International Journal of Humanoid Robotics

Aims & Scope

The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots.

It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings.

While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics.

Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot.

IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	0.90

Journal Rank

Year	Value
2024	15364

Journal Citation Indicator

Year	Value
2024	244

SJR (SCImago Journal Rank)

Year	Value
2024	0.342

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	44

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• ZERO-MOMENT POINT — THIRTY FIVE YEARS OF ITS LIFE

  Citation: 1617

  Authors: MIOMIR, BRANISLAV

• HUMAN–ROBOT COLLABORATION: A SURVEY

  Citation: 373

  Authors: ANDREA, DIRK, MARTIN

• A QUASI-PASSIVE LEG EXOSKELETON FOR LOAD-CARRYING AUGMENTATION

  Citation: 360

  Authors: CONOR JAMES, KEN, HUGH

• SYNTHESIS OF WHOLE-BODY BEHAVIORS THROUGH HIERARCHICAL CONTROL OF BEHAVIORAL PRIMITIVES

  Citation: 330

  Authors: LUIS, OUSSAMA

• WHOLE-BODY DYNAMIC BEHAVIOR AND CONTROL OF HUMAN-LIKE ROBOTS

  Citation: 237

  Authors: O., L., J., J.

• WHO IS AFRAID OF THE HUMANOID? INVESTIGATING CULTURAL DIFFERENCES IN THE ACCEPTANCE OF ROBOTS

  Citation: 221

  Authors: FRÉDÉRIC

• Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas

  Citation: 209

  Authors: Twan, Sylvain, Gray, Tomas, Tingfan, Jesper, Johannes, Jerry

• A PHYSIOLOGIST'S PERSPECTIVE ON ROBOTIC EXOSKELETONS FOR HUMAN LOCOMOTION

  Citation: 141

  Authors: DANIEL P., GREGORY S., MONICA A.

• Employing Humanoid Robots for Teaching English Language in Iranian Junior High-Schools

  Citation: 136

  Authors: Minoo, Ali, Maryam

• DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTS

  Citation: 105

  Authors: JUYANG

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