Journal of Imaging Science and Technology

Top Research Topics at Journal of Imaging Science and Technology?

Artificial intelligence, Computer vision, Optics, Chemical engineering and Pattern recognition are among the topics commonly tackled in Journal of Imaging Science and Technology. The studies tackled, which mainly focus on Artificial intelligence, apply to Computer graphics (images) as well. The study on Computer vision presented in it intersects with subjects under the field of Algorithm.

Inkwell and Silver halide are some topics wherein Optics research discussed in the journal have an impact.

• Artificial intelligence (29.53%)
• Computer vision (24.22%)
• Optics (18.40%)

What are the most cited papers published in the journal?

• Visual Discomfort and Visual Fatigue of Stereoscopic Displays: A Review (769 citations)
• Progress and trends in ink-jet printing technology (543 citations)
• The fundamentals of gamut mapping : A survey (179 citations)

Research areas of the most cited articles at Journal of Imaging Science and Technology:

The most cited papers investigate areas of study like Artificial intelligence, Computer vision, Optics, Color image and Drop (liquid). The journal publications connects the study in Artificial intelligence with the closely related areas of Computer graphics (images). The most cited articles focus on Optics but sometimes tackle the closely related topic of Tone reproduction which is concerned with Point spread function and Offset printing.

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

• Quantum mechanics
• Artificial intelligence
• Optics

The previous edition focused in particular on these issues:

The concepts of Artificial intelligence, Computer vision, Pattern recognition, Deep learning and Image quality are tackled in Journal of Imaging Science and Technology. The work on Artificial intelligence tackled in Journal of Imaging Science and Technology brings together disciplines like Machine learning, Task (project management) and Identification (information). The work tackled in Journal of Imaging Science and Technology goes beyond the discipline of Computer vision as it also encompasses Edge (geometry).

The journal holds forums on Pattern recognition that merges themes from other disciplines such as Material classification and Mueller calculus. The Deep learning works featured in Journal of Imaging Science and Technology incorporate elements from Temperature measurement, Fishery and Face (geometry). Issues in Image quality were discussed, taking into consideration concepts from other disciplines like Low dose ct, Chip and Halftone.

The most cited articles from the last journal are:

• Deep Intelligent Neural Network for Medical Geographic Small-target Intelligent Satellite Image Super-resolution (1 citations)
• Emphasis on Material Appearance by A Combination of Dehazing and Local Visual Contrast (0 citations)
• Numerical Pathology in Selected Kubelka–Munk Formulas, and Strategies for Mitigation (0 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 Journal of Imaging Science and Technology (based on the number of publications) are:

• Yeong-Ho Ha (48 papers) absent at the last edition,
• Norimichi Tsumura (31 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Jonathan Arney (24 papers) absent at the last edition,
• Jan P. Allebach (23 papers) absent at the last edition,
• Yoichi Miyake (22 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 Journal of Imaging Science and Technology (based on the number of publications) are:

• Rochester Institute of Technology (24 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Kyungpook National University (23 papers) absent at the last edition,
• Xerox (11 papers) absent at the last edition,
• Chiba University (10 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Western Michigan University (8 papers) absent at the last 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, 10.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.21% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.64% of all publications and 43.40% 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.

How to get involved in the Journal of Imaging Science and Technology

If you are an aspiring researcher or an established academic in the imaging science and technology sector, contributing to the Journal of Imaging Science and Technology can be a highly beneficial addition to your career. With its comprehensive coverage across a range of emerging and established topics such as artificial intelligence, computer vision, and optics, the journal provides a prestigious platform for sharing your research work.

Becoming a contributor involves a rigorous submission and peer-review process to ensure the quality and reliability of the findings. You will need to adhere to the guidelines and standards set by the journal publication team. Keep in mind, the journal also appreciates cross-disciplinary approaches and integration of unique perspectives, which provide broader insights into imaging science and technology.

It could be advantageous if you are associated with a reputable institution or have a commendable background in the field. However, the primary criteria remain the originality, depth, and factual correctness of your research work.

For educators aspiring to join reputable institutions as faculty, understanding the latest research in these areas is key to facilitating effective learning. Whether you aim to become a private school teacher in Tennessee or a university professor in California, continuous professional development through such avenues is a must.

Apart from enriching knowledge and gaining exposure, contributing to the journal also allows networking with global professionals in the field, which could open up further opportunities for collaboration and growth.