Location: Stockholm , Sweden
Conference dates: 3/13/2023 - 3/16/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 81 | 27 | 78 | 13 |
| Computer Science | 74 | 135 | 363 | 28 |
| Social Sciences and Humanities | 17 | 6 | 6 | 4 |
| Psychology | 4 | 16 | 20 | 9 |
This comprehensive ranking presents the leading scientific conferences in the field of Psychology, rigorously curated by Research.com, recognized as one of the foremost platforms for science research across all major academic disciplines. Since 2014, Research.com has been committed to providing reliable and transparent data on scholarly contributions, serving as a trusted resource for both scholars and institutions alike.
The position of each conference in this ranking is determined by an exclusive bibliometric score developed by Research.com. This proprietary metric considers both the estimated h-index and the number of prominent scientists who have participated in the conference over the past three years, ensuring a robust and transparent evaluation of each event’s academic influence.
Impact Score values incorporated in the ranking were obtained as of 2024-11-27. The underlying analysis for this ranking was based on a systematic investigation of more than 377 conferences, which were carefully selected following a thorough and critical review of over 871 scientific documents published within the last three years. These documents represent the scholarly output of 10,697 leading and widely respected experts in the discipline of Psychology, reflecting the considerable depth and scope involved in the compilation of this ranking.
The methodology behind this ranking reflects a meticulous process designed to ensure accuracy, reliability, and objectivity. For comprehensive details regarding the calculation of the bibliometric scores and further insight into the ranking process, please refer to our Methodology Page.
A key indicator for each conference 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.
The top authors publishing at Human-Robot Interaction (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at Human-Robot Interaction (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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 2018 edition, 5.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.10% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.01% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.06% of all publications and 52.83% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference in relation to all participants in a given year.
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.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, 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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
A frequently neglected aspect in discussing about research in human-robot interaction is the professional pathway treaded by the researchers engaged in the field. Majority of the fields' professionals hold doctorates with backgrounds in psychology, computer science, engineering, or related disciplines. Before embarking on their research careers, many have also garnered professional experience in their respective fields. A crucial stepping-stone for a career in human-robot interaction research is the pursuit of relevant education and training. For instance, let's take the example of a school psychologist. The education and training journey for a professional in this human interaction field usually includes a bachelor's degree in psychology, education, or a related field, followed by a master's or PhD in school psychology. Additionally, they also gain hands-on skills from an internship or practicum, and finally obtain a certification or licence to practice. More detailed information about school psychologist education requirements in Oklahoma can be found on our dedicated page. The pathway for a researcher in human-robot interaction is not far from this. Due to the interdisciplinary nature of the field, a number of diverse educational routes can lead towards a rewarding research career in human-robot interaction. These can include bachelor's degrees in fields such as computer science, psychology, engineering, or a combination of these, eventually leading to specialized post-graduate programs and doctorates in human-robot interaction. As the field continues to grow, many institutions are now offering specialized graduate programs specifically in human-robot interaction. In conclusion, no matter which route potential researchers may choose, a solid foundation in their chosen discipline, curiosity and the willingness to engage with the evolving technological and psychological advancements in the field are pivotal for a successful career in human-robot interaction research.
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