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IEEE Transactions on Geoscience and Remote Sensing
H-index 111

IEEE Transactions on Geoscience and Remote Sensing

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 8 580 2969 108
Electronics and Electrical Engineering 51 157 576 47
Environmental Sciences 79 381 697 43
Earth Science 104 176 265 27

Additional Metrics

Number of Best Scientists*: 1473
Documents by Best Scientists*: 4355
Top 100 Ranked Scientists*: 32
SCIMAGO H-index: 324
SCIMAGO SJR: 2.397
Impact Factor: 8.6

Overview

Top Research Topics at IEEE Transactions on Geoscience and Remote Sensing?

The topics of Remote sensing, Artificial intelligence, Synthetic aperture radar, Radar and Pattern recognition are the focal point of discussions in IEEE Transactions on Geoscience and Remote Sensing. The work on Remote sensing tackled in the journal brings together disciplines like Image resolution, Meteorology and Satellite. Artificial intelligence and Computer vision are closely related fields of research discussed in IEEE Transactions on Geoscience and Remote Sensing.

Image processing is the primary subject of Computer vision works presented in IEEE Transactions on Geoscience and Remote Sensing. While work presented in it provided substantial information on Synthetic aperture radar, it also covered topics in Inverse synthetic aperture radar, Radar imaging, Algorithm and Interferometry. The studies on Radar discussed can also contribute to research in the domains of Polarimetry and Backscatter, Scattering, Optics.

Optics research presented is mostly focused on the subject of Polarization (waves). Pattern recognition research presented in the journal encompasses a variety of subjects, including Deep learning and Feature (computer vision). The journal focuses on Radiometer but the discussions also offer insight into other areas such as Microwave and Brightness temperature.

  • Remote sensing (46.21%)
  • Artificial intelligence (25.14%)
  • Synthetic aperture radar (20.40%)

What are the most cited papers published in the journal?

  • Permanent scatterers in SAR interferometry (3173 citations)
  • Classification of hyperspectral remote sensing images with support vector machines (2626 citations)
  • Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview (2457 citations)

Research areas of the most cited articles at IEEE Transactions on Geoscience and Remote Sensing:

The most cited papers mainly tackle studies in Remote sensing, Artificial intelligence, Synthetic aperture radar, Pattern recognition and Computer vision. While the published articles focused on Remote sensing, they were also able to explore topics like Radar, Meteorology, Satellite and Image resolution. While Synthetic aperture radar is the focus of the most cited publications, it also provides insights into the studies of Polarimetry, Radar imaging, Backscatter, Interferometry and Algorithm.

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

  • Artificial intelligence
  • Quantum mechanics
  • Optics

The previous edition focused in particular on these issues:

IEEE Transactions on Geoscience and Remote Sensing primarily tackles Artificial intelligence, Remote sensing, Pattern recognition, Hyperspectral imaging and Algorithm. Artificial intelligence study tackled is connected to the field of Computer vision. The Remote sensing research presented in IEEE Transactions on Geoscience and Remote Sensing explores the relationship between Image resolution and the closely related topic of Multispectral image.

The journal explores topics in Pattern recognition which can be helpful for research in disciplines like Artificial neural network, Pixel, Image (mathematics) and Spatial analysis. Concepts in Synthetic aperture radar, as well as related topics in Azimuth, are covered in the Algorithm research presented in IEEE Transactions on Geoscience and Remote Sensing. The journal encompasses presentations on Radar, specifically Clutter and Radar imaging.

The most cited articles from the last journal are:

  • Graph Convolutional Networks for Hyperspectral Image Classification (142 citations)
  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification (129 citations)
  • Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning (31 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 Transactions on Geoscience and Remote Sensing (based on the number of publications) are:

  • Liangpei Zhang (157 papers) published 38 papers at the last edition, 25 more than at the previous edition,
  • Lorenzo Bruzzone (149 papers) published 23 papers at the last edition, 14 more than at the previous edition,
  • Jocelyn Chanussot (91 papers) published 31 papers at the last edition, 23 more than at the previous edition,
  • Antonio Plaza (90 papers) published 20 papers at the last edition, 12 more than at the previous edition,
  • Licheng Jiao (86 papers) published 36 papers at the last edition, 28 more than at the previous 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 Transactions on Geoscience and Remote Sensing (based on the number of publications) are:

  • Goddard Space Flight Center (600 papers) published 19 papers at the last edition, 7 more than at the previous edition,
  • California Institute of Technology (541 papers) published 22 papers at the last edition, 8 more than at the previous edition,
  • Chinese Academy of Sciences (534 papers) published 177 papers at the last edition, 98 more than at the previous edition,
  • Wuhan University (438 papers) published 119 papers at the last edition, 66 more than at the previous edition,
  • Xidian University (399 papers) published 108 papers at the last edition, 45 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, 21.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.07% of all publications and 35.54% 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 Geoscience and Remote Sensing

As geoscience and remote sensing become increasingly integral to our understanding of the earth and its environment, numerous exciting career opportunities are emerging within this field. These extend beyond just research and academia, with many roles available in industry, government, and non-profit organizations.

For those who are inspired by the topics discussed within IEEE Transactions on Geoscience and Remote Sensing, but wondering what practical applications their knowledge could have, it might be worth considering a role such as a Preschool Teacher Assistant. This might seem unrelated, but the skills secured by advanced research, like learning to interpret complex data and mastering new technologies, are highly prized in many different sectors.

Becoming a teacher assistant can provide the opportunity to use your scientific knowledge to inspire the next generation. If this interests you, it's advisable to learn more about the specific teacher assistant certificate requirements in Rhode Island.

Beyond education, other career paths for those with expertise in geoscience and remote sensing could include roles in environmental consulting, geospatial analysis, satellite data management, and more. Whatever path you choose, you can be sure that the skills and knowledge you've gained in your research will serve you well and open many doors.

Top Publications

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

    (2021)
    1230 Citations
  • Remote Sensing Image Change Detection With Transformers

    Hao Chen;Zipeng Qi;Zhenwei Shi

    (2021)
    1184 Citations
  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

    Danfeng Hong;Zhu Han;Jing Yao;Lianru Gao

    (2021)
    1129 Citations
  • Align Deep Features for Oriented Object Detection

    Jiaming Han;Jian Ding;Jie Li;Gui-Song Xia

    (2021)
    889 Citations
  • A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

    Qian Shi;Mengxi Liu;Shengchen Li;Xiaoping Liu

    (2021)
    584 Citations
  • Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

    Unknown

    (2022)
    534 Citations
  • Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

    Sheng Wan;Chen Gong;Ping Zhong;Bo Du

    (2020)
    485 Citations
  • Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification

    Minghao Zhu;Licheng Jiao;Fang Liu;Shuyuan Yang

    (2021)
    439 Citations
  • Attentional Local Contrast Networks for Infrared Small Target Detection

    Yimian Dai;Yiquan Wu;Fei Zhou;Kobus Barnard

    (2021)
    425 Citations

Related Online Degrees & Career Pathways

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Choosing credible institutions is crucial. Opting for good online colleges ensures your degree is recognized, enhancing your job prospects and potential for future education.

Best Scientists Contributing to This Journal

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