Paul Hager

770 total citations · 1 hit paper
9 papers, 345 citations indexed

About

Paul Hager is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Paul Hager has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Paul Hager's work include Alzheimer's disease research and treatments (3 papers), Machine Learning in Healthcare (2 papers) and Functional Brain Connectivity Studies (2 papers). Paul Hager is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Machine Learning in Healthcare (2 papers) and Functional Brain Connectivity Studies (2 papers). Paul Hager collaborates with scholars based in Germany, United Kingdom and Sweden. Paul Hager's co-authors include Daniel Rueckert, Robbie Holland, Marcus R. Makowski, Georgios Kaissis, Jakob Vielhauer, Friederike Jungmann, Rickmer Braren, Michael Ewers, Anna Dewenter and Davina Biel and has published in prestigious journals such as Nature Medicine, Nature Communications and Brain.

In The Last Decade

Paul Hager

8 papers receiving 341 citations

Hit Papers

Evaluation and mitigation of the limitations of large lan... 2024 2026 2025 2024 50 100 150 200

Peers

Paul Hager
Comparison fields: 5 of 90
  • Artificial Intelligence 110
  • Health Informatics 98
  • Radiology, Nuclear Medicine and Imaging 85
  • Physiology 68
  • Psychiatry and Mental health 46
Replace Michael Kawczynski with:
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Michael Kawczynski United States View profile →
Citations per field, relative to Paul Hager
Paul Hager · 1×
Citations per year, relative to Paul Hager
Paul Hager · 1×

Countries citing papers authored by Paul Hager

Since Specialization
Citations

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

Fields of papers citing papers by Paul Hager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Hager

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 1
3 1
4
Evaluation and mitigation of the limitations of large language models in clinical decision-making breakdown →
200
5 27
6 23
7 35
8 42
9 16

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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