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IEEE

2022 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference (NSS/MIC)

Location: Milano , Italy

Submission deadline: 5/5/2022

Conference dates: 11/5/2022 - 11/12/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Materials Science 67 55 76 3
Electronics and Electrical Engineering 586 26 52 3
Engineering and Technology 154 27 75 4
Medicine 34 35 67 4

Call for Papers

The IEEE NSS-MIC-RTSD is a unique meeting in the field of radiation detectors and instrumentation, with a broad range of applications, fields of study and experiences of the attendees and presenters – academics, engineers, medical physicists, and physicians. The synergy created by the joining of the NSS, MIC and RTSD offers a networking potential to boost your scientific creativity, to exchange ideas, share and create knowledge in the radiation detector and electronics technology, nuclear science, medical imaging, environmental monitoring and space exploration fields.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Engineering and Technology, reflecting a rigorous and data-driven approach to identifying the most influential venues in the domain. The analysis and ranking have been prepared by Research.com, recognized as one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has been a trusted source for reliable data on scientific contributions, offering unparalleled insights into the progress and impact of research communities worldwide.

Conference positions in this ranking are determined using a unique bibliometric score, meticulously created by the experts at Research.com. This score leverages a combination of the estimated h-index and the number of leading scientists who have participated in each conference over the past three years, providing a multifaceted and objective measure of conference impact and prominence within the Engineering and Technology sector. The Impact Score values featured in this edition of the ranking were gathered on 2024-11-27 to ensure the most current and relevant evaluation.

The ranking process was both extensive and thorough, involving the assessment of more than 2,262 scientific conferences. These conferences were carefully shortlisted following a detailed inspection and rigorous examination of over 26,934 scientific documents published in the last three years by 9,385 renowned and highly respected scientists in the area of Engineering and Technology. This comprehensive methodology underscores the depth of research and the complexity of the analyses conducted by the Research.com team, aimed at delivering a truly authoritative ranking for the scientific community.

For additional insights and a detailed explanation of the methodology underpinning the computation of the ranking scores, please visit 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.

The top authors publishing at Nuclear Science Symposium and Medical Imaging Conference (based on the number of publications) are:

  • Craig S. Levin (131 papers) absent at the last edition,
  • Michael A. King (92 papers) absent at the last edition,
  • Carlo Fiorini (91 papers) absent at the last edition,
  • Taiga Yamaya (77 papers) absent at the last edition,
  • Eiji Yoshida (70 papers) absent at the last 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at Nuclear Science Symposium and Medical Imaging Conference (based on the number of publications) are:

  • Tsinghua University (267 papers) absent at the last edition,
  • CERN (255 papers) absent at the last edition,
  • University of Michigan (245 papers) absent at the last edition,
  • Polytechnic University of Milan (215 papers) absent at the last edition,
  • Lawrence Berkeley National Laboratory (206 papers) absent at the last 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 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% 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.

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