Roland Roller

580 citations
55 papers · 286 · h-index 10

Impact in

Papers in

    • Topic Modeling 25
    • Natural Language Processing Techniques 20
    • Machine Learning in Healthcare 6
    • Speech and dialogue systems 5
    • Semantic Web and Ontologies 3
    • Biomedical Text Mining and Ontologies 22

Roland Roller

47 papers receiving 271 citations

Peers

Roland Roller
Comparison fields: 5 of 50
  • Health Informatics 32
  • Transplantation 11
  • Health Information Management 20
  • Artificial Intelligence 142
  • Family Practice 3
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Citations per field
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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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202028
2
Negation Detection in Clinical Reports Written in German.
201622
3 201720
4 202218
5 201416
6 202215
7
A fine-grained corpus annotation schema of German nephrology records.
201613
8 201713
9 202311
10 20159
11 20218
12 20238
13 20238
14 20217
15 20246
16 20236
17 20145
18 20234
19
Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports.
20214
20
Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017.
20174

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 Information Management, having authored 55 papers that have together received 286 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Biomedical Text Mining and Ontologies (22 papers), Natural Language Processing Techniques (20 papers), Machine Learning in Healthcare (6 papers), Speech and dialogue systems (5 papers), Data Quality and Management (3 papers), Social Policies and Healthcare Reform (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (32 citations), Transplantation (11 citations), Health Information Management (20 citations), Artificial Intelligence (142 citations) and Family Practice (3 citations). Roland Roller has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Mark Stevenson, Klemens Budde, Danilo Schmidt, Aljoscha Burchardt, Hans Uszkoreit, Wiebke Duettmann, Feiyu Xu, Manuel Mayrdorfer, Fabian Halleck and Sebastian Möller. Their work appears in journals such as Frontiers in Public Health, Frontiers in Oncology, BMC Medical Informatics and Decision Making, Language Resources and Evaluation and Transplant International.

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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