World's Best Scientists 2026 revealed!
IEEE

31st IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

Location: Stuttgart , Germany

Conference dates: 6/29/2022 - 7/1/2022

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 909 6 7 3

Call for Papers

WETICE is an annual International conference on state-of-the-art research in enabling technologies for collaboration, consisting of a main track and number of special tracks. Established thirthy years ago, WETICE aims at promoting fruitful discussions on the latest technology developments, directions, problems, and requirements. The main and special tracks include paper presentations and group discussions while the keynote sessions and summary of discussions take place in joint sessions. WETICE welcomes papers on "work-in-progress" from the Ph.D. students. All papers are refereed by the Scientific Review of Committee. Proceedings will included into IEEE Xplore and will be submitted for indexing through INSPEC, Compendex, and Thomson Reuters, DBLP, Google Scholar, and EI Index.

Topics include but are not limited to:

Business Process Management
Collaborative Business Processes
Distributed Business Processes
Process Mining
Workflow Automation

Collaboration
Cloud Computing for Collaboration
Collaboration in Digital Strategies
Collaboration in Legal service,
Collaborative and Distributed Learning Platforms
Collaborative Supply Chain Management
Copyright protection in Collaborative Process

Data and its Science
Distributed Database Technologies
Data analytics and fraud detection
Data for collaborative processes
Data privacy, anonymity and confidentiality
Data visualisation and analytics

Distributed Systems Theory
Consensus and Fault Tolerance Algorithms
Decentralized autonomous organization (DAO)
Distributed Cryptographic Algorithms and Protocols
Distributed Trust
Formal verification and model checking

Distributed Systems Infrastructure
Blockchain-based Applications and Services
Blockchain Platforms and Smart Contracts
Decentralized Application Development
Decentralized Internet Infrastructure
Peer-to-peer communication protocols and systems
Performance and Scalability Issues

Internet of Things and Cyberphysical Systems
Internet of Things Enabled Collaboration
Distributed Platforms for IoT

Systems Engineering
Architecture, scalability, governance and interoperability
Monitoring and Analysis
Service-Orientation in Systems Engineering

Applications and Case Studies
Healthcare Systems
Human-Robot Collaboration
Intelligent Manufacturing Platforms
Logistics and Intralogistics
Regulatory and standards frameworks
Smart Energy Systems

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted, data-driven insights into scientific contributions, and is recognized for the integrity and depth of its analysis in Computer Science and beyond.

The conference ranking is determined by a unique bibliometric score developed by Research.com. This score is carefully computed using both the estimated h-index and the number of leading scientists who have appeared at each conference during the previous three years. Impact Score values were collected and analyzed as of 2024-11-27, ensuring the recency and relevance of the data underpinning this assessment.

The ranking process entailed an extensive evaluation of more than 2,742 conferences. These conferences were selected following detailed inspection and rigorous examination of over 148,739 scientific documents published within the past three years, authored by a distinguished cohort of 13,184 leading scientists in the area of Computer Science. This thorough approach guarantees a ranking that reflects both the depth and quality of scientific contributions presented at each conference.

For a comprehensive explanation of the methodology used to compute the ranking scores, including details on the bibliometric score and selection criteria, 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 Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises (based on the number of publications) are:

  • Rao Mikkilineni (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Hatem Hadj Kacem (7 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Fabrizio Messina (6 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Giuseppe Pappalardo (6 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Emiliano Tramontana (5 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises (based on the number of publications) are:

  • University of Sfax (17 papers) published 4 papers at the last edition, 9 less than at the previous edition,
  • University of Catania (12 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Telecom SudParis (6 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of Toulouse (6 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of Groningen (5 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 2015 edition, 24.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.84% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.73% of all publications and 18.92% 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.

Related Online Degrees & Career Pathways

For those interested in expanding their knowledge beyond traditional on-campus programs, a computer science online degree offers a flexible and cost-effective option. Many reputable institutions now provide affordable online degrees that cater to diverse learning styles and schedules.

Veterans looking to transition into tech fields may find specialized online cybersecurity degree programs for veterans particularly beneficial. These programs often include tailored support and resources that recognize the unique experiences of military personnel.

For those curious about emerging roles in artificial intelligence, understanding how to become an AI trainer with no experience can open doors to exciting career opportunities. Entry-level pathways are designed to help candidates build expertise without prior AI backgrounds.

Additionally, short-term cyber security courses online provide focused training and certifications that boost employability in a fast-growing field. These courses are ideal for professionals seeking to enhance their skills quickly and efficiently.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles