Journal profile

IEEE transactions on haptics

Publisher: IEEE Computer Society
ISSN1939-1412 | 2329-4051 FormatPrint StatusCurrently indexed

Journal Citation Impact

Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.

Impact Factor
3.57
Citation rate 3.48 717 total citations
h5-index 29 h5 depth signal
Cited share 81.7% 174 of 213
Total citations 717 Citation footprint
Metric signal 2.67 External metric anchor
Self-citation 8.4% 60 self-citations

Citations Trend

Monthly Publications Cadence

Citing Geographic Demographics

United States 172
Japan 104
Germany 76
China 69
France 64

Citing Fields of Research

Robotics 338
Human-Machine Interaction 286
Postural Control 252
Neurosciences 198
Computer Vision & Graphics 45

Publishing Activity & Reach

Volume, recency, access pattern, and citing-community signals from the journal analytics record.

All-time article footprint 960 Articles tracked across the journal lifetime
Indexed publication set 213 174 cited publications
Last 12 months 112 11.2 publications/month
Open access share 23.2% 26 OA publications in the last year
Leading citing country United States 172 citing publications
Leading citing field Robotics 338 citing publications
Latest tracked publication 1 July 2026 10 recent records available

Coverage & Indexing History

MEDLINE
v6n1, Jan-Mar 2013-
PubMed
v6n1, Jan-Mar 2013- ; selected citations only before this date

Research Focus & Classification

Indexed Subjects

Robotics Human-Machine Interaction Postural Control Neurosciences

Issuing & Sponsoring Bodies

Contributor
IEEE Computer Society
Contributor
Institute of Electrical and Electronics Engineers
Contributor
IEEE Robotics and Automation Society
Contributor
IEEE Consumer Electronics Society

Broad Categories

Biomedical Engineering Psychology Neurosciences Postural Control Robotics

MeSH Descriptors

Robotics. Touch User-Computer Interface

Latest Publications

Recent article records with DOI-first linking and condensed abstracts.

06
Xuanxuan Yang, Xiuyang Zhang, Haofeng Chen et al.
Electrical impedance tomography (EIT) provides an attractive solution for large-area tactile sensing due to its minimal wiring and geometric flexibility, but its nonlinear inverse problem often leads to severe artifacts and inaccurate re...
07
Meike Heldoorn, Astrid M.L. Kappers, Myrthe A. Plaisier
Relief based tactile refreshable displays that are currently on the market are composed of pixel-based elements. While current devices mainly focus on making text accessible by raising pixels, some are capable of displaying tactile image...
08
Daiki Hagimori, Yuki Yamada, Hiroki Zukawa
Self-Haptics is a tactile feedback technique where users utilize their own body to generate tactile sensations. This method allows the body to act purely as a prop, making it useful for virtual objects and user interfaces not directly re...
09
Tom Roy, Yann Glemarec, Gurvan Lecuyer et al.
Haptic technology enhances interactive experiences by providing force and tactile feedback, improving user performance and immersion. However, despite advancements, creating tactile experiences still remains challenging due to device div...

Bibliographical & Catalog Notes

Description based on: Vol. 1, no. 1 (Jan./June 2008); title from cover.

Also issued online.