Peter Anderberg

83 papers receiving 1.4k 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 publication4080120

Peers

Peter Anderberg
Comparison fields: 5 of 128
  • Health Informatics 84
  • Demography 306
  • Health Information Management 129
  • Psychiatry and Mental health 229
  • Archeology 111
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Nicole Ruggiano United States
Charlene H. Chu Canada
Karin Wolf‐Ostermann Germany
Jacki Liddle Australia
Rupa S. Valdez United States
Anne Moorhead United Kingdom
Yunan Chen United States
Lisa Skär Sweden
Laura Vardoulakis United States
Dahlia Kairy Canada
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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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis
Hit paper breakdown →
2019120
2
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Hit paper breakdown →
2023105
3 201481
4 201762
5 201951
6 202047
7 202347
8 202041
9 201939
10 201936
11 202332
12 201930
13 201629
14 202029
15 202028
16 201726
17 202025
18 202025
19 202325
20 202223

About Peter Anderberg

Peter Anderberg is a scholar working on Demography, Health Information Management, Psychiatry and Mental health, Occupational Therapy and General Health Professions, having authored 94 papers that have together received 1.5k indexed citations. Recurring topics across this work include Technology Use by Older Adults (21 papers), Dementia and Cognitive Impairment Research (16 papers), Artificial Intelligence in Healthcare (10 papers), Disability Rights and Representation (6 papers), Assistive Technology in Communication and Mobility (5 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers), Mobile Health and mHealth Applications (4 papers) and Voice and Speech Disorders (4 papers). The work is most often cited by research in Health Informatics (84 citations), Demography (306 citations), Health Information Management (129 citations), Psychiatry and Mental health (229 citations) and Archeology (111 citations). Peter Anderberg has collaborated with scholars based in Sweden, United Kingdom and Spain. Frequent co-authors include Johan Sanmartin Berglund, Ana Luiza Dallora, Emília Mendes, Ashir Javeed, Ola Kvist, Lisa Skär, Liaqat Ali, James Gordon Rice, Rannveig Traustadóttir and Sölve Elmståhl. 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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