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IEEE

IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI'22) (IRI)

Submission deadline: 4/24/2022

Conference dates: 8/9/2022 - 8/11/2022

Research H-index
12

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 289 32 75 12

Call for Papers

This conference presents excellent, novel, and contemporary papers covering all aspects of Data – including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought for data management in the face of hardware, software, and/or bandwidth constraints; to construct models yielding important data insights; and, to create visualizations to aid in presenting and understanding the data. System development and integration need to adapt to these new algorithms, technologies, tools, and needs. This conference and its constituents support the development of science and technology to improve the human condition.

Furthermore, IRI addresses the representation, cleansing, generalization, validation, and reasoning strategies for the scientifically sound and the cost-effective advancement of all systems and systems of systems (SoS) – including all software and hardware aspects. These non-trivial tasks lead to challenging research problems – for example, how to optimally select the information/data sets for reuse and how to optimize the integration of existing information/knowledge with new, developing information/knowledge sources!

The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both welcome. The conference program will include several plenary speeches from academia, industry, and government; special sessions, open forum workshops, and panels.

The conference includes, but is certainly not limited to, the areas listed below:

Information Reuse
Data Science & Technologies - Heuristic Acquisition
Data & Knowledge Representation and Management
Data Visualization
Information Science & Theory
Contemporary as well as Novel Data Mining Techniques
Graph Models
Recommender Systems
Information Integration
Machine Learning & AI
AI and Security
Heuristics, and Explanation-Based Learning vs. neural networks which are intractable
Information Science & Theory
Symbolic AI
Evolutionary Techniques
Predictive Data Analysis & Intelligence
Statistical Analysis
Reusable Systems
Software and Systems Reuse and Reusability
Software Sustainability and Reuse Economics
Software Maintenance and Life-Cycle Management
Software Reliability, Robustness, and Dependability
Platforms and Tools
Applications – Autonomous Vehicles, Business, Education, Engineering, Healthcare and Medical Informatics, the Internet of Things, Math, Military, Multimedia, NLP, Robotics, Science, Security, Social Networking, Space, Vision, etc.
Brain-Computer Interface: Applications and Algorithms
Important Dates:

Instructions:

Papers reporting original and unpublished research results pertaining to the above and related topics are solicited. Full papers must be in English of up to 6 pages (using the IEEE two-column template instructions). Six pages is typical and allows for extension of invited papers being extended for journal publication. Posters (including short research highlights and tool demos) are up to 2 pages. Submissions should be double blind and should include only the title and should not include the author(s), affiliation(s), e-mail address(es), tel/fax numbers, and postal address(es) in the paper. The online submission site is: https://easychair.org/conferences/?conf=iri2022 . The authors need to select if their submission is for the "Full Paper" track or for the "Poster" track.
If web submission is not possible, please contact the program co-chair, Dr. Nan Niu ([email protected]) for alternate arrangements.

Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper & poster submission implies the intent of at least one of the authors to register and present the paper & poster in the virtual IRI'22 conference, if accepted.

Formatting Instructions & Templates:

Use US letter template only: (https://www.ieee.org/conferences/publishing/templates.html)

Overview

This ranking presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously compiled to assist researchers, institutions, and professionals in identifying the most influential venues for presenting and disseminating cutting-edge scientific work. The ranking has been prepared by Research.com, recognized as one of the leading platforms for science research across all major domains. Since 2014, Research.com has provided trusted and authoritative data on scientific contributions, supporting the academic community with reliable research analytics.

Each conference’s position within this ranking is determined by a unique bibliometric score specifically developed by Research.com. This score is calculated through a rigorous method that incorporates the estimated h-index as well as the number of leading scientists who have featured at the conference over the preceding three years. Such a multifaceted approach ensures a robust and fair evaluation of a conference's scientific impact and reputation.

Notably, the ranking incorporates Impact Score values collected as of 2024-11-27. The process of ranking involved a thorough examination of more than 2,742 conferences. These selections were made after a detailed and rigorous analysis of over 148,739 scientific documents published within the last three years by 13,184 leading and well-respected scientists specializing in Computer Science. This depth of research and review underlines the commitment to ensuring accuracy and credibility in recognizing conferences of the highest scientific merit.

For further transparency and to foster deeper understanding, comprehensive details on the methodology used to compute ranking scores are available on 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 Information Reuse and Integration (based on the number of publications) are:

  • Stuart H. Rubin (34 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Shu-Ching Chen (33 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Taghi M. Khoshgoftaar (28 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Taghi M. Khoshgoftaar (25 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Reda Alhajj (24 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 Information Reuse and Integration (based on the number of publications) are:

  • Florida Atlantic University (66 papers) published 8 papers at the last edition, 3 less than at the previous edition,
  • University of Calgary (39 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • California State University, Sacramento (35 papers) absent at the last edition,
  • Florida International University (29 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • University of Miami (24 papers) published 4 papers at the last edition, 1 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.

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 2016 edition, 4.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.57% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 46.15% 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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