Bibliometric Research in the Field of Robotics

DOI

10.2991/978-94-6463-736-6_37How to use a DOI?

Keywords

Bibliometric; robotics; research topic

Abstract

This article analyzes the research trends and hot topics in global robotics research in the past decade from the perspective of bibliometrics. From the perspective of publication trends, the data of research papers published in the global robotics field from 2015 to 2024 shows significant volatility in this field. 2015 was a milestone in the development of robotics research, followed by periodic fluctuations. The total number of papers in mainland China ranks first, but the proportion of highly cited papers is low, reflecting the characteristics of “large scale and weak quality”. In terms of research direction, there are six core research themes, including the intelligence and interaction of robot systems, reinforcement learning and deep learning technologies, which reveal the characteristics of interdisciplinary and technological integration in the field.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wenyan Tu
AU  - Dunkui Chen
AU  - Fangyu Jiao
PY  - 2025
DA  - 2025/05/22
TI  - Bibliometric Research in the Field of Robotics
BT  - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
PB  - Atlantis Press
SP  - 319
EP  - 329
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-736-6_37
DO  - 10.2991/978-94-6463-736-6_37
ID  - Tu2025
ER  -