MICCAI 2021 : Medical Image Computing and Computer Assisted Intervention (MICCAI)

This page presents a comprehensive ranking of scientific conferences in the field of Engineering and Technology, meticulously curated by the experts at Research.com. As one of the leading websites for science research, Research.com has been providing trusted data on scientific contributions across all major fields, including Engineering and Technology, since 2014.

The position of each conference in this ranking is determined by a unique bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in the conference over the past three years. The result is an objective measure that reflects both the scientific impact and the involvement of top experts in the field.

The Impact Score values listed in this ranking were collected on 2024-11-27, ensuring the most recent and relevant data is represented. The process leading to this ranking was methodical and rigorous. Our evaluation encompassed more than 2,262 conferences, each selected following an in-depth review. This process involved the careful analysis of over 26,934 scientific documents, all published within the last three years, authored by 9,385 leading and highly regarded scientists in Engineering and Technology.

We invite you to explore the full details of our ranking methodology, including the criteria and bibliometric techniques applied, by visiting our Methodology Page.

Papers citation over time

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.

Top authors and change over time

The top authors publishing at Medical Image Computing and Computer-Assisted Intervention (based on the number of publications) are:

• Dinggang Shen (204 papers) published 27 papers at the last edition, 7 less than at the previous edition,
• Nassir Navab (91 papers) published 14 papers at the last edition, 3 more than at the previous edition,
• Daniel Rueckert (70 papers) published 19 papers at the last edition, 12 more than at the previous edition,
• Sebastien Ourselin (67 papers) published 15 papers at the last edition, 9 more than at the previous edition,
• Pew Thian Yap (55 papers) published 5 papers at the last edition, 5 less than at the previous edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Medical Image Computing and Computer-Assisted Intervention (based on the number of publications) are:

• University of North Carolina at Chapel Hill (252 papers) published 33 papers at the last edition, 6 less than at the previous edition,
• Imperial College London (135 papers) published 30 papers at the last edition, 11 more than at the previous edition,
• Siemens (123 papers) published 15 papers at the last edition, 4 more than at the previous edition,
• Johns Hopkins University (121 papers) published 22 papers at the last edition the same number as at the previous edition,
• University College London (117 papers) published 21 papers at the last edition, 3 more than at the previous edition.

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.

Publication chance based on affiliation

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, 2.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.13% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.03% of all publications and 37.47% were from other institutions.

Returning Authors Index

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.

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 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:

• 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.

Career Opportunities and Pathways in the Field

While gaining insights about research, it is also worth exploring potential career paths and opportunities that Interdisciplinary scientific fields like medical image computing and computer-assisted intervention has to offer. One such promising and related career path is that of a speech-language pathologist which intersects with artificial intelligence and pattern recognition, two of the top topics at the conference. As a real-world application, artificial intelligence can be utilized by speech therapists to develop personalized therapy plans for children and adults dealing with communicative disorders. Computer-assisted interventions and pattern recognition, on the other hand, have shown promising results in increasing efficiency and accuracy in diagnosing and treating speech-related disorders. If you're based in Minnesota or considering relocating, and wish to explore this fulfilling career further, you might find it useful to refer to this comprehensive guide on how to be a speech therapist in Minnesota. The guide provides detailed instructions on how to launch your career as a speech-language pathologist, from the training and degrees you need to the licensure and certification requirements in Minnesota. Ultimately, leveraging advancements from interdisciplinary fields like those discussed at the Medical Image Computing and Computer-Assisted Intervention conference can open up innovative prospects and pathways for healthcare professionals who are in the quest of providing the best possible patient care.