Jun Baba

82 total papers · 547 total citations
49 papers, 324 citations indexed

About

Jun Baba is a scholar working on Social Psychology, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jun Baba has authored 49 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Social Psychology, 30 papers in Artificial Intelligence and 13 papers in Control and Systems Engineering. Recurrent topics in Jun Baba's work include Social Robot Interaction and HRI (36 papers), AI in Service Interactions (26 papers) and Robotics and Automated Systems (12 papers). Jun Baba is often cited by papers focused on Social Robot Interaction and HRI (36 papers), AI in Service Interactions (26 papers) and Robotics and Automated Systems (12 papers). Jun Baba collaborates with scholars based in Japan, United States and China. Jun Baba's co-authors include Hiroshi Ishiguro, Junya Nakanishi, Yuichiro Yoshikawa, Kohei Ogawa, Sichao Song, Zhaojie Luo, Takuya Iwamoto, Rui Liu, Takanori Maehara and Guoshun Nan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Robotics and Automation Letters and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Jun Baba

37 papers receiving 305 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jun Baba	197	196	53	50	36	49	324
Moojan Ghafurian	88 0.4×	101 0.5×	53 1.0×	22 0.4×	25 0.7×	45	333
Antonio Andriella	150 0.8×	141 0.7×	55 1.0×	21 0.4×	21 0.6×	31	256
Joseph E. Michaelis	135 0.7×	151 0.8×	23 0.4×	39 0.8×	83 2.3×	22	354
Samantha Reig	150 0.8×	227 1.2×	37 0.7×	18 0.4×	107 3.0×	21	345
Stela H. Seo	96 0.5×	224 1.1×	46 0.9×	40 0.8×	89 2.5×	25	342
Ruth Stock‐Homburg	74 0.4×	118 0.6×	25 0.5×	31 0.6×	24 0.7×	29	238
Norihisa Miyake	107 0.5×	83 0.4×	25 0.5×	39 0.8×	44 1.2×	25	276
Da Young Ju	185 0.9×	68 0.3×	22 0.4×	11 0.2×	26 0.7×	40	348
Robert Porzel	217 1.1×	58 0.3×	21 0.4×	16 0.3×	45 1.3×	47	294
Alexander Mois Aroyo	111 0.6×	164 0.8×	50 0.9×	39 0.8×	22 0.6×	17	298

Countries citing papers authored by Jun Baba

Since Specialization

Citations

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

Fields of papers citing papers by Jun Baba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Baba

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

All Works

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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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