Thorsten Joachims
Impact in
- Artificial Intelligence top 0.01%
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
Papers in
-
- Advanced Bandit Algorithms Research 35
-
- Machine Learning and Algorithms 32
- Topic Modeling 21
- Text and Document Classification Technologies 16
- Advanced Text Analysis Techniques 14
- Co-authors
- Filip RadlinskiGeri GayLaura GrankaThomas HofmannIoannis TsochantaridisYasemin AltünThomas FinleyChun-Nam Yu
- Journals
- ACM SIGIR Forum (6 papers)ACM Transactions on Information Systems (2 papers)Machine Learning (2 papers)The International Journal of Robotics Research (2 papers)Journal of Machine Learning Research (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Thorsten Joachims
153 papers receiving 23.2k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Artificial Intelligence 14.8k
- Computer Vision and Pattern Recognition 7.3k
- Information Systems 7.9k
- Signal Processing 2.3k
- Computer Science Applications 979
Countries citing papers authored by Thorsten Joachims
This map shows the geographic impact of Thorsten Joachims'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 Thorsten Joachims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten Joachims more than expected).
Fields of papers citing papers by Thorsten Joachims
This network shows the impact of papers produced by Thorsten Joachims. 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 Thorsten Joachims. The network helps show where Thorsten Joachims may publish in the future.
Co-authors
The 25 scholars most cited alongside Thorsten Joachims, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | MOReL: Model-Based Offline Reinforcement Learning | 2020 | 2 |
| 4 | Policy Learning for Fairness in Ranking | 2019 | 22 |
| 5 | Deep Learning with Logged Bandit Feedback | 2018 | 27 |
| 6 | Counterfactual Learning-to-Rank for Additive Metrics and Deep Models | 2018 | 3 |
| 7 | The self-normalized estimator for counterfactual learning | 2015 | 89 |
| 8 | Large-Margin Learning of Submodular Summarization Models | 2012 | 36 |
| 9 | The K-armed Dueling Bandits Problem. | 2009 | 11 |
| 10 | Large Margin Methods for Structured and Interdependent Output Variables Hit paper breakdown → | 2005 | 1221 |
| 11 | Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms Hit paper breakdown → | 2002 | 642 |
| 12 | 2001 | 160 | |
| 13 | Composite Kernels for Hypertext Categorisation | 2001 | 96 |
| 14 | The Maximum-Margin Approach to Learning Text Classifiers. | 2001 | 4 |
| 15 | Knowledge discovery and knowledge validation in intensive care | 2000 | 1 |
| 16 | Expected Error Analysis for Model Selection | 1999 | 6 |
| 17 | Transductive Inference for Text Classification using Support Vector Machines Hit paper breakdown → | 1999 | 1812 |
| 18 | Browsing-Assistenten, Tour Guides und adaptive WWW-Server. | 1998 | 1 |
| 19 | Estimating the expected error of empirical minimizers for model selection | 1998 | 1 |
| 20 | A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization Hit paper breakdown → | 1997 | 785 |
About Thorsten Joachims
Thorsten Joachims is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Science Applications, Information Systems and Computer Vision and Pattern Recognition, having authored 161 papers that have together received 25.2k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (35 papers), Machine Learning and Algorithms (32 papers), Information Retrieval and Search Behavior (29 papers), Recommender Systems and Techniques (22 papers), Topic Modeling (21 papers), Text and Document Classification Technologies (16 papers), Advanced Text Analysis Techniques (14 papers) and Mobile Crowdsensing and Crowdsourcing (14 papers). The work is most often cited by research in Artificial Intelligence (14.8k citations), Computer Vision and Pattern Recognition (7.3k citations), Information Systems (7.9k citations), Signal Processing (2.3k citations) and Computer Science Applications (979 citations). Thorsten Joachims has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Filip Radlinski, Geri Gay, Laura Granka, Thomas Hofmann, Ioannis Tsochantaridis, Yasemin Altün, Thomas Finley, Chun-Nam Yu, Bing Pan and Helene Hembrooke. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, Machine Learning, The International Journal of Robotics Research and Journal of Machine Learning Research.
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.