Ioannis Tsochantaridis
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 2%
- Molecular Biology
- Signal Processing top 2%
- Co-authors
- Thomas HofmannYasemin AltünThorsten JoachimsStuart AndrewsThorsten BrantsFrancine ChenYi LiuVibhu O. Mittal
- Topics
- Natural Language Processing Techniques (5 papers)Topic Modeling (4 papers)Text and Document Classification Technologies (4 papers)
- Journals
- Journal of Machine Learning ResearchApplied Artificial IntelligenceMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Ioannis Tsochantaridis
10 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 1.9k
- Information Systems 349
- Molecular Biology 316
- Signal Processing 312
Countries citing papers authored by Ioannis Tsochantaridis
This map shows the geographic impact of Ioannis Tsochantaridis'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 Ioannis Tsochantaridis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Tsochantaridis more than expected).
Fields of papers citing papers by Ioannis Tsochantaridis
This network shows the impact of papers produced by Ioannis Tsochantaridis. 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 Ioannis Tsochantaridis. The network helps show where Ioannis Tsochantaridis may publish in the future.
Co-authorship network of co-authors of Ioannis Tsochantaridis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Tsochantaridis. A scholar is included among the top collaborators of Ioannis Tsochantaridis 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 Ioannis Tsochantaridis. Ioannis Tsochantaridis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | Statistical Machine Translation for Query Expansion in Answer Retrieval | 145 |
| 3 | Large Margin Methods for Structured and Interdependent Output Variablesbreakdown → | 1221 |
| 4 | Support vector machine learning for interdependent and structured output spacesbreakdown → | 826 |
| 5 | Hidden Markov support vector machines | 304 |
| 6 | Support Vector Machines for Multiple-Instance Learningbreakdown → | 936 |
| 7 | 59 | |
| 8 | 99 | |
| 9 | 36 | |
| 10 | 1 |
About Ioannis Tsochantaridis
Ioannis Tsochantaridis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 10 papers that have together received 3.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (2.2k citations) and Signal Processing (312 citations). Ioannis Tsochantaridis has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Thomas Hofmann, Yasemin Altün, Thorsten Joachims, Stuart Andrews, Thorsten Brants, Francine Chen, Yi Liu, Vibhu O. Mittal, Stefan Riezler and Richard Bowden. Their work appears in journals such as Journal of Machine Learning Research, Applied Artificial Intelligence and Meeting of the Association for Computational Linguistics.
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.