ETRI Journal

Top Research Topics at Etri Journal?

The journal focuses on Electronic engineering, Artificial intelligence, Computer network, Algorithm and Electrical engineering. The work on Electronic engineering tackled in the journal brings together disciplines like Communication channel and Orthogonal frequency-division multiplexing. Etri Journal focuses on Artificial intelligence but the discussions also offer insight into other areas such as Computer vision and Pattern recognition.

The journal features Computer network research that overlaps with concepts in Distributed computing. Many of the studies tackled connect Electrical engineering with a similar field of study like Optoelectronics.

• Electronic engineering (18.43%)
• Artificial intelligence (11.92%)
• Computer network (10.66%)

What are the most cited papers published in the journal?

• Efficient Iris Recognition through Improvement of Feature Vector and Classifier (456 citations)
• Efficient Use of MPEG-7 Edge Histogram Descriptor (306 citations)
• Robust Facial Expression Recognition Based on Local Directional Pattern (253 citations)

Research areas of the most cited articles at Etri Journal:

The journal publications tackle a plethora of topics, such as Artificial intelligence, Electronic engineering, Computer vision, Algorithm and Computer network. The study on Artificial intelligence presented in the journal articles is investigated in conjunction with research in Pattern recognition. The journal papers focus on Electronic engineering but also tackle concerns of closely connected disciplines like

• Electrical engineering together with Optoelectronics,
• Microstrip antenna which intersects with area such as Antenna measurement..

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

• Artificial intelligence
• Operating system
• Computer network

The previous edition focused in particular on these issues:

Etri Journal investigates studies in Algorithm, Artificial intelligence, Computer network, Electronic engineering and Real-time computing. Studies on Algorithm discussed in it link to the field of Genetic algorithm. In addition to Artificial intelligence research, Etri Journal aims to explore topics under Natural language processing, Machine learning, Computer vision and Pattern recognition.

The journal explores research in Computer vision alongside concepts in Simultaneous localization and mapping and other areas of study in Lidar. Research on Electronic engineering addressed in Etri Journal frequently intersections with the field of Orthogonal frequency-division multiplexing. Real-time computing research presented in the journal encompasses a variety of subjects, including Wireless and Efficient energy use.

The most cited articles from the last journal are:

• Predicting numeric ratings for Google apps using text features and ensemble learning (5 citations)
• Resource‐efficient load‐balancing framework for cloud data center networks (5 citations)
• Fileless cyberattacks: Analysis and classification (2 citations)

Papers citation over time

A key indicator for each journal 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.

Top authors and change over time

The top authors publishing in Etri Journal (based on the number of publications) are:

• Kyung Sup Kwak (20 papers) absent at the last edition,
• Jinwoong Kim (19 papers) absent at the last edition,
• Jong-Wha Chong (18 papers) absent at the last edition,
• Kwang-Seong Choi (18 papers) absent at the last edition,
• Sungho Kang (18 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Etri Journal (based on the number of publications) are:

• Electronics and Telecommunications Research Institute (389 papers) published 15 papers at the last edition, 16 less than at the previous edition,
• Korea University (61 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Hanyang University (39 papers) published 1 paper at the last edition the same number as at the previous edition,
• Yonsei University (39 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• KAIST (34 papers) published 3 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

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 2021 edition, 15.19% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.43% of all publications and 52.24% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal 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 journal 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 in a journal. The index includes the authors publishing at the last edition of a journal, 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.