Roland Roller

555 citations
41 papers · 200 · h-index 9

Impact in

Papers in

    • Topic Modeling 20
    • Natural Language Processing Techniques 16
    • Machine Learning in Healthcare 4
    • Semantic Web and Ontologies 3
    • Biomedical Text Mining and Ontologies 20

Roland Roller

33 papers receiving 189 citations

Peers

Roland Roller
Comparison fields: 5 of 54
  • Health Informatics 33
  • Transplantation 18
  • Health Information Management 17
  • Artificial Intelligence 105
  • Family Practice 7
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Citations per year

Countries citing papers authored by Roland Roller

Since Specialization
Citations

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

Fields of papers citing papers by Roland Roller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roland Roller, 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 Roland Roller Line = papers co-authored together Roland Roller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202025
2 201720
3
Negation Detection in Clinical Reports Written in German.
201619
4 202215
5 202214
6 202311
7
A fine-grained corpus annotation schema of German nephrology records.
201610
8 20179
9 20238
10 20237
11 20157
12 20234
13 20244
14 20234
15 20204
16 20154
17 20144
18
Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017.
20173
19
EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings.
20203
20 20153

About Roland Roller

Roland Roller is a scholar working on Artificial Intelligence, Molecular Biology, Public Health, Environmental and Occupational Health, General Health Professions and Health Informatics, having authored 41 papers that have together received 200 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Topic Modeling (20 papers), Natural Language Processing Techniques (16 papers), Organ Donation and Transplantation (4 papers), Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (33 citations), Transplantation (18 citations), Health Information Management (17 citations), Artificial Intelligence (105 citations) and Family Practice (7 citations). Roland Roller has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Klemens Budde, Danilo Schmidt, Mark Stevenson, Aljoscha Burchardt, Manuel Mayrdorfer, Wiebke Duettmann, Peter Dabrock, Hans Uszkoreit, Fabian Halleck and Bilgin Osmanodja. Their work appears in journals such as BMJ Open, Transplant International, IEEE Access, Language Resources and Evaluation 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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