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IEEE

37th International Conference on Information Networking (ICOIN) (ICOIN)

Location: Bangkok , Thailand

Submission deadline: 8/15/2022

Conference dates: 1/11/2023 - 1/14/2023

Research H-index
16

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 82 22 81 13
Computer Science 177 47 151 16

Call for Papers

The 37th International Conference on Information Networking (ICOIN) will take place in Bangkok, Thailand, which is organized by Korea Institute of Information Scientists and Engineers (KIISE) and technically co-sponsored by IEEE. It has been 37 years since ICOIN originally started under the name of Joint Workshop on Computer Communication in 1986. In past thirty years, computer communication and networking technologies have changed every aspect of our lives and societies. While computer networks have contributed largely to the current IT advancement, it will play a key role in new IT paradigms such as IoT, Mobile, Big data, AI, Security, and Cloud computing and will be applied to various areas of the upcoming society including industry, business, politics, culture, medicine and so on. ICOIN is the most comprehensive conference focused on the various aspects of advances in computer communication and networking technologies. The main purpose of ICOIN 2023 is to improve our research by achieving the highest capability and encourage open discussions on computer communication and networking technologies. Authors are invited to submit original unpublished manuscripts that demonstrate recent advances in computer communications, wireless/mobile networks, secure networking, intelligent networking, and converged networks in the theoretical and practical aspects.

Topics
Potential topics in this conference include, but are not limited to:

5G/6G cellular systems and heterogeneous networks Networked computing systems and devices
Ad-hoc and sensor networks Network performance analysis/measurement and evaluation
Artificial intelligence (AI) and autonomous networking Network security, trust and privacy
Big data/Cloud computing and networks Network simulation and modeling
Blockchain platforms and services Network survivability and reliability
Cognitive radio, cooperative communication and networking Network science
Content distribution networks (CDN) Network traffic management
Contents/Information centric networks (CCN/ICN) Optical networks
Cross-layer design and optimization Operating systems and middleware support for networking
Cyber-physical system (CPS) Peer-to-peer (P2P)/Overlay networks
Delay/Disruption tolerant network (DTN) Pricing and billing
Device-to-device communications QoS and resource management
Distributed database and data mining Routing, switching, and addressing
Energy-efficient protocols, green networks, and smart grid Social computing and networks
Future Internet and future networks Software defined networking (SDN) and network virtualization
Healthcare systems and networks Ubiquitous home and office networking
Industrial networks and smart factory Underwater networks
Internet and web-based database systems and applications Vehicle-to-everything (V2X) and autonomous cars
Internet of things and machine-to-machine communications VR/AR Streaming
Machine learning and networking Wireless/mobile networks (WBAN/WPAN/WLAN/WMAN/WWAN)
Mobile Edge Computing Wireless mesh/multihop networks
Multimedia/database systems and applications

Overview

The scientific conference ranking presented on this page provides a comprehensive evaluation of events within the field of Computer Science. Developed by Research.com, a trusted authority in scientific research assessment since 2014, this ranking draws upon the platform’s extensive experience in delivering reliable data across all major scientific domains, with distinguished emphasis on Computer Science.

This ranking employs an exclusive bibliometric score developed by Research.com. The score takes into account an estimated h-index and incorporates the number of leading scientists who have contributed to or participated in each conference over the three most recent years. This metric offers a nuanced measure of both academic impact and the reputation of featured contributors, reflecting the conferences’ standing in the Computer Science community. The Impact Score values included in this ranking were compiled on 2024-11-27.

The creation of this ranking involved a rigorous process: more than 2,742 conferences were scrutinized following an in-depth review of 148,739 scientific documents published in the last three years. This analysis was conducted in association with 13,184 leading and respected scientists active in Computer Science research. The methodology reflects a deep commitment to accuracy and comprehensiveness, and ensures that the final list represents only the most influential and highly regarded conferences in the discipline.

For a comprehensive description of the methodology underlying the calculation of these rankings, including details on the bibliometric indicators and inclusion criteria, please consult 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 International Conference on Information Networking (based on the number of publications) are:

  • Choong Seon Hong (42 papers) published 7 papers at the last edition, 5 more than at the previous edition,
  • Kwangsue Chung (15 papers) published 1 paper at the last edition the same number as at the previous edition,
  • JongWon Kim (12 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Ilyoung Chong (12 papers) absent at the last edition,
  • Keecheon Kim (11 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 International Conference on Information Networking (based on the number of publications) are:

  • Kyung Hee University (61 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Soongsil University (43 papers) published 6 papers at the last edition, 1 less than at the previous edition,
  • Electronics and Telecommunications Research Institute (41 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Korea University (38 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Sungkyunkwan University (37 papers) published 1 paper at the last edition, 7 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.

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 2019 edition, 2.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.17% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.79% of all publications and 41.67% 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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