cited by research in Biophysics (68 citations), Pharmaceutical Science (48 citations), Biomedical Engineering (272 citations), Physiology (135 citations) and Electrical and Electronic Engineering (266 citations). Peter Åberg has collaborated with scholars based in Sweden, Germany and Singapore. Frequent co-authors include Stig Ollmar, Ingrid Nicander, Paul Geladi, Ulf Holmgren, Johan Hansson, Ulrik Birgersson, Erik Birgersson, Peter Mohr, Peter Elsner and Lars‐Åke Brodin. Their work appears in journals such as Skin Research and Technology, EP Europace, IEEE Transactions on Biomedical Engineering, Experimental Dermatology and Physiological Measurement.

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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