Roberto Legaspi

549 total citations
46 papers, 292 citations indexed

About

Roberto Legaspi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Roberto Legaspi has authored 46 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Cognitive Neuroscience. Recurrent topics in Roberto Legaspi's work include Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (7 papers) and Innovative Teaching and Learning Methods (7 papers). Roberto Legaspi is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (7 papers) and Innovative Teaching and Learning Methods (7 papers). Roberto Legaspi collaborates with scholars based in Japan, Philippines and United States. Roberto Legaspi's co-authors include Masayuki Numao, Taro Toyoizumi, Koichi Moriyama, Paul Salvador Inventado, Satoshi Kurihara, Ken–ichi Fukui, Shinya Wada, Nao Kobayashi, Hiroshi Maruyama and Yasushi Naruse and has published in prestigious journals such as Nature Communications, IEEE Access and Frontiers in Psychology.

In The Last Decade

Roberto Legaspi

41 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Legaspi Japan 9 128 69 66 51 41 46 292
Juan Miguel López Spain 9 51 0.4× 55 0.8× 64 1.0× 27 0.5× 31 0.8× 35 250
Frédéric Dandurand Canada 9 94 0.7× 70 1.0× 49 0.7× 35 0.7× 21 0.5× 28 305
Janne Kauttonen Finland 12 133 1.0× 52 0.8× 102 1.5× 54 1.1× 61 1.5× 29 364
Manuela Züger Switzerland 5 120 0.9× 48 0.7× 55 0.8× 69 1.4× 32 0.8× 6 356
Γεώργιος Κουρουπέτρογλου Greece 10 115 0.9× 92 1.3× 31 0.5× 34 0.7× 42 1.0× 71 359
Mauri Kaipainen Finland 10 89 0.7× 73 1.1× 13 0.2× 47 0.9× 33 0.8× 38 251
Md. Iftekhar Tanveer United States 9 40 0.3× 106 1.5× 60 0.9× 101 2.0× 49 1.2× 11 329
Alessandro Cappelletti Italy 10 47 0.4× 121 1.8× 103 1.6× 115 2.3× 92 2.2× 19 423
Neil Mayo United Kingdom 6 100 0.8× 247 3.6× 150 2.3× 33 0.6× 29 0.7× 10 458
Paul Bello United States 12 157 1.2× 199 2.9× 36 0.5× 60 1.2× 33 0.8× 53 445

Countries citing papers authored by Roberto Legaspi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Legaspi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Legaspi

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Legaspi. A scholar is included among the top collaborators of Roberto Legaspi 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 Roberto Legaspi. Roberto Legaspi 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.
Legaspi, Roberto, et al.. (2024). Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. 11224–11249. 3 indexed citations
2.
Legaspi, Roberto, et al.. (2024). The sense of agency in human–AI interactions. Knowledge-Based Systems. 286. 111298–111298. 19 indexed citations
3.
4.
Legaspi, Roberto, et al.. (2024). Measuring general sense of agency: a Japanese adaptation and validation of the sense of agency scale (J-SoAS). Frontiers in Psychology. 15. 1427169–1427169.
5.
Legaspi, Roberto, et al.. (2024). Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. Journal of Ambient Intelligence and Smart Environments. 16(3). 275–308.
6.
Kobayashi, Akihiro, et al.. (2023). Composing Groups in Collaborative Learning by Pair Personality Differences. 116–123. 2 indexed citations
7.
8.
Kojima, Ryoichi, Roberto Legaspi, & Shinya Wada. (2022). Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. 2022 IEEE International Conference on Big Data (Big Data). 7. 6547–6552. 1 indexed citations
9.
Legaspi, Roberto & Taro Toyoizumi. (2019). A Bayesian psychophysics model of sense of agency. Nature Communications. 10(1). 4250–4250. 48 indexed citations
10.
Legaspi, Roberto, et al.. (2016). Solving the Difficult Problem of Topic Extraction in Thai Tweets. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 8(6). 141–145. 1 indexed citations
11.
Minami, Kazuhiro, et al.. (2014). Evaluating the sustainability of an ecological system based on evolutionary multi-agent simulations. 1–8. 1 indexed citations
12.
Maruyama, Hiroshi, Roberto Legaspi, Kazuhiro Minami, & Yoshiki Yamagata. (2014). General resilience: Taxonomy and strategies. 1–8. 8 indexed citations
13.
Inventado, Paul Salvador, et al.. (2013). An analysis of affective state transitions in survival horror game with the aid of player self-reports and physiological signals. 27. 1–6.
14.
Legaspi, Roberto, et al.. (2013). Discovering Emotion-Inducing Music Features Using EEG Signals. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(3). 362–370. 5 indexed citations
15.
Inventado, Paul Salvador, et al.. (2013). Modeling affect in student-driven learning scenarios. 244–247. 1 indexed citations
16.
Legaspi, Roberto, et al.. (2012). A Model for Sitting Postures in relation to Learning and Non-learning Behaviors. 26.
17.
Inventado, Paul Salvador, et al.. (2012). Student Learning Behavior in an Unsupervised Learning Environment. International Conference on Computers in Education. 8 indexed citations
18.
Inventado, Paul Salvador, et al.. (2011). Investigating the transitions between learning and non-learning activities as students learn online. Educational Data Mining. 367–368. 1 indexed citations
19.
20.
Inventado, Paul Salvador, et al.. (2010). Predicting Student’s Appraisal of Feedback in an ITS Using Previous Affective States and Continuous Affect Labels from EEG Data. International Conference on Computers in Education. 12 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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