Udo Kruschwitz
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Science Applications top 2%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Massimo PoesioJon ChamberlainChris FoxMahmoud El‐HajSilviu PaunLivio RobaldoDawei SongJuntao Yu
- Topics
- Topic Modeling (43 papers)Natural Language Processing Techniques (31 papers)Speech and dialogue systems (25 papers)
- Journals
- Computers in Human BehaviorExpert Systems with ApplicationsInformation Processing & Management
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Udo Kruschwitz
98 papers receiving 876 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 722
- Information Systems 225
- Computer Science Applications 189
- Sociology and Political Science 120
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Udo Kruschwitz
This map shows the geographic impact of Udo Kruschwitz'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 Udo Kruschwitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udo Kruschwitz more than expected).
Fields of papers citing papers by Udo Kruschwitz
This network shows the impact of papers produced by Udo Kruschwitz. 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 Udo Kruschwitz. The network helps show where Udo Kruschwitz may publish in the future.
Co-authorship network of co-authors of Udo Kruschwitz
This figure shows the co-authorship network connecting the top 25 collaborators of Udo Kruschwitz. A scholar is included among the top collaborators of Udo Kruschwitz 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 Udo Kruschwitz. Udo Kruschwitz 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 | 3 | |
| 4 | University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection. | 1 |
| 5 | Metrics of games-with-a-purpose for NLP applications | 4 |
| 6 | 34 | |
| 7 | Improving Hate Speech Detection with Deep Learning Ensembles | 45 |
| 8 | Advances in Information Retrieval : 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings | 6 |
| 9 | Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference. | 13 |
| 10 | AraNLP: a Java-based Library for the Processing of Arabic Text. | 45 |
| 11 | Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation | 9 |
| 12 | A Semi-supervised Learning Approach to Arabic Named Entity Recognition | 10 |
| 13 | Assessing Crowdsourcing Quality through Objective Tasks | 31 |
| 14 | RGU-ISTI-Essex at TREC 2011 Session Track | 4 |
| 15 | 2 | |
| 16 | Using domain models for context-rich user logging | 1 |
| 17 | ANAWIKI: Creating Anaphorically Annotated Resources through Web Cooperation. | 15 |
| 18 | An Anaphora Resolution-Based Anonymization Module | 1 |
| 19 | Report on the NCeSS Agenda Setting Workshop on Confidentiality and Data Sharing | 0 |
| 20 | Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series) | 6 |
About Udo Kruschwitz
Udo Kruschwitz is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 108 papers that have together received 960 indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (31 papers) and Speech and dialogue systems (25 papers). The work is most often cited by research in Computer Science Applications (189 citations), Artificial Intelligence (722 citations) and Information Systems (225 citations). Udo Kruschwitz has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Massimo Poesio, Jon Chamberlain, Chris Fox, Mahmoud El‐Haj, Silviu Paun, Livio Robaldo, Dawei Song, Juntao Yu, Alistair Thorpe and Dirk Hovy. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications and Information Processing & Management.
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.