Kotaro Nakayama

1.0k total citations
23 papers, 510 citations indexed

About

Kotaro Nakayama is a scholar working on Artificial Intelligence, Communication and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kotaro Nakayama has authored 23 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Communication and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kotaro Nakayama's work include Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Wikis in Education and Collaboration (8 papers). Kotaro Nakayama is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Wikis in Education and Collaboration (8 papers). Kotaro Nakayama collaborates with scholars based in Japan, Spain and Switzerland. Kotaro Nakayama's co-authors include Helmut Prendinger, Shojiro Nishio, Takahiro Hara, Yutaka Matsuo, Samuel Murray, Mohammadamin Barekatain, Sérgio Escalera, Kohei Nagai, Yutaka Matsuo and Masahiro Ito and has published in prestigious journals such as IEEE Access, Automation in Construction and Computers in Industry.

In The Last Decade

Kotaro Nakayama

22 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kotaro Nakayama Japan	11	202	192	114	78	43	23	510
T. J. Mateo Sanguino Spain	11	51 0.3×	67 0.3×	37 0.3×	52 0.7×	34 0.8×	58	477
Flávio Luis Cardeal Pádua Brazil	11	46 0.2×	259 1.3×	18 0.2×	50 0.6×	18 0.4×	37	414
Junaid Akram Australia	14	168 0.8×	59 0.3×	47 0.4×	75 1.0×	98 2.3×	36	433
Lili Fan China	14	61 0.3×	182 0.9×	70 0.6×	58 0.7×	21 0.5×	49	472
Mario Ortí Mata Spain	8	38 0.2×	335 1.7×	44 0.4×	83 1.1×	5 0.1×	20	480
Nemanja Petrović United States	11	85 0.4×	217 1.1×	9 0.1×	25 0.3×	55 1.3×	24	486
Guoqing Jin China	10	125 0.6×	175 0.9×	18 0.2×	31 0.4×	35 0.8×	34	420
Hafiz Adnan Habib Pakistan	13	111 0.5×	312 1.6×	43 0.4×	18 0.2×	27 0.6×	30	560
Yang Peng China	12	261 1.3×	79 0.4×	17 0.1×	168 2.2×	43 1.0×	35	668

Countries citing papers authored by Kotaro Nakayama

Since Specialization

Citations

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

Fields of papers citing papers by Kotaro Nakayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kotaro Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Kotaro Nakayama. A scholar is included among the top collaborators of Kotaro Nakayama 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 Nakayama. Kotaro Nakayama 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

Gonçalves, Artur, et al.. (2019). UAV-Based Situational Awareness System Using Deep Learning. IEEE Access. 7. 122583–122594. 57 indexed citations

Escalera, Sérgio, et al.. (2019). Vision based pixel-level bridge structural damage detection using a link ASPP network. Automation in Construction. 110. 102973–102973. 60 indexed citations

Rubio, Juan José Álvarez, Kohei Nagai, Sérgio Escalera, et al.. (2019). Multi-class structural damage segmentation using fully convolutional networks. Computers in Industry. 112. 103121–103121. 72 indexed citations

Iwasawa, Yusuke, et al.. (2018). Toward learning better metrics for sequence generation training with policy gradient. 1 indexed citations

Suzuki, Masahiro, Kotaro Nakayama, & Yutaka Matsuo. (2017). Joint Multimodal Learning with Deep Generative Models. International Conference on Learning Representations. 5 indexed citations

Iwasawa, Yusuke, et al.. (2017). Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training. 1930–1936. 22 indexed citations

Barekatain, Mohammadamin, et al.. (2017). Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection. 2153–2160. 133 indexed citations

Nakayama, Kotaro, et al.. (2015). Wikipedia-Based Semantic Similarity Measurements for Noisy Short Texts Using Extended Naive Bayes. IEEE Transactions on Emerging Topics in Computing. 3(2). 205–219. 30 indexed citations

Ito, Masahiro, Kotaro Nakayama, Takahiro Hara, & Shojiro Nishio. (2011). Semantic relatedness measurement based on Wikipedia link co‐occurrence analysis. International Journal of Web Information Systems. 7(1). 44–61. 2 indexed citations

10.

Finch, Andrew, et al.. (2011). Calculating Wikipedia Article Similarity Using Machine Translation Evaluation Metrics. 620–625. 2 indexed citations

11.

Nakayama, Kotaro, et al.. (2009). Concept vector extraction from Wikipedia category network. 71–79. 8 indexed citations

12.

Nakayama, Kotaro. (2008). Wikipedia Mining for Triple Extraction Enhanced by Co-reference Resolution.. CEUR Workshop Proceedings. 405. 2 indexed citations

13.

Nakayama, Kotaro, et al.. (2008). Concept Vectorization Methods using Wikipedia Category Network. IPSJ SIG Notes. 2008(56). 89–96. 2 indexed citations

14.

Nakayama, Kotaro, Takahiro Hara, & Shojiro Nishio. (2008). A Method based on NLP with Link Structure Mining to Construct a Web Ontology from Wikipedia. 1 indexed citations

15.

Nakayama, Kotaro, et al.. (2008). Constructing a Global Ontology by Concept Mapping Using Wikipedia Thesaurus. 1205–1210. 14 indexed citations

16.

Nakayama, Kotaro, Takahiro Hara, & Shojiro Nishio. (2008). Wikipedia Link Structure and Text Mining for Semantic Relation Extraction.. 59–73. 15 indexed citations

17.

Nakayama, Kotaro, et al.. (2008). Extraction of Bilingual Terminology from a Multilingual Web-based Encyclopedia. Journal of Information Processing. 16. 68–79. 11 indexed citations

18.

Ito, Masahiro, Kotaro Nakayama, Takahiro Hara, & Shojiro Nishio. (2008). Association thesaurus construction methods based on link co-occurrence analysis for wikipedia. 817–826. 26 indexed citations

19.

Nakayama, Kotaro, et al.. (2007). Wikipedia Link Structure Analysis for Extracting Bilingual Terminology. IEICE Technical Report; IEICE Tech. Rep.. 107(131). 551–556. 2 indexed citations

20.

Nakayama, Kotaro, Takahiro Hara, & Shojiro Nishio. (2005). Hybrid Web Mining for RDF. IPSJ SIG Notes. 2005(68). 381–387.

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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