Hiroki Nomiya

680 total citations
127 papers, 371 citations indexed

About

Hiroki Nomiya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hiroki Nomiya has authored 127 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 32 papers in Signal Processing. Recurrent topics in Hiroki Nomiya's work include Video Analysis and Summarization (26 papers), Expert finding and Q&A systems (19 papers) and Data Management and Algorithms (17 papers). Hiroki Nomiya is often cited by papers focused on Video Analysis and Summarization (26 papers), Expert finding and Q&A systems (19 papers) and Data Management and Algorithms (17 papers). Hiroki Nomiya collaborates with scholars based in Japan and United States. Hiroki Nomiya's co-authors include Teruhisa Hochin, Kuniaki Uehara, Kazuhiro Seki, H. Nakanishi, Masayuki NAKAMURA, Kazumasa Fukuda, Tatsuo Okauchi, Midori Ogawa, Hatsumi Taniguchi and Hiroyuki Morii and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Hiroki Nomiya

105 papers receiving 360 citations

Peers

Hiroki Nomiya
Teruhisa Hochin Japan
Dante Augusto Couto Barone Brazil
Liangyue Li United States
Eric Neufeld Canada
Eirini Ntoutsi Germany
Hassan Kazemian United Kingdom
Heidi Lam Canada
Mounir Zrigui Tunisia
Zach Jorgensen United States
Sohaib Ghani United States
Teruhisa Hochin Japan
Hiroki Nomiya
Citations per year, relative to Hiroki Nomiya Hiroki Nomiya (= 1×) peers Teruhisa Hochin

Countries citing papers authored by Hiroki Nomiya

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Nomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Nomiya

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Nomiya. A scholar is included among the top collaborators of Hiroki Nomiya 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 Hiroki Nomiya. Hiroki Nomiya 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.
Nomiya, Hiroki, et al.. (2025). An Artificial Intelligence Model for Sensing Affective Valence and Arousal from Facial Images. Sensors. 25(4). 1188–1188. 1 indexed citations
2.
Namba, Shushi, et al.. (2023). Development of the RIKEN database for dynamic facial expressions with multiple angles. Scientific Reports. 13(1). 21785–21785. 2 indexed citations
3.
4.
Hochin, Teruhisa, et al.. (2022). Using 4-gram to Obtain Factor Scores of Japanese Statements Posted at Q&A Sites. 25–31. 3 indexed citations
5.
6.
Hochin, Teruhisa, et al.. (2019). Quantitative Evaluation of Potential Tendency Differences between English and Japanese in Detecting Appropriate Respondents at Q&A Sites. International Journal of Affective Engineering. 18(3). 145–154. 3 indexed citations
7.
Hochin, Teruhisa, et al.. (2019). Integrated Usage between Relational DBs and NoSQL DB. 244–249. 2 indexed citations
8.
Hochin, Teruhisa, et al.. (2018). Incremental Clustering for Hierarchical Clustering. 102–107. 2 indexed citations
9.
Nomiya, Hiroki, et al.. (2018). Detection of Dangerous Behavior by Estimation of Head Pose and Moving Direction. 112. 121–126. 2 indexed citations
10.
Nakagawa, Shota, Teruhisa Hochin, Hiroki Nomiya, & H. Nakanishi. (2018). Estimation of Plasma Emission Transition Using Hidden Markov Model. Plasma and Fusion Research. 13(0). 3405117–3405117. 2 indexed citations
11.
Nakanishi, H., et al.. (2017). Revised similarity retrieval method of plasma emission videos and its evaluation. 82. 575–580. 1 indexed citations
12.
Hochin, Teruhisa, et al.. (2016). Searching optimal movements in multi-player games with imperfect information. 1–6. 4 indexed citations
13.
Hochin, Teruhisa & Hiroki Nomiya. (2016). Class-Based Generalization and Class-Based Specialization. 2(2). 37–46.
14.
Nomiya, Hiroki, et al.. (2016). Recognition and Intensity Estimation of Facial Expression Using Ensemble Classifiers. ˜The œInternational journal of networked and distributed computing. 4(4). 203–203. 3 indexed citations
15.
Watanabe, Yuya, Teruhisa Hochin, & Hiroki Nomiya. (2016). Method of similarity retrieval of color videos based on impressions. 1–6. 1 indexed citations
16.
17.
Nomiya, Hiroki, et al.. (2013). Unsupervised Emotional Scene Detection from Lifelog Videos Using Cluster Ensembles. International Journal of Software Innovation. 1(4). 1–15. 1 indexed citations
18.
Hochin, Teruhisa & Hiroki Nomiya. (2013). Inner Specialization and Generalization in Semantic Specialization and Generalization. 7. 349–354. 4 indexed citations
19.
Takeda, Yoshikazu, et al.. (2011). On the Dissimilarity of Videos Considering Visibility for Similarity Retrieval of Plasma Videos. 111(76). 31–36. 2 indexed citations
20.
Hochin, Teruhisa, et al.. (2010). Indexing of plasma waveforms for accelerating search and retrieval of their subsequences. Fusion Engineering and Design. 85(5). 649–654. 7 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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