Julien Kloetzer

561 total citations
22 papers, 355 citations indexed

About

Julien Kloetzer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Julien Kloetzer has authored 22 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Sociology and Political Science. Recurrent topics in Julien Kloetzer's work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (5 papers). Julien Kloetzer is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Advanced Text Analysis Techniques (5 papers). Julien Kloetzer collaborates with scholars based in Japan, United States and France. Julien Kloetzer's co-authors include Jong–Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Canasai Kruengkrai, Masahiro Tanaka, István Varga, Yutaka Kidawara, Kiyonori Ohtake and Bruno Bouzy and has published in prestigious journals such as ICGA Journal, International Conference on Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Julien Kloetzer

22 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julien Kloetzer Japan 10 332 56 47 45 23 22 355
Kapil Thadani United States 12 299 0.9× 35 0.6× 13 0.3× 42 0.9× 13 0.6× 27 355
Tareq Al-Moslmi Norway 6 292 0.9× 16 0.3× 39 0.8× 82 1.8× 25 1.1× 12 345
Sagnik Ray Choudhury United States 12 134 0.4× 98 1.8× 25 0.5× 73 1.6× 14 0.6× 18 251
Jagadeesh Jagarlamudi United States 10 391 1.2× 52 0.9× 11 0.2× 61 1.4× 21 0.9× 17 447
Nikesh Garera United States 10 261 0.8× 9 0.2× 64 1.4× 90 2.0× 17 0.7× 26 305
Nicholas Andrews United States 8 195 0.6× 27 0.5× 19 0.4× 64 1.4× 18 0.8× 21 235
Eric Malmi Finland 10 225 0.7× 37 0.7× 6 0.1× 40 0.9× 15 0.7× 26 304
Benjamin Rosenfeld Israel 9 200 0.6× 14 0.3× 57 1.2× 90 2.0× 6 0.3× 12 263
Koji Eguchi Japan 10 341 1.0× 60 1.1× 21 0.4× 203 4.5× 14 0.6× 59 425
Anthony Aue United States 8 455 1.4× 20 0.4× 9 0.2× 79 1.8× 16 0.7× 11 473

Countries citing papers authored by Julien Kloetzer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Oh, Jong–Hoon, Ryu Iida, Julien Kloetzer, & Kentaro Torisawa. (2021). BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks. 2103–2115. 1 indexed citations
2.
Oh, Jong–Hoon, et al.. (2019). Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts. 4227–4237. 5 indexed citations
3.
4.
Iida, Ryu, et al.. (2019). Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 142–151. 7 indexed citations
5.
Oh, Jong–Hoon, Kentaro Torisawa, Canasai Kruengkrai, Ryu Iida, & Julien Kloetzer. (2017). Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering. 415–424. 33 indexed citations
6.
Kruengkrai, Canasai, Kentaro Torisawa, Chikara Hashimoto, et al.. (2017). Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 42 indexed citations
7.
Tanaka, Masahiro, Kiyonori Ohtake, Jong–Hoon Oh, et al.. (2016). WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data.. International Conference on Computational Linguistics. 263–267. 17 indexed citations
8.
Oh, Jong–Hoon, Kentaro Torisawa, Chikara Hashimoto, et al.. (2016). A Semi-Supervised Learning Approach to Why-Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 26 indexed citations
9.
Iida, Ryu, Kentaro Torisawa, Jong–Hoon Oh, Canasai Kruengkrai, & Julien Kloetzer. (2016). Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network. 25 indexed citations
10.
Kloetzer, Julien, Kentaro Torisawa, Chikara Hashimoto, & Jong–Hoon Oh. (2015). Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity. 1649–1655. 7 indexed citations
11.
Iida, Ryu, Kentaro Torisawa, Chikara Hashimoto, Jong–Hoon Oh, & Julien Kloetzer. (2015). Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition. 2179–2189. 19 indexed citations
12.
Kruengkrai, Canasai, Kiyonori Ohtake, Chikara Hashimoto, et al.. (2015). Recognizing Complex Negation on Twitter. Waseda University Repository (Waseda University). 544–552. 1 indexed citations
13.
Hashimoto, Chikara, Kentaro Torisawa, Julien Kloetzer, & Jong–Hoon Oh. (2015). Generating Event Causality Hypotheses through Semantic Relations. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 27 indexed citations
14.
Torisawa, Kentaro, et al.. (2014). Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy. International Conference on Computational Linguistics. 1423–1434. 4 indexed citations
15.
Hashimoto, Chikara, Kentaro Torisawa, Julien Kloetzer, et al.. (2014). Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features. 74 indexed citations
16.
Kloetzer, Julien, Stijn De Saeger, Kentaro Torisawa, et al.. (2013). Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment. 693–703. 14 indexed citations
17.
Kloetzer, Julien. (2010). Experiments in Monte-Carlo Amazons (ゲーム情報学(GI) Vol.2010-GI-24). Medical Entomology and Zoology. 2010(6). 1–4. 2 indexed citations
18.
Kloetzer, Julien. (2009). INVADER wins Amazons Tournament. ICGA Journal. 32(2). 112–113. 1 indexed citations
19.
Kloetzer, Julien, Hiroyuki Iida, & Bruno Bouzy. (2009). Playing Amazons Endgames1. ICGA Journal. 32(3). 140–148. 5 indexed citations
20.
Kloetzer, Julien, Hiroyuki Iida, & Bruno Bouzy. (2008). A comparative study of solvers in Amazons endgames. 6. 378–384. 8 indexed citations

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.

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