Kotaro Funakoshi

1.1k total citations
100 papers, 639 citations indexed

About

Kotaro Funakoshi is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kotaro Funakoshi has authored 100 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 31 papers in Social Psychology and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kotaro Funakoshi's work include Speech and dialogue systems (46 papers), Natural Language Processing Techniques (32 papers) and Social Robot Interaction and HRI (28 papers). Kotaro Funakoshi is often cited by papers focused on Speech and dialogue systems (46 papers), Natural Language Processing Techniques (32 papers) and Social Robot Interaction and HRI (28 papers). Kotaro Funakoshi collaborates with scholars based in Japan, United States and Canada. Kotaro Funakoshi's co-authors include Mikio Nakano, Seiji Yamada, Kazuki Kobayashi, Manabu Okumura, Ryuichiro Higashinaka, Yuka Kobayashi, Takanori Komatsu, Naoto Iwahashi, Hiroshi Tsujino and Dongyuan Li and has published in prestigious journals such as Cognitive Science, Knowledge-Based Systems and Speech Communication.

In The Last Decade

Kotaro Funakoshi

92 papers receiving 603 citations

Peers

Kotaro Funakoshi

CVPR

CSE

Mikio Nakano Japan

Geert-Jan M. Kruijff Germany

David Schlangen Germany

Andrea Lockerd United States

Raquel Ros Spain

Tomoaki Nakamura Japan

Ignazio Infantino Italy

Shogo Okada Japan

Marcello Frixione Italy

Scott Prevost United States

Mikio Nakano Japan

Kotaro Funakoshi

636 ×1.4

291 ×1.7

143 ×1.1

CVPR

120 ×1.3

CSE

88 ×1.4

Citations per year, relative to Kotaro Funakoshi Kotaro Funakoshi (= 1×) peers Mikio Nakano

Countries citing papers authored by Kotaro Funakoshi

Since Specialization

Citations

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

Fields of papers citing papers by Kotaro Funakoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kotaro Funakoshi

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

All Works

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20 of 20 papers shown

Kobayashi, Naoki, et al.. (2025). Dataset Distillation with Attention Labels for Fine-tuning BERT. Journal of Natural Language Processing. 32(1). 283–299.

Zhang, Ying, et al.. (2024). Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition. Journal of Natural Language Processing. 31(3). 825–867. 1 indexed citations

Li, Dongyuan, et al.. (2024). LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. 15240–15253. 1 indexed citations

Funakoshi, Kotaro, et al.. (2024). DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation. 3138–3153. 1 indexed citations

Li, Dongyuan, et al.. (2023). Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization. Journal of Natural Language Processing. 30(1). 184–214. 4 indexed citations

Kamigaito, Hidetaka, et al.. (2023). LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation. Journal of Natural Language Processing. 30(2). 456–488.

Li, Dongyuan, et al.. (2023). Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition. 16051–16069. 15 indexed citations

Kamigaito, Hidetaka, et al.. (2023). Generative Replay Inspired by Hippocampal Memory Indexing for Continual Language Learning. 930–942. 3 indexed citations

Higashinaka, Ryuichiro, et al.. (2016). The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics. Language Resources and Evaluation. 3146–3150. 34 indexed citations

10.

Komatsu, Takanori, Rui Prada, Kazuki Kobayashi, et al.. (2015). Investigating Ways of Interpretations of Artificial Subtle Expressions Among Different Languages: A Case of Comparison Among Japanese, German, Portuguese and Mandarin Chinese.. Cognitive Science. 2 indexed citations

11.

Yamauchi, Takashi, Mikio Nakano, & Kotaro Funakoshi. (2013). A Robotic Agent in a Virtual Environment that Performs Situated Incremental Understanding of Navigational Utterances. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 369–371. 1 indexed citations

12.

Komatsu, Takanori, et al.. (2012). How Can We Live with Overconfident or Unconfident Systems?: A Comparison of Artificial Subtle Expressions with Human-like Expression. Cognitive Science. 34(34). 3 indexed citations

13.

Funakoshi, Kotaro, Mikio Nakano, Takenobu Tokunaga, & Ryu Iida. (2012). A Unified Probabilistic Approach to Referring Expressions. Tokyo Tech Research Repository (Tokyo Institute of Technology). 237–246. 12 indexed citations

14.

Nakano, Mikio, Naoto Iwahashi, Takayuki Nagai, et al.. (2010). Grounding New Words on the Physical World in Multi-Domain Human-Robot Dialogues. National Conference on Artificial Intelligence. 74–79. 5 indexed citations

15.

Komatani, Kazunori, et al.. (2010). Automatic Allocation of Training Data for Rapid Prototyping of Speech Understanding based on Multiple Model Combination. International Conference on Computational Linguistics. 579–587. 1 indexed citations

16.

Funakoshi, Kotaro, Mikio Nakano, Kazuki Kobayashi, Takanori Komatsu, & Seiji Yamada. (2010). Non-humanlike Spoken Dialogue: A Design Perspective. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 176–184. 14 indexed citations

17.

Nakano, Mikio, Yuka Nagano, Kotaro Funakoshi, et al.. (2007). Analysis of User Reactions to Turn-Taking Failures in Spoken Dialogue Systems. 120–123. 9 indexed citations

18.

Funakoshi, Kotaro & Takenobu Tokunaga. (2006). Identifying Repair Targets in Action Control Dialogue.. Conference of the European Chapter of the Association for Computational Linguistics. 177–184. 2 indexed citations

19.

Funakoshi, Kotaro, et al.. (2006). Generating Referring Expressions based-on Perceptual Grouping. Journal of Natural Language Processing. 13(2). 79–97. 1 indexed citations

20.

Funakoshi, Kotaro, Takenobu Tokunaga, & Hozumi Tanaka. (2003). Processing Japanese Self-correction in Speech Dialog Systems.. Journal of Natural Language Processing. 10(4). 33–53.

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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