Martijn Spitters
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems top 10%
- Communication top 10%
- Signal Processing
- Co-authors
- Anne SchuthM. MarxWessel KraaijAnette HulthHenri BoumaPieter T. EendebakEgon L. van den BroekGeorge Azzopardi
- Topics
- Advanced Text Analysis Techniques (6 papers)Topic Modeling (4 papers)Spam and Phishing Detection (3 papers)
- Journals
- Digital JournalismNatural Language EngineeringUniversity of Groningen research database (University of Groningen / Centre for Information Technology)
- Partner nations
- NetherlandsUnited KingdomSpain
In The Last Decade
Martijn Spitters
13 papers receiving 251 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 121
- Sociology and Political Science 105
- Information Systems 92
- Communication 59
- Signal Processing 25
Countries citing papers authored by Martijn Spitters
This map shows the geographic impact of Martijn Spitters'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 Martijn Spitters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martijn Spitters more than expected).
Fields of papers citing papers by Martijn Spitters
This network shows the impact of papers produced by Martijn Spitters. 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 Martijn Spitters. The network helps show where Martijn Spitters may publish in the future.
Co-authorship network of co-authors of Martijn Spitters
This figure shows the co-authorship network connecting the top 25 collaborators of Martijn Spitters. A scholar is included among the top collaborators of Martijn Spitters 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 Martijn Spitters. Martijn Spitters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 141 | |
| 2 | 10 | |
| 3 | 30 | |
| 4 | 28 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | Learning to Compose Effective Strategies from a Library of Dialogue Components | 0 |
| 10 | Headline extraction based on a combination of uni- and multidocument summarization techniques | 8 |
| 11 | Unsupervised Event Clustering in Multilingual News Streams | 6 |
| 12 | Using language models for tracking events of interest over time | 7 |
| 13 | Combining a mixture language model and Naive Bayes for multi-document summarisation | 20 |
| 14 | TNO at TDT2001: Language Model-Based Topic Detection | 20 |
| 15 | Comparing feature sets for learning text categorization | 6 |
About Martijn Spitters
Martijn Spitters is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 15 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (6 papers), Topic Modeling (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Communication (59 citations), Information Systems (92 citations) and Artificial Intelligence (121 citations). Martijn Spitters has collaborated with scholars based in Netherlands, United Kingdom and Spain. Frequent co-authors include Anne Schuth, M. Marx, Wessel Kraaij, Anette Hulth, Henri Bouma, Pieter T. Eendebak, Egon L. van den Broek, George Azzopardi, J.G.M. Schavemaker and Maaike de Boer. Their work appears in journals such as Digital Journalism, Natural Language Engineering and University of Groningen research database (University of Groningen / Centre for Information Technology).
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.