Julien Kloetzer
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Jong–Hoon OhKentaro TorisawaChikara HashimotoRyu IidaCanasai KruengkraiMasahiro TanakaYutaka KidawaraIstván Varga
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (16 papers)Advanced Text Analysis Techniques (5 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Journals
- ICGA JournalInternational Conference on Computational LinguisticsProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Julien Kloetzer
22 papers receiving 335 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 332
- Computer Vision and Pattern Recognition 56
- Management Science and Operations Research 47
- Information Systems 45
- Sociology and Political Science 23
Countries citing papers authored by Julien Kloetzer
This map shows the geographic impact of Julien Kloetzer'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 Julien Kloetzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Kloetzer more than expected).
Fields of papers citing papers by Julien Kloetzer
This network shows the impact of papers produced by Julien Kloetzer. 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 Julien Kloetzer. The network helps show where Julien Kloetzer may publish in the future.
Co-authorship network of co-authors of Julien Kloetzer
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Kloetzer. A scholar is included among the top collaborators of Julien Kloetzer 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 Julien Kloetzer. Julien Kloetzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 7 | |
| 5 | 42 | |
| 6 | 33 | |
| 7 | WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data. | 17 |
| 8 | 26 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | Recognizing Complex Negation on Twitter | 1 |
| 13 | 27 | |
| 14 | Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy | 4 |
| 15 | 74 | |
| 16 | 14 | |
| 17 | Experiments in Monte-Carlo Amazons (ゲーム情報学(GI) Vol.2010-GI-24) | 2 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 8 |
About Julien Kloetzer
Julien Kloetzer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 22 papers that have together received 355 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (332 citations), Management Science and Operations Research (47 citations) and Computer Vision and Pattern Recognition (56 citations). Julien Kloetzer has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Jong–Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Canasai Kruengkrai, Masahiro Tanaka, Yutaka Kidawara, István Varga, Kiyonori Ohtake and Hiroyuki Iida. Their work appears in journals such as ICGA Journal, International Conference on Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.
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.