Peter Anderberg

80 papers receiving 1.5k citations

Peter Anderberg's Hit Papers

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions 2023 · 89 citations
890+2+4Years since publication255075100

Peers

Peter Anderberg
Comparison fields: 5 of 141
  • Health Informatics 46
  • Neuropsychology and Physiological Psychology 28
  • Demography 219
  • Orthopedics and Sports Medicine 138
  • Health Information Management 65
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Anabela G. Silva Portugal
Nancy Gell United States
Alejandro Rodríguez‐Molinero Spain
Nelson Pacheco Rocha Portugal
Jorge G. Ruiz United States
Blaine Reeder United States
Roberta Bevilacqua Italy
Mohamed-Amine Choukou Canada
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Citations per year

Countries citing papers authored by Peter Anderberg

Since Specialization
Citations

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

Fields of papers citing papers by Peter Anderberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001214
2
Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis
Hit paper breakdown →
2019111
3
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Hit paper breakdown →
202389
4 200177
5 201475
6 201755
7 201947
8 202040
9 201934
10 202034
11 202333
12 201933
13 201928
14 202325
15 201625
16 201725
17 202025
18 202323
19 201822
20 202022

About Peter Anderberg

Peter Anderberg is a scholar working on Demography, Psychiatry and Mental health, General Health Professions, Artificial Intelligence and Health Information Management, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Technology Use by Older Adults (18 papers), Dementia and Cognitive Impairment Research (13 papers), Machine Learning in Healthcare (7 papers), Mobile Health and mHealth Applications (6 papers), Artificial Intelligence in Healthcare (5 papers), Healthcare innovation and challenges (4 papers), Health Literacy and Information Accessibility (4 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Health Informatics (46 citations), Neuropsychology and Physiological Psychology (28 citations), Demography (219 citations), Orthopedics and Sports Medicine (138 citations) and Health Information Management (65 citations). Peter Anderberg has collaborated with scholars based in Sweden, United Kingdom and Iceland. Frequent co-authors include Johan Berglund, Ana Luiza Dallora, Karl Eriksson, Torsten Wredmark, Per Hamberg, Emília Mendes, Ashir Javeed, Ola Kvist, Lisa Skär and Liaqat Ali. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research, Disability & Society, PLoS ONE and Scandinavian Journal of Public Health.

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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