Tristan Miller
- Artificial Intelligence top 5%
- Social Psychology top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Iryna GurevychBenjamin SchillerChristian StabChristian F. HempelmannGrigoris AntoniouMichael J. MaherAndrew RockDavid P. Billington
- Topics
- Natural Language Processing Techniques (19 papers)Topic Modeling (16 papers)Humor Studies and Applications (6 papers)
- Journals
- Journal of BiomechanicsJournal of Educational Computing ResearchLanguage Resources and Evaluation
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Tristan Miller
27 papers receiving 472 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 443
- Social Psychology 103
- Information Systems 101
- Computer Vision and Pattern Recognition 48
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Tristan Miller
This map shows the geographic impact of Tristan Miller'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 Tristan Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan Miller more than expected).
Fields of papers citing papers by Tristan Miller
This network shows the impact of papers produced by Tristan Miller. 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 Tristan Miller. The network helps show where Tristan Miller may publish in the future.
Co-authorship network of co-authors of Tristan Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Tristan Miller. A scholar is included among the top collaborators of Tristan Miller 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 Tristan Miller. Tristan Miller 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 | 1 | |
| 3 | 0 | |
| 4 | 19 | |
| 5 | OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning | 2 |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 71 | |
| 9 | 52 | |
| 10 | 60 | |
| 11 | CNN- and LSTM-based Claim Classification in Online User Comments | 37 |
| 12 | 21 | |
| 13 | 46 | |
| 14 | WordNet―Wikipedia―Wiktionary: Construction of a Three-way Alignment | 6 |
| 15 | A Language-independent Sense Clustering Approach for Enhanced WSD | 1 |
| 16 | Russian-English Homoglyphs, Homographs, and Homographic Translations | 0 |
| 17 | Exploiting Latent Semantic Relations in Highly Linked Hypertext for Information Retrieval in Wikis | 1 |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Determination of in situ contact areas in diarthrodial joints by MRI. | 2 |
About Tristan Miller
Tristan Miller is a scholar working on Artificial Intelligence, Visual Arts and Performing Arts and Communication, having authored 34 papers that have together received 549 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Humor Studies and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (443 citations), Visual Arts and Performing Arts (28 citations) and Social Psychology (103 citations). Tristan Miller has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Iryna Gurevych, Benjamin Schiller, Christian Stab, Christian F. Hempelmann, Grigoris Antoniou, Michael J. Maher, Andrew Rock, David P. Billington, Torsten Zesch and Chris Biemann. Their work appears in journals such as Journal of Biomechanics, Journal of Educational Computing Research and Language Resources and Evaluation.
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.