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2020 10th International Conference on Computational Advances in Bio and medical Sciences (ICCABS)

2020 10th International Conference on Computational Advances in Bio and medical Sciences (ICCABS)

Online

Conference Dates: Dec 10, 2020 - Dec 12, 2020

Research
Impact Score 0.20

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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: 0.20
Contributing Best Scientists: 3
H5-index:
Papers published by Best Scientists 3
Research Ranking (Computer Science) 1243
Research Ranking (Genetics and Molecular Biology) 15

Conference Call for Papers

Topics of interest include but are not limited to:
Biological Big Data Analytics, Biological modeling and simulation, Biomedical image processing, Biomedical data and literature mining, Computational genetic epidemiology, Computational metabolomics, Computational proteomics, Databases and ontologies, Gene regulation, Genome analysis, Health Informatics, High-performance bio-computing, Immunoinformatics, Molecular evolution, Population genomics, Sequence analysis, Structural bioinformatics, Systems biology and Transcriptomics.

Overview

Top Research Topics at International Conference on Computational Advances in Bio and Medical Sciences?

  • Computational biology (27.95%)
  • Genomics (20.00%)
  • Genetics (19.28%)

The scientific interests tackled in the conference are Computational biology, Genomics, Genetics, Artificial intelligence and Genome. Topics in Computational biology explored in it were investigated in conjunction with research in RNA-Seq, Bioinformatics, Support vector machine, Cluster analysis and Sequence (medicine). The featured RNA-Seq research is covered under the field of Transcriptome.

While the conference focused on Genomics, it was also able to explore topics like Metagenomics, Reference genome and Sequence assembly. It concentrated on Genetics research, specifically DNA sequencing, Gene and Viral quasispecies. Artificial intelligence research presented in the event encompasses a variety of subjects, including Machine learning, Computer vision and Pattern recognition.

What are the most cited papers published at the conference?

  • Bcl::Cluster: A method for clustering biological molecules coupled with visualization in the Pymol Molecular Graphics System (93 citations)
  • A deep learning-based segmentation method for brain tumor in MR images (25 citations)
  • A privacy-preserving framework for distributed clinical decision support (20 citations)

Research areas of the most cited articles at International Conference on Computational Advances in Bio and Medical Sciences:

The published papers focus on Data modeling, Preprocessor, Algorithm, Molecular biophysics and Theoretical computer science. The conference publications explore Algorithm concepts, specifically Reduction (complexity) but expand to research in Single pair. The most cited articles with studies in Molecular biophysics featured incorporate elements of Hierarchical clustering, Cluster analysis, Dendrogram, Protein structure prediction and Visualization.

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

  • Gene
  • Artificial intelligence
  • Statistics

The previous edition focused in particular on these issues:

International Conference on Computational Advances in Bio and Medical Sciences is organized to address concerns in the fields of Computational biology, Genetics, Genome, Data mining and Algorithm. The work on Computational biology tackled in it brings together disciplines like Metagenomics, Ecology, Random forest and Hepatitis C virus. The studies in Genetics featured incorporate elements of Maximum likelihood and Combinatorics.

The research on Genome featured in International Conference on Computational Advances in Bio and Medical Sciences combines topics in other fields like Evolutionary biology and Measure (mathematics). Issues in Algorithm were discussed, taking into consideration concepts from other disciplines like Multiple sequence alignment, Inference, Substring and Missing data. In the conference, Machine learning and Artificial intelligence are investigated in conjunction with one another to address concerns in Alignment-free sequence analysis research.

The most cited articles from the last conference are:

  • A constrained linear approach to identify a multi-timescale adaptive threshold neuronal model (5 citations)
  • Phosphorylation sites prediction using Random Forest (5 citations)
  • GaussianCpG: A Gaussian model for detection of human CpG island (4 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 International Conference on Computational Advances in Bio and Medical Sciences (based on the number of publications) are:

  • Ion I. Mandoiu (19 papers) published 1 paper at the last edition, 6 less than at the previous edition,
  • Alexander Zelikovsky (18 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Yury Khudyakov (8 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Scott J. Emrich (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Sanguthevar Rajasekaran (7 papers) published 1 paper at the last edition, 1 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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Computational Advances in Bio and Medical Sciences (based on the number of publications) are:

  • University of Connecticut (32 papers) published 2 papers at the last edition, 9 less than at the previous edition,
  • Georgia State University (24 papers) published 5 papers at the last edition, 5 less than at the previous edition,
  • University of Central Florida (12 papers) published 3 papers at the last edition,
  • Centers for Disease Control and Prevention (9 papers) published 4 papers at the last edition the same number as at the previous edition,
  • University of Notre Dame (8 papers) published 1 paper at the last edition, 2 less 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 2015 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 52.94% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.76% of all publications and 23.53% 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

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