Journal of Computer Assisted Tomography

Top Research Topics at Journal of Computer Assisted Tomography?

Journal of Computer Assisted Tomography aims to foster the development of research in Radiology, Nuclear medicine, Magnetic resonance imaging, Computed tomography and Pathology. It focuses on Radiology but the discussions also offer insight into other areas such as Surgery and Lung. It focuses on Nuclear medicine as well as the interrelated topic of Image quality.

The research on Magnetic resonance imaging featured in Journal of Computer Assisted Tomography combines topics in other fields like Lesion, Nuclear magnetic resonance and Anatomy. Journal of Computer Assisted Tomography dives deep in exploring the relationship between the study of Tomography and X ray computed.

• Radiology (48.55%)
• Nuclear medicine (25.46%)
• Magnetic resonance imaging (21.20%)

What are the most cited papers published in the journal?

• Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space (2988 citations)
• Rapid automated algorithm for aligning and reslicing PET images. (1849 citations)
• EM reconstruction algorithms for emission and transmission tomography. (1646 citations)

Research areas of the most cited articles at Journal of Computer Assisted Tomography:

The published papers mostly deal with topics like Radiology, Nuclear medicine, Magnetic resonance imaging, Pathology and Tomography. The most cited articles facilitate discussions on Radiology that incorporate concepts from other fields like Respiratory disease and Lung. While work presented in the most cited articles provide substantial information on Nuclear medicine, it also covers topics in Image processing and Image quality.

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

• Internal medicine
• Radiology
• Surgery

The previous edition focused in particular on these issues:

The topics of Nuclear medicine, Magnetic resonance imaging, Radiology, Computed tomography and Internal medicine are the focal point of discussions in Journal of Computer Assisted Tomography. Some problems in Nuclear medicine that were presented in Journal of Computer Assisted Tomography overlapped with concepts under Image quality, Contrast (vision), Dual-Energy Computed Tomography, Hounsfield scale and Tomography. The research on Magnetic resonance imaging tackled can also make contributions to studies in the areas of Positron emission tomography, Coronal plane, Lesion and Receiver operating characteristic.

It aims to bridge the gap between the study of Radiology and In patient. Topics in Internal medicine explored in it were investigated in conjunction with research in Gastroenterology, Oncology and Cardiology. Correlation, Diffusion MRI, Kurtosis and Nuclear magnetic resonance are some topics wherein Effective diffusion coefficient research discussed in Journal of Computer Assisted Tomography have an impact.

The most cited articles from the last journal are:

• A Third-Generation Adaptive Statistical Iterative Reconstruction for Contrast-Enhanced 4-Dimensional Dual-Energy Computed Tomography for Pancreatic Cancer. (3 citations)
• Evaluation of the Peripheral Rim Instability of the Discoid Meniscus in Children by Using Weight-Bearing Magnetic Resonance Imaging. (2 citations)
• Comparison of MRI, PSMA PET/CT, and Fusion PSMA PET/MRI for Detection of Clinically Significant Prostate Cancer. (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 Journal of Computer Assisted Tomography (based on the number of publications) are:

• Elliot K. Fishman (170 papers) published 1 paper at the last edition,
• Lawrence R. Kuhns (69 papers) absent at the last edition,
• Stanley S. Siegelman (68 papers) absent at the last edition,
• Rodney A. Brooks (67 papers) absent at the last edition,
• James E. Knake (54 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 Computer Assisted Tomography (based on the number of publications) are:

• Johns Hopkins University (253 papers) published 1 paper at the last edition the same number as at the previous edition,
• Harvard University (176 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• University of California, San Francisco (139 papers) absent at the last edition,
• Duke University (114 papers) published 1 paper at the last edition the same number as at the previous edition,
• University of Michigan (106 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, 7.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.21% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.74% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.69% of all publications and 63.36% 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.

Career Opportunities in Medical Imaging

While the articles in the Journal of Computer Assisted Tomography provide enlightening research findings for professionals in the field of medical imaging, it is crucial to consider how this knowledge can translate into viable career opportunities for students and early-career medical professionals in this sector. Understanding the implications of research outcomes on career options and educational paths can further enhance the utilisation of such findings.

For those interested in careers encompassing Radiology, Nuclear Medicine, or Magnetic Resonance Imaging, a multitude of opportunities exist within the healthcare industry. Many of these roles involve the application of technologies and methodologies discussed in the journal, particularly in analysis, diagnostics, and pathology.

In particular, becoming a registered nurse with a speciality in Radiology or Nuclear Medicine involves a unique blend of theoretical knowledge and practical skills. For instance, in Nevada, requirements to become a registered nurse are stringent, but gaining insightful knowledge and skills in these fields can set you apart in a competitive career landscape. If you're interested in learning specifics, discover more about this process on how to become a registered nurse in Nevada.

In conclusion, understanding career applications of the research topics discussed in the Journal of Computer Assisted Tomography can not only deepen the professional significance of these findings but can also inspire the next generation professionals to direct their aspirations towards such beneficial healthcare roles.