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International Symposium on Bioinformatics Research and Applications

International Symposium on Bioinformatics Research and Applications

Haifa , Israel

Submission Deadline: Sunday 24 Jul 2022

Conference Dates: Nov 14, 2022 - Nov 17, 2022

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: 2
H5-index:
Papers published by Best Scientists 2
Research Ranking (Computer Science) 918
Research Ranking (Genetics and Molecular Biology) 18

Conference Call for Papers

opics of interest include but are not limited to:

Biomarker discovery
Biomedical databases and data integration
Biomedical text mining and ortologies
Biomolecular imaging
Comparative genomics
Computational genetic epidemiology
Computational proteomics
Data mining and visualization
Gene expression analysis
Structural biology
Genome analysis
Systems biology
High-performance bio-computing
Metagenomics
Molecular evolution
Molecular modelling and simulation
Next-generation sequencing data analysis
Pattern discovery and classification
Population genetics
Software tools and applications
AI and machine learning methods in Bioinformatics and Medical Information
Big Data Analytics in Biology and Medicine

Overview

Top Research Topics at International Symposium on Bioinformatics Research and Applications?

  • Computational biology (24.05%)
  • Artificial intelligence (22.66%)
  • Data mining (14.19%)

The scientific interests tackled in International Symposium on Bioinformatics Research and Applications are Computational biology, Artificial intelligence, Data mining, Gene and Machine learning. The event holds forums on Computational biology that merges themes from other disciplines such as Genetics, Bioinformatics, Phylogenetic tree, Genome and DNA sequencing. International Symposium on Bioinformatics Research and Applications focuses on Phylogenetic tree but the discussions also offer insight into other areas such as Tree (data structure), Algorithm, Phylogenetics and Theoretical computer science.

The work tackled in it goes beyond the discipline of Artificial intelligence as it also encompasses Pattern recognition. The research on Data mining featured in it combines topics in other fields like Set (abstract data type) and Cluster analysis. Gene research is concerned with Gene expression in particular.

What are the most cited papers published at the conference?

  • A Metric for Phylogenetic Trees Based on Matching (61 citations)
  • HCV quasispecies assembly using network flows (44 citations)
  • Essential proteins discovery from weighted protein interaction networks (38 citations)

Research areas of the most cited articles at International Symposium on Bioinformatics Research and Applications:

The conference papers primarily focus on research topics in Artificial intelligence, Phylogenetic tree, Data mining, Set (abstract data type) and Pattern recognition. Machine learning and Big data are some topics wherein Artificial intelligence research discussed in the most cited publications has an impact. The conference papers about Support vector machine under the umbrella field of Pattern recognition overlap with concepts in Context (language use).

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

  • Gene
  • Artificial intelligence
  • DNA

The previous edition focused in particular on these issues:

The topics of Artificial intelligence, Machine learning, Computational biology, Pattern recognition and Gene are the focal point of discussions in International Symposium on Bioinformatics Research and Applications. It focused on Artificial intelligence research but expanded to cover Computer vision. Issues in Machine learning were discussed, taking into consideration concepts from other disciplines like Probabilistic logic and Inference.

It tackles studies in Epitope and the interrelated subject of Monoclonal antibody to gain insights into Computational biology. In the event, Field (computer science), Euclidean space and Electroencephalography are investigated in conjunction with one another to address concerns in Pattern recognition research. Topics in Gene explored in the conference were investigated in conjunction with research in Photosynthesis and Plankton.

The most cited articles from the last conference are:

  • Histopathological Diagnosis for Viable and Non-viable Tumor Prediction for Osteosarcoma Using Convolutional Neural Network (18 citations)
  • Detecting and Predicting Alzheimer's Disease Severity in Longitudinal Acoustic Data (13 citations)
  • Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network (10 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 Symposium on Bioinformatics Research and Applications (based on the number of publications) are:

  • Yi Pan (9 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Fang-Xiang Wu (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Oliver Eulenstein (6 papers) published 1 paper at the last edition,
  • Paweł Górecki (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Min Li (6 papers) published 2 papers 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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at International Symposium on Bioinformatics Research and Applications (based on the number of publications) are:

  • Georgia State University (20 papers) published 8 papers at the last edition, 4 more than at the previous edition,
  • Iowa State University (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Chinese Academy of Sciences (9 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Central South University (8 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Harbin Institute of Technology (8 papers) published 2 papers at the last edition the same number as 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 2017 edition, 1.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.67% of all publications and 48.33% 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

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