Sosuke Kobayashi

1.4k total citations
15 papers, 187 citations indexed

About

Sosuke Kobayashi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sosuke Kobayashi has authored 15 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Sosuke Kobayashi's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Advanced Data Processing Techniques (1 paper). Sosuke Kobayashi is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Advanced Data Processing Techniques (1 paper). Sosuke Kobayashi collaborates with scholars based in Japan and United States. Sosuke Kobayashi's co-authors include Kentaro Inui, Masaki Saito, Shunta Saito, Masanori Koyama, Jun Suzuki, Naoya Inoue, Naoaki Okazaki, Hiroki Ouchi, Tatsuki Kuribayashi and Andrew S. Gordon and has published in prestigious journals such as International Journal of Computer Vision, Transactions of the Association for Computational Linguistics and International Journal of Machine Learning and Computing.

In The Last Decade

Sosuke Kobayashi

13 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sosuke Kobayashi Japan	8	119	86	14	14	9	15	187
Ralph Gasser Switzerland	11	113 0.9×	247 2.9×	15 1.1×	5 0.4×	4 0.4×	21	303
Jack W. Rae United States	6	138 1.2×	48 0.6×	10 0.7×	8 0.6×	8 0.9×	10	184
Christos Louizos Netherlands	5	119 1.0×	51 0.6×	12 0.9×	5 0.4×	5 0.6×	12	145
Jan Buys United Kingdom	6	243 2.0×	75 0.9×	26 1.9×	5 0.4×	6 0.7×	19	265
Weichong Yin China	5	174 1.5×	195 2.3×	12 0.9×	3 0.2×	5 0.6×	6	262
Saloni Potdar United States	7	178 1.5×	38 0.4×	24 1.7×	6 0.4×	3 0.3×	14	209
Aditya Mogadala India	5	109 0.9×	53 0.6×	8 0.6×	5 0.4×	3 0.3×	14	152
Eric Nalisnick United States	7	173 1.5×	42 0.5×	47 3.4×	6 0.4×	10 1.1×	19	214
Yasumasa Onoe United States	7	128 1.1×	91 1.1×	17 1.2×	19 1.4×	3 0.3×	12	202
Michel Crampes France	5	47 0.4×	37 0.4×	24 1.7×	6 0.4×	2 0.2×	16	97

Countries citing papers authored by Sosuke Kobayashi

Since Specialization

Citations

This map shows the geographic impact of Sosuke Kobayashi'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 Sosuke Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sosuke Kobayashi more than expected).

Fields of papers citing papers by Sosuke Kobayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sosuke Kobayashi. 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 Sosuke Kobayashi. The network helps show where Sosuke Kobayashi may publish in the future.

Co-authorship network of co-authors of Sosuke Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Sosuke Kobayashi. A scholar is included among the top collaborators of Sosuke Kobayashi 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 Sosuke Kobayashi. Sosuke Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Takase, Sho, Shun Kiyono, Sosuke Kobayashi, & Jun Suzuki. (2023). B2T Connection: Serving Stability and Performance in Deep Transformers. 3078–3095. 4 indexed citations

Kobayashi, Sosuke, Eiichi Matsumoto, & Vincent Sitzmann. (2022). Decomposing NeRF for Editing Via Feature Field Distillation. 23311–23330.

Kobayashi, Sosuke, Shun Kiyono, Jun Suzuki, & Kentaro Inui. (2022). Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. 42–50. 3 indexed citations

Arakawa, Riku, Hiromu Yakura, & Sosuke Kobayashi. (2022). VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users’ Daily Lives. CHI Conference on Human Factors in Computing Systems. 1–21. 10 indexed citations

Kobayashi, Sosuke. (2022). Writing of “Efficient Estimation of Influence of a Training Instance”. Journal of Natural Language Processing. 29(2). 699–704.

Kiyono, Shun, Sosuke Kobayashi, Jun Suzuki, & Kentaro Inui. (2021). SHAPE: Shifted Absolute Position Embedding for Transformers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3309–3321. 9 indexed citations

Ouchi, Hiroki, et al.. (2021). Instance-Based Neural Dependency Parsing. Transactions of the Association for Computational Linguistics. 9. 1493–1507. 2 indexed citations

Ouchi, Hiroki, et al.. (2020). Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. 6452–6459. 33 indexed citations

Saito, Masaki, Shunta Saito, Masanori Koyama, & Sosuke Kobayashi. (2020). Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. International Journal of Computer Vision. 128(10-11). 2586–2606. 57 indexed citations

10.

Kobayashi, Sosuke, et al.. (2018). Unsupervised Learning of Style-sensitive Word Vectors. 572–578. 6 indexed citations

11.

Inoue, Naoya, et al.. (2017). Generating Stylistically Consistent Dialog Responses with Transfer Learning. International Joint Conference on Natural Language Processing. 2. 408–412. 14 indexed citations

12.

Roemmele, Melissa, Sosuke Kobayashi, Naoya Inoue, & Andrew S. Gordon. (2017). An RNN-based Binary Classifier for the Story Cloze Test. 74–80. 15 indexed citations

13.

Takahashi, Ryo, et al.. (2016). Explaining Potential Risks in Traffic Scenes by Combining Logical Inference and Physical Simulation. International Journal of Machine Learning and Computing. 6(5). 248–255. 4 indexed citations

14.

Kobayashi, Sosuke, et al.. (2016). Dynamic Entity Representation with Max-pooling Improves Machine Reading. 850–855. 17 indexed citations

15.

Igarashi, Yuki, et al.. (2016). Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. 401–407. 13 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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