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IEEE

The 12th Annual IEEE Signal Processing in Medicine and Biology Symposium (SPMB22) (SPMB)

Location: Philadelphia , United States

Conference dates: 12/3/2022 - 12/3/2022

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 791 6 9 2
Medicine 108 3 2 1
Computer Science 474 14 35 8
Neuroscience 18 9 8 3

Call for Papers

Papers of general interest to the disciplines of signal processing and bioengineering are welcome, particularly those in emerging areas such deep learning and big data. Papers have been indexed in IEEE Xplore (https://ieeexplore.ieee.org/). Selected full papers will be invited to be published as a book chapter in an ebook produced by Springer.

Paper/Abstract Submission:
Presenters may choose to submit to one of two peer-reviewed tracks:
(1) Paper: An original four to six-page paper for oral presentation.
(2) Poster: A short abstract (one-page min.) that will be presented as a poster.

All papers and abstracts will be submitted to IEEE Xplore for indexing (search for “IEEE SPMB” to find past conferences). Papers/abstracts can be submitted via email to [email protected].

Contributions must follow the approved conference formats (see guidelines https://www.isip.piconepress.com/conferences/ieee_spmb/2022/forms/templates/).

Videos of your presentations will also be archived online. Final poster submissions include a copy of the poster.

Important Dates:
Paper Submission: July 1, 2022
Notification: Sep. 1, 2022
Paper Revisions: Oct. 1, 2022
Early Registration: Nov. 1, 2022
Final Program: Dec. 4, 2022

Overview

This ranking presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously curated to assist researchers, academics, and professionals in identifying the most impactful venues in the discipline. The ranking has been developed by Research.com, renowned since 2014 as one of the leading platforms for science research across all major fields. Research.com is recognized for providing trusted and authoritative data on scientific contributions and impact within the global research community.

Conference positions within this ranking are determined by a unique bibliometric score, exclusively formulated by Research.com. The score is computed by considering both the estimated h-index and the number of leading scientists who have contributed to each conference over the last three years. This dual-factor approach ensures that the ranking accurately reflects the scientific influence, reputation, and reach of each conference venue.

Impact Score values reported in this edition were gathered on 2024-11-27. The evaluation process was both rigorous and extensive: more than 2,742 conferences were carefully selected following a detailed review and assessment of 148,739 scientific documents published in the preceding three years by 13,184 preeminent and respected scientists in the Computer Science domain. This exhaustive methodology underscores the depth of analysis and the expertise involved in preparing the ranking, demonstrating a steadfast commitment to objectivity and academic excellence.

For comprehensive information on the methodology and criteria used in the computation of the ranking scores, please refer to 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 IEEE Signal Processing in Medicine and Biology Symposium (based on the number of publications) are:

  • Iyad Obeid (31 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Joseph Picone (27 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Hansen A. Mansy (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Yao Wang (12 papers) absent at the last edition,
  • Ivan Selesnick (11 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 IEEE Signal Processing in Medicine and Biology Symposium (based on the number of publications) are:

  • Temple University (55 papers) published 8 papers at the last edition, 1 more than at the previous edition,
  • New York University (23 papers) absent at the last edition,
  • University of Central Florida (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Rutgers University (13 papers) absent at the last edition,
  • Florida International University (10 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 2020 edition, 8.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.35% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 44.12% 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 Signal Processing and Biomedical Research

In the rapidly developing fields of signal processing and biomedical research, diverse career pathways are now emerging. These careers often leverage the often interconnected domains of artificial intelligence, pattern recognition, and electroencephalography, combining these with an understanding of medicine, biology, and healthcare.

For example, a Speech-Language Pathologist applies scientific principles to evaluate, diagnose, and treat individuals suffering from difficulties in communication, cognitive aspects of communication, swallowing, or other upper aerodigestive functions. They often need expertise in speech recognition technologies, entities closely studied and developed in conferences such as the IEEE Signal Processing in Medicine and Biology Symposium. To understand in detail about the prerequisites, qualifications and the roadmap to becoming a Speech-Language Pathologist in Maryland, you can visit this link.

With the growth in artificial intelligence and machine learning, research and development roles in these fields are becoming increasingly popular. These roles often involve developing new computational methodologies or improving the existing ones to understand and interpret the biology's complexity. Signal processing and biomedical research also have strong implications in the development of devices and machines that aid healthcare professionals in diagnosing and treating health conditions. With this increasing demand for such roles, it is not surprising that an increasing number of researchers and professionals attend conferences such as the IEEE Signal Processing in Medicine and Biology Symposium.

Therefore, as researchers and scientists, it is essential to keep abreast of the career opportunities and requirements in this rapidly evolving field. This will not only boost their career prospects but also contribute significantly to their field of research.

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