Fried-Michael Dahlweid

34 total papers · 719 total citations
17 papers, 394 citations indexed

About

Fried-Michael Dahlweid is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Fried-Michael Dahlweid has authored 17 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Health Information Management. Recurrent topics in Fried-Michael Dahlweid's work include Biomedical Text Mining and Ontologies (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Machine Learning in Healthcare (4 papers). Fried-Michael Dahlweid is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Machine Learning in Healthcare (4 papers). Fried-Michael Dahlweid collaborates with scholars based in Switzerland, Germany and China. Fried-Michael Dahlweid's co-authors include Roland Wiest, Mauricio Reyes, Raphael Meier, Hendrik von Tengg‐Kobligk, Ronald M. Summers, Carlos A. Silva, Sérgio Pereira, Alexander Leichtle, Sheng Guo and Matthew R. Scott and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Biomedical Informatics and Biomedical Signal Processing and Control.

In The Last Decade

Fried-Michael Dahlweid

11 papers receiving 383 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fried-Michael Dahlweid 166 132 124 59 41 17 394
Andrew Colucci 224 1.3× 84 0.6× 71 0.6× 70 1.2× 34 0.8× 8 375
Alanna Vial 237 1.4× 117 0.9× 83 0.7× 86 1.5× 44 1.1× 8 434
Kevin Faust 163 1.0× 170 1.3× 146 1.2× 35 0.6× 49 1.2× 12 373
Varun Buch 149 0.9× 129 1.0× 140 1.1× 30 0.5× 30 0.7× 11 416
Jayne Seekins 132 0.8× 97 0.7× 80 0.6× 41 0.7× 19 0.5× 15 344
Andrea Lum 180 1.1× 62 0.5× 108 0.9× 89 1.5× 20 0.5× 13 352
Soroosh Tayebi Arasteh 201 1.2× 175 1.3× 82 0.7× 32 0.5× 78 1.9× 25 417
Víctor M. Campello 227 1.4× 73 0.6× 58 0.5× 103 1.7× 35 0.9× 24 430
Birgit Ertl‐Wagner 151 0.9× 62 0.5× 106 0.9× 42 0.7× 10 0.2× 31 344
Jiebin Chen 67 0.4× 83 0.6× 103 0.8× 44 0.7× 14 0.3× 19 404

Countries citing papers authored by Fried-Michael Dahlweid

Since Specialization
Citations

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

Fields of papers citing papers by Fried-Michael Dahlweid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fried-Michael Dahlweid. 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 Fried-Michael Dahlweid. The network helps show where Fried-Michael Dahlweid may publish in the future.

Co-authorship network of co-authors of Fried-Michael Dahlweid

This figure shows the co-authorship network connecting the top 25 collaborators of Fried-Michael Dahlweid. A scholar is included among the top collaborators of Fried-Michael Dahlweid 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 Fried-Michael Dahlweid. Fried-Michael Dahlweid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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