IEEE Transactions on Haptics

Top Research Topics at IEEE Transactions on Haptics?

The journal facilitates discussions on Haptic technology, Artificial intelligence, Computer vision, Simulation and Human–computer interaction. The research on Haptic technology tackled can also make contributions to studies in the areas of Perception, Actuator, Robot, Rendering (computer graphics) and Visualization. Actuator study tackled is connected to the field of Acoustics.

Research on Acoustics addressed in IEEE Transactions on Haptics frequently intersections with the field of Amplitude. The studies in Artificial intelligence featured incorporate elements of Stimulus (physiology) and Psychophysics. The work on Computer vision tackled in IEEE Transactions on Haptics brings together disciplines like Touch Perception, Sensory system, Sensory cue, Illusion and Contact force.

Vibration, Torque, Teleoperation, Stiffness and Virtual reality are some topics wherein Simulation research discussed in IEEE Transactions on Haptics have an impact. The Torque research presented falls under the domain of Control theory. Issues in Human–computer interaction were discussed, taking into consideration concepts from other disciplines like Multimedia and Task analysis.

• Haptic technology (64.28%)
• Artificial intelligence (34.60%)
• Computer vision (29.40%)

What are the most cited papers published in the journal?

• The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art (324 citations)
• Noncontact Tactile Display Based on Radiation Pressure of Airborne Ultrasound (298 citations)
• Wearable Haptic Systems for the Fingertip and the Hand: Taxonomy, Review, and Perspectives (258 citations)

Research areas of the most cited articles at IEEE Transactions on Haptics:

The journal papers tackle a plethora of topics, such as Haptic technology, Artificial intelligence, Computer vision, Simulation and Human–computer interaction. The most cited publications focus on Haptic technology but the discussions also offer insight into other areas such as Augmented reality, Multimedia, Teleoperation, Virtual reality and Rendering (computer graphics). The most cited publications tackle studies in Surface roughness and the interrelated subject of Surface finish to gain insights into Artificial intelligence.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Mechanical engineering
• Electrical engineering

The previous edition focused in particular on these issues:

The journal tackles a plethora of topics, such as Haptic technology, Human–computer interaction, Task analysis, Artificial intelligence and Visualization. The Haptic technology research discussed is included in the broader subject of Simulation. It focuses on Simulation but the discussions also offer insight into other areas such as Grip force, Torque and Teleoperation.

The journal holds forums on Human–computer interaction that merges themes from other disciplines such as Haptic communication, Kinematics, Obstacle avoidance and Gesture. The study of Cognitive psychology and how it intertwines with concepts under Cognition were explored in the presented Task analysis research. The study of Artificial intelligence encompasses disciplines such as Computer vision, as well as fields such as Sensory cue, all of which overlap with one another.

The most cited articles from the last journal are:

• A Survey of Mid-Air Ultrasound Haptics and Its Applications (18 citations)
• A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device (6 citations)
• Syntacts: Open-Source Software and Hardware for Audio-Controlled Haptics (6 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in IEEE Transactions on Haptics (based on the number of publications) are:

• Seungmoon Choi (24 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Domenico Prattichizzo (23 papers) published 2 papers at the last edition the same number as at the previous edition,
• Hong Z. Tan (22 papers) published 2 papers at the last edition the same number as at the previous edition,
• Cagatay Basdogan (21 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Dangxiao Wang (20 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Transactions on Haptics (based on the number of publications) are:

• Northwestern University (25 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Stanford University (24 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Pohang University of Science and Technology (23 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Massachusetts Institute of Technology (21 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• University of Siena (21 papers) published 2 papers at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 7.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 21.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.81% of all publications and 24.73% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Potential Applications of Research Topics

Understanding the applied aspect of these research studies, beyond academic interest, can often provide a more meaningful view of the subject matter. For example, advancements in Haptic technology and Artificial intelligence are being pursued not just for the sake of gaining knowledge but to contribute to other significant areas like education and healthcare. Considering the relevance of the discussed research topics to various fields, it's critical to touch on potential practical applications. Broadly, Haptic technology is revolutionizing how humans interact with digital interfaces. From virtual reality interfaces that allow users to 'touch' virtual objects, to wearable devices that use vibrations to convey notifications, the technology finds applications in various domains. Similarly, innovations in Artificial intelligence and Computer Vision have widespread implications for sectors like technology, healthcare, and finance. More specifically, one area where these fields intersect interestingly is in education. Cutting-edge technologies are enhancing traditional modes of education, bringing about innovative teaching methods that are dynamic and interactive, and can be significantly more impactful. For instance, AI-enabled systems can automatically tailor learning experiences according to a student's pace and understanding, while tactile technologies can enable hands-on learning in a virtual environment. This interplay of technology and education flows into the realm of teaching credentials — an area that is witnessing an overhaul in the wake of these advancements. To learn more about this, you can explore various teaching credential programs in Arkansas. In conclusion, the research topics presented in the IEEE Transactions on Haptics journal have important implications beyond academia. They have the potential to significantly reshape sectors like education, healthcare, and technology, among others. It is necessary to keep the broader view in mind to grasp the full impact of these research dialogues.