Holger Storf
- Genetics
- Molecular Biology
- Health Information Management top 2%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Jannik SchaafMartin SedlmayrThomas WagnerMartin BeckerMartin RiedlJan ZeidlerJohann‐Matthias Graf von der SchulenburgHans‐Ulrich Prokosch
- Topics
- Genomics and Rare Diseases (21 papers)Biomedical Text Mining and Ontologies (21 papers)Electronic Health Records Systems (7 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationJournal of Alzheimer s Disease
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Holger Storf
54 papers receiving 429 citations
Peers
Comparison fields: 5 of 94
- Genetics 120
- Molecular Biology 98
- Health Information Management 77
- Computer Vision and Pattern Recognition 67
- Artificial Intelligence 66
Countries citing papers authored by Holger Storf
This map shows the geographic impact of Holger Storf'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 Holger Storf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Storf more than expected).
Fields of papers citing papers by Holger Storf
This network shows the impact of papers produced by Holger Storf. 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 Holger Storf. The network helps show where Holger Storf may publish in the future.
Co-authorship network of co-authors of Holger Storf
This figure shows the co-authorship network connecting the top 25 collaborators of Holger Storf. A scholar is included among the top collaborators of Holger Storf 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 Holger Storf. Holger Storf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 32 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | Experiences from the National Demonstrator Study within the German Medical Informatics Initiative. | 0 |
| 16 | Mapping of Health Care Providers for People with Rare Diseases - From Vision to Implementation. | 1 |
| 17 | 9 | |
| 18 | Register für seltene Erkrankungen: OSSE – ein Open-Source-Framework für die technische Umsetzung | 1 |
| 19 | 29 | |
| 20 | A Decade of Steering Entropy - Use, Impact, and Further Application | 1 |
About Holger Storf
Holger Storf is a scholar working on Health Informatics, Health Information Management and Genetics, having authored 64 papers that have together received 439 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (21 papers), Biomedical Text Mining and Ontologies (21 papers) and Electronic Health Records Systems (7 papers). The work is most often cited by research in Health Informatics (31 citations), Health Information Management (77 citations) and Genetics (120 citations). Holger Storf has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Jannik Schaaf, Martin Sedlmayr, Thomas Wagner, Martin Becker, Martin Riedl, Jan Zeidler, Johann‐Matthias Graf von der Schulenburg, Hans‐Ulrich Prokosch, Lutz Frölich and Katrin Jekel. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Journal of Alzheimer s Disease.
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.