Chris Biemann
- Artificial Intelligence top 0.5%
- Information Systems top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Language and Linguistics top 5%
- Co-authors
- Martin RiedlIryna GurevychSeid Muhie YimamSteffen RemusAlexander PanchenkoTorsten ZeschRichard Eckart de CastilhoDaniel Bär
- Topics
- Topic Modeling (121 papers)Natural Language Processing Techniques (115 papers)Semantic Web and Ontologies (31 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Experimental Psychology Learning Memory and CognitionFrontiers in Psychology
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Chris Biemann
163 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 2.2k
- Information Systems 254
- Molecular Biology 251
- Computer Vision and Pattern Recognition 181
- Language and Linguistics 99
Countries citing papers authored by Chris Biemann
This map shows the geographic impact of Chris Biemann'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 Chris Biemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Biemann more than expected).
Fields of papers citing papers by Chris Biemann
This network shows the impact of papers produced by Chris Biemann. 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 Chris Biemann. The network helps show where Chris Biemann may publish in the future.
Co-authorship network of co-authors of Chris Biemann
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Biemann. A scholar is included among the top collaborators of Chris Biemann 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 Chris Biemann. Chris Biemann 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 | 40 | |
| 4 | Neural classification with attention assessment of the implicit-association test OMT and prediction of subsequent academic success. | 2 |
| 5 | 5 | |
| 6 | 9 | |
| 7 | Intelligent Collaboration of Humans and Language-Based Assistants (INSTANT) | 1 |
| 8 | Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities | 1 |
| 9 | 17 | |
| 10 | CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups | 26 |
| 11 | 4 | |
| 12 | DISTRIBUTED DISTRIBUTIONAL SIMILARITIES OF GOOGLE BOOKS OVER THE CENTURIES | 5 |
| 13 | Text Mining: From Ontology Learning to Automated Text Processing Applications | 6 |
| 14 | 4 | |
| 15 | Three Knowledge-Free Methods for Automatic Lexical Chain Extraction | 7 |
| 16 | Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis | 2 |
| 17 | 24 | |
| 18 | TopicTiling: A Text Segmentation Algorithm based on LDA | 77 |
| 19 | Turk Bootstrap Word Sense Inventory 2.0: A Large-Scale Resource for Lexical Substitution | 15 |
| 20 | ASV Toolbox: a Modular Collection of Language Exploration Tools. | 20 |
About Chris Biemann
Chris Biemann is a scholar working on Artificial Intelligence, General Social Sciences and General Psychology, having authored 179 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (121 papers), Natural Language Processing Techniques (115 papers) and Semantic Web and Ontologies (31 papers). The work is most often cited by research in Artificial Intelligence (2.2k citations), Information Systems (254 citations) and Cultural Studies (83 citations). Chris Biemann has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Martin Riedl, Iryna Gurevych, Seid Muhie Yimam, Steffen Remus, Alexander Panchenko, Torsten Zesch, Richard Eckart de Castilho, Daniel Bär, Ido Dagan and Omer Levy. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Experimental Psychology Learning Memory and Cognition and Frontiers in Psychology.
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.