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IEEE Journal of Oceanic Engineering
H-index 22

IEEE Journal of Oceanic Engineering

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 386 12 17 9
Engineering and Technology 846 13 28 10

Additional Metrics

Number of Best Scientists*: 129
Documents by Best Scientists*: 153
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 118
SCIMAGO SJR: 1.003
Impact Factor: 5.3

Overview

Top Research Topics at IEEE Journal of Oceanic Engineering?

The journal mainly tackles studies in Acoustics, Underwater acoustics, Sonar, Remote sensing and Underwater. In addition to Acoustics research, IEEE Journal of Oceanic Engineering aims to explore topics under Signal, Signal processing and Scattering, Optics. IEEE Journal of Oceanic Engineering explores research in Signal processing and the adjacent study of Algorithm.

The journal facilitates discussions on Underwater acoustics that incorporate concepts from other fields like Underwater acoustic communication and Electronic engineering. In it, Multipath propagation and Communication channel are investigated in conjunction with one another to address concerns in Electronic engineering research. Sonar research presented in IEEE Journal of Oceanic Engineering encompasses a variety of subjects, including Sonar signal processing and Computer vision.

The research on Remote sensing tackled can also make contributions to studies in the areas of Radar and Radar imaging. The Underwater works featured in IEEE Journal of Oceanic Engineering incorporate elements from Marine engineering and Remotely operated underwater vehicle. Feature extraction is a focus of the presented Artificial intelligence works and it dives deep in Feature extraction.

  • Acoustics (27.02%)
  • Underwater acoustics (16.00%)
  • Sonar (15.76%)

What are the most cited papers published in the journal?

  • Review of fish swimming modes for aquatic locomotion (1234 citations)
  • Stable adaptive teleoperation (1231 citations)
  • Sonar tracking of multiple targets using joint probabilistic data association (1115 citations)

Research areas of the most cited articles at IEEE Journal of Oceanic Engineering:

The journal papers aim to foster the development of research in Acoustics, Underwater acoustics, Remotely operated underwater vehicle, Remote sensing and Underwater. The most cited papers hold forums on Underwater acoustics that merge themes from other disciplines such as Underwater acoustic communication, Communication channel, Electronic engineering and Sonar. Artificial intelligence and Mobile robot are some topics wherein Underwater research discussed in the most cited publications has an impact.

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

  • Quantum mechanics
  • Artificial intelligence
  • Statistics

The previous edition focused in particular on these issues:

The primary areas of discussion in IEEE Journal of Oceanic Engineering are Underwater, Acoustics, Sonar, Artificial intelligence and Marine engineering. While IEEE Journal of Oceanic Engineering focused on Underwater, it was also able to explore topics like Remotely operated underwater vehicle, Vehicle dynamics, Bathymetry, Remote sensing and Trajectory. IEEE Journal of Oceanic Engineering explores research in Radar and overlapping concepts in Doppler effect to expand the discourse in Acoustics.

Sonar research featured in IEEE Journal of Oceanic Engineering incorporates concerns from various other topics such as Data modeling and Algorithm. Topics in Artificial intelligence were tackled in line with various other fields like Computer vision and Pattern recognition. The Marine engineering study featured in the journal draws connections with the study of Lift-to-drag ratio.

The most cited articles from the last journal are:

  • On the Use of Tiny Convolutional Neural Networks for Human-Expert-Level Classification Performance in Sonar Imagery (9 citations)
  • Cooperative Impedance Control for Multiple Underwater Vehicle Manipulator Systems Under Lean Communication (7 citations)
  • On the Usage of Low-Cost MEMS Sensors, Strapdown Inertial Navigation, and Nonlinear Estimation Techniques in Dynamic Positioning (7 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 IEEE Journal of Oceanic Engineering (based on the number of publications) are:

  • Milica Stojanovic (33 papers) absent at the last edition,
  • Mandar Chitre (33 papers) published 3 papers at the last edition the same number as at the previous edition,
  • William S. Hodgkiss (32 papers) published 1 paper at the last edition,
  • James F. Lynch (27 papers) absent at the last edition,
  • Kevin L. Williams (26 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 IEEE Journal of Oceanic Engineering (based on the number of publications) are:

  • Woods Hole Oceanographic Institution (146 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • United States Naval Research Laboratory (117 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of Washington (100 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Massachusetts Institute of Technology (70 papers) absent at the last edition,
  • Pennsylvania State University (62 papers) published 3 papers at the last edition, 1 less 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, 19.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.23% of all publications and 49.04% 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.

Top Publications

  • Depth-Dependent Geoacoustic Inferences With Dispersion at the New England Mud Patch via Reflection Coefficient Inversion

    Josee Belcourt;Charles W. Holland;Stan E. Dosso;Jan Dettmer

    (2020)
    36 Citations
  • Autonomous Tracking and Sampling of the Deep Chlorophyll Maximum Layer in an Open-Ocean Eddy by a Long-Range Autonomous Underwater Vehicle

    Yanwu Zhang;Brian Kieft;Brett W. Hobson;John P. Ryan

    (2020)
    30 Citations
  • Trans-Dimensional Inversion of Modal Dispersion Data on the New England Mud Patch

    Julien Bonnel;Stan E. Dosso;Dimitrios Eleftherakis;N. Ross Chapman

    (2020)
    26 Citations
  • Measurements of Geologic Characteristics and Geophysical Properties of Sediments From the New England Mud Patch

    Jason D. Chaytor;Megan S. Ballard;Brian J. Buczkowski;John A. Goff

    (2021)
    24 Citations
  • In Situ Measurements of Compressional Wave Speed During Gravity Coring Operations in the New England Mud Patch

    Megan S. Ballard;Kevin M. Lee;Andrew R. McNeese;Preston S. Wilson

    (2020)
    23 Citations
  • Maximum Entropy Derived Statistics of Sound-Speed Structure in a Fine-Grained Sediment Inferred From Sparse Broadband Acoustic Measurements on the New England Continental Shelf

    David P. Knobles;Preston S. Wilson;John A. Goff;Lin Wan

    (2020)
    20 Citations
  • Station-Keeping Underwater Gliders Using a Predictive Ocean Circulation Model and Applications to SWOT Calibration and Validation

    Evan B. Clark;Andrew Branch;Steve Chien;Faiz Mirza

    (2020)
    19 Citations
  • Adaptive Sampling of Surface Fronts in the Arctic Using an Autonomous Underwater Vehicle

    Trygve Olav Fossum;Petter Norgren;Ilker Fer;Frank Nilsen

    (2021)
    19 Citations
  • Tracking Multiple Surface Vessels With an Autonomous Underwater Vehicle: Field Results

    Artur Wolek;James McMahon;Benjamin R. Dzikowicz;Brian H. Houston

    (2020)
    18 Citations

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