Thomas Roelleke
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 13
- Semantic Web and Ontologies 10
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 3
-
- Information Retrieval and Search Behavior 12
- Expert finding and Q&A systems 2
- Co-authors
- Jun WangArjen P. de VriesNorbert FuhrLeif AzzopardiDjoerd HiemstraGerhard WeikumSihem Amer-YahiaDivesh Srivastava
- Journals
- Information Systems (1 paper)British Journal of Anaesthesia (1 paper)ACM SIGMOD Record (1 paper)The Computer Journal (1 paper)Information Retrieval (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Thomas Roelleke
26 papers receiving 231 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 184
- Information Systems 122
- Signal Processing 46
- Computer Networks and Communications 53
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Thomas Roelleke
This map shows the geographic impact of Thomas Roelleke'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 Thomas Roelleke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Roelleke more than expected).
Fields of papers citing papers by Thomas Roelleke
This network shows the impact of papers produced by Thomas Roelleke. 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 Thomas Roelleke. The network helps show where Thomas Roelleke may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Roelleke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2018 | 2 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 1 | |
| 5 | 2015 | 3 | |
| 6 | 2013 | 8 | |
| 7 | 2013 | 23 | |
| 8 | 2013 | 10 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 9 | |
| 14 | Modelling Anchor Text Retrieval in Book Search based on Back-of-Book Index | 2008 | 2 |
| 15 | 2007 | 4 | |
| 16 | 2007 | 12 | |
| 17 | 2006 | 21 | |
| 18 | 2006 | 6 | |
| 19 | 2003 | 20 | |
| 20 | A Probabilistic NF2 Relational Algebra for Integrated Information Retrieval and Database Systems | 1996 | 8 |
About Thomas Roelleke
Thomas Roelleke is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Geography, Planning and Development, having authored 27 papers that have together received 240 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Information Retrieval and Search Behavior (12 papers), Semantic Web and Ontologies (10 papers), Advanced Database Systems and Queries (8 papers), Data Management and Algorithms (6 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Information Systems (122 citations), Signal Processing (46 citations), Computer Networks and Communications (53 citations) and Computer Vision and Pattern Recognition (30 citations). Thomas Roelleke has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Jun Wang, Arjen P. de Vries, Norbert Fuhr, Jun Wang, Leif Azzopardi, Djoerd Hiemstra, Gerhard Weikum, Sihem Amer-Yahia, Divesh Srivastava and Gabriella Kazai. Their work appears in journals such as Information Systems, British Journal of Anaesthesia, ACM SIGMOD Record, The Computer Journal and Information Retrieval.
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.