Christian Thurau
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Sociology and Political Science top 5%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Co-authors
- Christian BauckhageVáclav HlaváčKristian KerstingAnders DrachenRafet SifaValentin HaenelIngo BaxIngo Fruend
- Topics
- Artificial Intelligence in Games (17 papers)Reinforcement Learning in Robotics (9 papers)Human Pose and Action Recognition (8 papers)
In The Last Decade
Christian Thurau
40 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 969
- Sociology and Political Science 254
- Biomedical Engineering 243
- Human-Computer Interaction 160
Countries citing papers authored by Christian Thurau
This map shows the geographic impact of Christian Thurau'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 Christian Thurau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Thurau more than expected).
Fields of papers citing papers by Christian Thurau
This network shows the impact of papers produced by Christian Thurau. 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 Christian Thurau. The network helps show where Christian Thurau may publish in the future.
Co-authorship network of co-authors of Christian Thurau
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Thurau. A scholar is included among the top collaborators of Christian Thurau 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 Christian Thurau. Christian Thurau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The “Something Something” Video Database for Learning and Evaluating Visual Common Sensebreakdown → | 772 |
| 2 | 106 | |
| 3 | 20 | |
| 4 | 25 | |
| 5 | 119 | |
| 6 | 64 | |
| 7 | 57 | |
| 8 | 28 | |
| 9 | 36 | |
| 10 | Hierarchical Convex NMF for Clustering Massive Data | 17 |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 203 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | Tactical Waypoint Maps: Towards Imitating Tactics in FPS Games | 4 |
| 18 | Imitation learning at all levels of game-AI | 28 |
| 19 | Towards a Fair 'n Square Aimbot - Using Mixtures of Experts to Learn Context Aware Weapon Handling | 11 |
| 20 | Is Bayesian Imitation Learning the Route to Believable Gamebots | 19 |
About Christian Thurau
Christian Thurau is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (17 papers), Reinforcement Learning in Robotics (9 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (969 citations) and Human-Computer Interaction (160 citations). Christian Thurau has collaborated with scholars based in Germany, Denmark and Canada. Frequent co-authors include Christian Bauckhage, Václav Hlaváč, Kristian Kersting, Anders Drachen, Rafet Sifa, Valentin Haenel, Ingo Bax, Ingo Fruend, Roland Memisevic and Florian Hoppe. Their work appears in journals such as Functional Plant Biology, Data Mining and Knowledge Discovery and Knowledge and Information Systems.
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.