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Ultrasonic Imaging
H-index 7

Ultrasonic Imaging

0161-7346

Published by: SAGE

https://journals.sagepub.com/home/uix

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 943 7 6 4
Engineering and Technology 1197 17 19 5

Additional Metrics

Number of Best Scientists*: 31
Documents by Best Scientists*: 27
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 52
SCIMAGO SJR: 0.547
Impact Factor: 2.5

Overview

Top Research Topics at Ultrasonic Imaging?

The scientific interests tackled in the journal are Optics, Ultrasound, Ultrasonic sensor, Biomedical engineering and Acoustics. Optics research discussed connects with the study of Transducer. Studies on Transducer discussed in Ultrasonic Imaging link to the field of Scanner.

While work presented in the journal provided substantial information on Ultrasound, it also covered topics in Nuclear medicine, Backscatter and Pathology. It dives deep in exploring the relationship between the study of Ultrasonic sensor and Artificial intelligence. Image processing is a focus of the Artificial intelligence works in Ultrasonic Imaging.

The research on Biomedical engineering discussed in the journal draws on the closely related field of Tissue characterization. Some problems in Acoustics that were presented in Ultrasonic Imaging overlapped with concepts under Signal and Signal processing. Speckle pattern studies tackled cover an aspect of the field of Computer vision.

  • Optics (32.41%)
  • Ultrasound (24.73%)
  • Ultrasonic sensor (22.11%)

What are the most cited papers published in the journal?

  • Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues (3042 citations)
  • Elastic Moduli of Breast and Prostate Tissues under Compression (1398 citations)
  • Simultaneous algebraic reconstruction technique (SART): a superior implementation of the art algorithm. (1197 citations)

Research areas of the most cited articles at Ultrasonic Imaging:

The most cited articles investigate areas of study like Optics, Ultrasound, Ultrasonic sensor, Transducer and Acoustics. In addition to Optics research, the most cited papers aim to explore topics under Image quality and Signal. The featured Ultrasound studies in the most cited articles mainly concentrate on Biomedical engineering but also cover areas of interest in Elasticity (economics) and Diagnostic ultrasound.

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

  • Internal medicine
  • Optics
  • Artificial intelligence

The previous edition focused in particular on these issues:

The main points discussed in the journal deals with Ultrasound, Artificial intelligence, Acoustics, Radiology and Pattern recognition. The work on Ultrasound tackled in it brings together disciplines like Image processing, Tendon, Radon transform, Breast cancer and Biomedical engineering. Issues in Image processing were discussed, taking into consideration concepts from other disciplines like Transducer and Reverberation.

The featured Radon transform studies mainly concentrate on Pneumothorax but also cover areas of interest in Ultrasonic sensor. The research on Biomedical engineering tackled can also make contributions to studies in the areas of Speckle pattern, Soft tissue and Ultrasound phantom. Acoustics research featured in it incorporates concerns from various other topics such as Attenuation, Experimental data and Inverse problem.

The most cited articles from the last journal are:

  • Contrast-Enhanced Ultrasound Imaging of Uterine Disorders: A Systematic Review: (1 citations)
  • Efficacy of High Temporal Frequency Photoacoustic Guidance of Laser Ablation Procedures. (1 citations)
  • Acoustic-Field Beamforming for Low-Power Portable Ultrasound: (1 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.

The top authors publishing in Ultrasonic Imaging (based on the number of publications) are:

  • Stephen W. Smith (52 papers) absent at the last edition,
  • Gregg E. Trahey (35 papers) absent at the last edition,
  • Jonathan Ophir (35 papers) absent at the last edition,
  • Pai-Chi Li (27 papers) absent at the last edition,
  • Tomy Varghese (27 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Ultrasonic Imaging (based on the number of publications) are:

  • Duke University (79 papers) published 1 paper at the last edition,
  • University of Wisconsin-Madison (47 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Texas at Austin (35 papers) absent at the last edition,
  • National Taiwan University (35 papers) absent at the last edition,
  • University of Michigan (22 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, 4.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 58.33% 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.

Educational Background and Career Paths for Researchers

A researcher's interest in the topics covered by this journal might inspire them to pursue a career in the field. A potential starting point could span various roles, including but not limited to, research assistants, lab technicians, or educators. Specifically for those interested in a career in education, becoming a preschool teacher assistant is an excellent way to gain foundational experience. For example, in Wisconsin, the role of a preschool teacher assistant offers the opportunity to apply knowledge from Optics, Ultrasound, Ultrasonic sensor, Biomedical engineering, and Acoustics into practice while teaching young children about these complex topics. While the role can be challenging, it provides rewarding, hands-on experience that could prove valuable for future research in the field. The requirements to become a preschool teacher assistant can vary based on location. In Wisconsin, individuals typically need at least two years of post-secondary education in early childhood education or a related field. To aid in your research, we have provided a detailed guide on the steps to becoming a preschool teacher assistant in Wisconsin, which you can find here. This guide outlines everything from educational requirements to the hands-on experience required, ensuring you're well equipped with the information necessary to set you on your career path. Whether you ’re a budding researcher looking to make your mark in academia, or a professional seeking to influence the next generation of thinkers and innovators, making informed career decisions is essential. The journey might be challenging, but the rewards and sense of accomplishment you'll reap in contributing to the advancement of science and technology is beyond compare.

Top Publications

  • Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture:

    Nirvedh H. Meshram;Carol C. Mitchell;Stephanie Wilbrand;Robert J. Dempsey

    (2020)
    42 Citations
  • Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation

    (2022)
    33 Citations
  • Burr, Lomax, Pareto, and Logistic Distributions from Ultrasound Speckle.

    Kevin J Parker;Sedigheh S Poul

    (2020)
    18 Citations
  • Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism.

    Jianing Xi;Jiangang Chen;Zhao Wang;Dean Ta

    (2021)
    16 Citations
  • A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images

    (2022)
    15 Citations
  • Automatic Measurement of Pennation Angle from Ultrasound Images using Resnets.

    Weimin Zheng;Shangkun Liu;Qing-Wei Chai;Jeng-Shyang Pan

    (2021)
    9 Citations
  • Single Versus Multi-channel Dispersion Analysis of Ultrasonic Guided Waves Propagating in Long Bones.

    Tho N H T Tran;Feng He;Zhenggang Zhang;Mauricio D Sacchi

    (2021)
    5 Citations
  • A Low-complexity Minimum-variance Beamformer Based on Orthogonal Decomposition of the Compounded Subspace.

    Yinmeng Wang;Yanxing Qi;Yuanyuan Wang

    (2021)
    4 Citations
  • Combined ARFI and Shear Wave Imaging of Prostate Cancer: Optimizing Beam Sequences and Parameter Reconstruction Approaches

    (2023)
    4 Citations

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