Peter Anderberg

84 papers receiving 1.7k citations

Peter Anderberg's Hit Papers

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions 2023 · 105 citations
1050+2+4Years since publication255075100

Peers

Peter Anderberg
Comparison fields: 5 of 145
  • Health Informatics 54
  • Neuropsychology and Physiological Psychology 30
  • Demography 242
  • Orthopedics and Sports Medicine 149
  • Health Information Management 76
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Patricia Kay Patterson United States
Yoshimi Fukuoka United States
Syed Ghulam Sarwar Shah United Kingdom
Cécile R. L. Boot Netherlands
Blaine Reeder United States
Christine Brown Wilson United Kingdom
Romeu Mendes Portugal
Dahlia Kairy Canada
Stoyan R. Stoyanov Australia
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Citations per field
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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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001235
2
Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis
Hit paper breakdown →
2019119
3
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Hit paper breakdown →
2023105
4 201482
5 200181
6 201759
7 201951
8 202046
9 202346
10 202039
11 201936
12 201936
13 202331
14 201930
15 202028
16 201628
17 201726
18 202026
19 202025
20 202325

About Peter Anderberg

Peter Anderberg is a scholar working on Demography, Psychiatry and Mental health, Health Information Management, General Health Professions and Health, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Technology Use by Older Adults (19 papers), Dementia and Cognitive Impairment Research (15 papers), Machine Learning in Healthcare (8 papers), Artificial Intelligence in Healthcare (6 papers), Mobile Health and mHealth Applications (6 papers), Innovative Approaches in Technology and Social Development (4 papers), Healthcare innovation and challenges (4 papers) and Health Literacy and Information Accessibility (4 papers). The work is most often cited by research in Health Informatics (54 citations), Neuropsychology and Physiological Psychology (30 citations), Demography (242 citations), Orthopedics and Sports Medicine (149 citations) and Health Information Management (76 citations). Peter Anderberg has collaborated with scholars based in Sweden, United Kingdom and Spain. Frequent co-authors include Johan Sanmartin Berglund, Ana Luiza Dallora, Per Hamberg, Karl Eriksson, Torsten Wredmark, 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, PLoS ONE, Disability & Society, Journal of Medical Internet Research and Digital 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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