Peter Ström
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Prostate Cancer Diagnosis and Treatment 7
-
- Hearing, Cochlea, Tinnitus, Genetics 2
- Co-authors
- Martin Eklund (9 shared papers)Henrik Grönberg (5 shared papers)Tobias Nordström (5 shared papers)Lars Egevad (5 shared papers)Markus Aly (3 shared papers)Elisabete Weiderpass (6 shared papers)Sven Sandin (5 shared papers)Erik Hedman‐Lagerlöf (1 shared paper)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (3 papers)Obesity (2 papers)European Urology (2 papers)Noise and Health (2 papers)BMJ (2 papers)
- Partner nations
- SwedenFinlandUnited States
In The Last Decade
Peter Ström
28 papers receiving 1.3k citations
Peter Ström's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 88
- Artificial Intelligence 380
- Pulmonary and Respiratory Medicine 283
- Experimental and Cognitive Psychology 106
- Epidemiology 127
Countries citing papers authored by Peter Ström
This map shows the geographic impact of Peter Ström'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 Ström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ström more than expected).
Fields of papers citing papers by Peter Ström
This network shows the impact of papers produced by Peter Ström. 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 Ström. The network helps show where Peter Ström may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ström, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study Hit paper breakdown → | 2020 | 474 |
| 2 | 2018 | 84 | |
| 3 | 2016 | 83 | |
| 4 | 2018 | 77 | |
| 5 | 2013 | 74 | |
| 6 | 2015 | 55 | |
| 7 | 2016 | 47 | |
| 8 | 2017 | 47 | |
| 9 | 2015 | 42 | |
| 10 | 2020 | 39 | |
| 11 | 2017 | 28 | |
| 12 | 2018 | 28 | |
| 13 | 2015 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2016 | 22 | |
| 16 | 2022 | 22 | |
| 17 | 2017 | 20 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2016 | 15 |
About Peter Ström
Peter Ström is a scholar working on Pulmonary and Respiratory Medicine, Sensory Systems, Artificial Intelligence, Experimental and Cognitive Psychology and Epidemiology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), AI in cancer detection (5 papers), Cervical Cancer and HPV Research (2 papers), Influenza Virus Research Studies (2 papers), Obesity, Physical Activity, Diet (2 papers), Nutritional Studies and Diet (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Sleep and related disorders (1 paper). The work is most often cited by research in Health Informatics (88 citations), Artificial Intelligence (380 citations), Pulmonary and Respiratory Medicine (283 citations), Experimental and Cognitive Psychology (106 citations) and Epidemiology (127 citations). Peter Ström has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include Martin Eklund, Henrik Grönberg, Tobias Nordström, Lars Egevad, Markus Aly, Elisabete Weiderpass, Sven Sandin, Erik Hedman‐Lagerlöf, Hans‐Olov Adami and Ewa Mörtberg. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Obesity, European Urology, Noise and Health and BMJ.
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.