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Computing in Cardiology Conference

Computing in Cardiology Conference

Tampere , Finland

Conference Dates: Sep 04, 2022 - Sep 07, 2022

Research
Impact Score 0.90

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.90
Contributing Best Scientists: 10
H5-index:
Papers published by Best Scientists 12
Research Ranking (Computer Science) 506
Research Ranking (Medicine) 34

Conference Call for Papers

in Cardiology) is an international scientific conference that has been held annually since 1974. CinC provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

Overview

Top Research Topics at Computing in Cardiology Conference?

  • Internal medicine (37.28%)
  • Cardiology (36.29%)
  • Electrocardiography (24.28%)

The conference covers a variety of subjects, including Internal medicine, Cardiology, Electrocardiography, Artificial intelligence and Pattern recognition. Discussions in the conference are anchored in the subject of Internal medicine and the similar topic of Anesthesia. The presented Cardiology study covers related areas such as Hemodynamics, Myocardial infarction and Heart failure and also touches on topics like In patient.

In addition to Electrocardiography research, Computing in Cardiology Conference aims to explore topics under Remote patient monitoring, QRS complex, Ventricular tachycardia and QT interval. The conference explores topics in Artificial intelligence which can be helpful for research in disciplines like Machine learning, Speech recognition and Computer vision. The event is mostly focused on Computer vision, specifically Image segmentation.

Computing in Cardiology Conference tackles topics on Image segmentation, which can potentially contribute to the wider field of Segmentation. The Pattern recognition study featured in Computing in Cardiology Conference draws connections with the study of Signal. Studies on Heart rate variability discussed in it link to the field of Autonomic nervous system.

What are the most cited papers published at the conference?

  • A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG (410 citations)
  • Heart sound segmentation algorithm based on heart sound envelogram (322 citations)
  • AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017 (298 citations)

Research areas of the most cited articles at Computing in Cardiology Conference:

The conference papers mostly deal with topics like Artificial intelligence, Electrocardiography, Internal medicine, Cardiology and Pattern recognition. The studies on Artificial intelligence discussed at the conference papers can also contribute to research in the domains of Machine learning, Speech recognition and Computer vision. The most cited articles facilitate discussions on Electrocardiography that incorporate concepts from other fields like QRS complex, Heart rate variability, Heart rate, Atrial fibrillation and Algorithm.

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

  • Internal medicine
  • Artificial intelligence
  • Quantum mechanics

The previous edition focused in particular on these issues:

The topics of Artificial intelligence, Pattern recognition, Internal medicine, Cardiology and Atrial fibrillation are the focal point of discussions in Computing in Cardiology Conference. Some problems in Artificial intelligence that were presented in Computing in Cardiology Conference overlapped with concepts under Test score and Machine learning. While work presented in the event provided substantial information on Pattern recognition, it also covered topics in Ranking, QRS complex and Test set.

Electrocardiography, Sinus rhythm, Heart rate variability, Heart rate and Healthy subjects are all aspects of Internal medicine research featured in Computing in Cardiology Conference. Electrocardiography research presented in the event encompasses a variety of subjects, including Feature (computer vision) and Catheter ablation. The conference connects the study in Cardiology with the closely related area of Lead (electronics).

The most cited articles from the last conference are:

  • openCARP: An Open Sustainable Framework for In-Silico Cardiac Electrophysiology Research (7 citations)
  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 (6 citations)
  • A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification (6 citations)

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.

Research.com

The top authors publishing at Computing in Cardiology Conference (based on the number of publications) are:

  • Pablo Laguna (130 papers) published 14 papers at the last edition, 4 more than at the previous edition,
  • Henggui Zhang (112 papers) published 7 papers at the last edition, 7 less than at the previous edition,
  • Alan Murray (93 papers) absent at the last edition,
  • Roger G. Mark (76 papers) absent at the last edition,
  • Javier Saiz (74 papers) published 4 papers at the last edition the same number as 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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Computing in Cardiology Conference (based on the number of publications) are:

  • Polytechnic University of Valencia (142 papers) published 28 papers at the last edition, 17 more than at the previous edition,
  • University of Zaragoza (139 papers) published 13 papers at the last edition the same number as at the previous edition,
  • University of Bologna (124 papers) published 11 papers at the last edition, 4 more than at the previous edition,
  • Massachusetts Institute of Technology (122 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Polytechnic University of Milan (114 papers) published 11 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.

Research.com

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.

Research.com

During the most recent 2020 edition, 5.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.67% were posted by at least one author from the top 10 institutions publishing at the conference. Another 16.01% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.15% of all publications and 34.16% 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.

Research.com

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.

Research.com

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).

Research.com

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

Research.com

Previous Editions

CinC 2021 : Computing in Cardiology

Sep 12, 2021 - Sep 12, 2021

Brno , Czech Republic, Czech Republic

Computing in Cardiology Conference

Sep 04, 2022 - Sep 07, 2022

Tampere , Finland, Finland

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