Peter Åberg

835 total citations
24 papers, 564 citations indexed

About

Peter Åberg is a scholar working on Biomedical Engineering, Pharmaceutical Science and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Åberg has authored 24 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Pharmaceutical Science and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Åberg's work include Microfluidic and Bio-sensing Technologies (7 papers), Advancements in Transdermal Drug Delivery (6 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Peter Åberg is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Advancements in Transdermal Drug Delivery (6 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Peter Åberg collaborates with scholars based in Sweden, Singapore and Germany. Peter Åberg's co-authors include Stig Ollmar, Ingrid Nicander, Paul Geladi, Johan Hansson, Ulrik Birgersson, Lars‐Åke Brodin, Peter Mohr, Britta Lind, Peter Elsner and Erik Birgersson and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement and Experimental Dermatology.

In The Last Decade

Peter Åberg

20 papers receiving 529 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Åberg Sweden	10	288	262	129	90	66	24	564
Shan Huang China	13	116 0.4×	26 0.1×	53 0.4×	23 0.3×	56 0.8×	37	463
Nozomi Haga Japan	13	260 0.9×	169 0.6×	25 0.2×	77 0.9×	9 0.1×	54	648
Michael Schoemaker Germany	13	140 0.5×	95 0.4×	28 0.2×	4 0.0×	50 0.8×	16	643
Y. Konishi Japan	9	151 0.5×	153 0.6×	91 0.7×	23 0.3×	9 0.1×	14	326
M. Uehara Japan	10	42 0.1×	109 0.4×	72 0.6×	6 0.1×	27 0.4×	26	598
Dimitris V. Manatakis United States	11	317 1.1×	13 0.0×	40 0.3×	108 1.2×	14 0.2×	18	697
Takashi Nagaoka Japan	14	146 0.5×	25 0.1×	28 0.2×	95 1.1×	30 0.5×	45	464
Aleksandar Peulić Serbia	9	53 0.2×	20 0.1×	60 0.5×	10 0.1×	44 0.7×	40	348
F. Dewarrat Switzerland	8	285 1.0×	162 0.6×	20 0.2×	3 0.0×	185 2.8×	13	378
Hyeon Ki Jeong United States	10	152 0.5×	55 0.2×	64 0.5×	40 0.4×	3 0.0×	21	331

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-authorship network of co-authors of Peter Åberg

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Åberg. A scholar is included among the top collaborators of Peter Åberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Åberg. Peter Åberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Svennberg, Emma, et al.. (2025). External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study. EP Europace. 27(4).

Svennberg, Emma, et al.. (2024). Validation of a novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics: the SMARTBEATS study. EP Europace. 26(4). 9 indexed citations

Svennberg, Emma, et al.. (2022). Validation of a novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics. EP Europace. 24(Supplement_1). 3 indexed citations

Purhagen, Jeanette, et al.. (2018). PaddyCheck—An Instrument for Rice Quality Determination. Instruments. 2(3). 11–11. 3 indexed citations

Ollmar, Stig, Ingrid Nicander, Peter Åberg, & Jan Bolinder. (2013). Facts and artefacts regarding correlation between skin electrical impedance spectroscopy (EIS) and blood glucose. Journal of Physics Conference Series. 434. 12071–12071. 5 indexed citations

Åberg, Peter, Ulrik Birgersson, Peter Elsner, Peter Mohr, & Stig Ollmar. (2011). Electrical impedance spectroscopy and the diagnostic accuracy for malignant melanoma. Experimental Dermatology. 20(8). 648–652. 62 indexed citations

Åberg, Peter, et al.. (2010). Collaboration processes A State of the Art. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations

Birgersson, Ulrik, Erik Birgersson, Peter Åberg, Ingrid Nicander, & Stig Ollmar. (2010). Non-invasive bioimpedance of intact skin: mathematical modeling and experiments. Physiological Measurement. 32(1). 1–18. 57 indexed citations

Holopainen, Riikka, et al.. (2009). Capturing stakeholder values:Stakeholder values, stakeholder preferences and requirements for the life cycle design process. 104(922). 455–455. 1 indexed citations

10.

Holopainen, Riikka, et al.. (2009). Capturing stakeholder values. 2 indexed citations

11.

Åberg, Peter, et al.. (2005). Non‐invasive and microinvasive electrical impedance spectra of skin cancer – a comparison between two techniques. Skin Research and Technology. 11(4). 281–286. 58 indexed citations

12.

Åberg, Peter, Ingrid Nicander, Paul Geladi, & Stig Ollmar. (2005). Multivariate regression model of impedance of normal and chemically irritated skin shows predictive ability. 3. 2208–2211.

13.

Åberg, Peter, et al.. (2004). Skin Cancer Identification Using Multifrequency Electrical Impedance—A Potential Screening Tool. IEEE Transactions on Biomedical Engineering. 51(12). 2097–2102. 217 indexed citations

14.

Åberg, Peter, et al.. (2003). Assessment of skin lesions and skin cancer using simple electrical impedance indices. Skin Research and Technology. 9(3). 257–261. 34 indexed citations

15.

Åberg, Peter, et al.. (2003). Effect of Angular Error on Tissue Doppler Velocities and Strain. Echocardiography. 20(7). 581–587. 47 indexed citations

16.

Nicander, Ingrid, Peter Åberg, & Stig Ollmar. (2003). The use of different concentrations of betaine as a reducing irritation agent in soaps monitored visually and non‐invasively. Skin Research and Technology. 9(1). 43–49. 16 indexed citations

17.

Åberg, Peter, Paul Geladi, Ingrid Nicander, & Stig Ollmar. (2002). Variation of skin properties within human forearms demonstrated by non‐invasive detection and multi‐way analysis. Skin Research and Technology. 8(3). 194–201. 13 indexed citations

18.

Åberg, Peter, et al.. (2002). Bioimpedance as a potential diagnostic decision tool for skin neoplasms. 3 indexed citations

19.

Geladi, Paul & Peter Åberg. (2001). Three-Way Modelling of a Batch Organic Synthesis Process Monitored by near Infrared Spectroscopy. Journal of Near Infrared Spectroscopy. 9(1). 1–9. 10 indexed citations

20.

Neches, Robert, Peter Åberg, David Benjamin, et al.. (1993). The Integrated User-Support Environment (IN-USE) Group at USC/ISI. 53–54. 1 indexed citations

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.

Explore authors with similar magnitude of impact