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Geophysics
H-index 37

Geophysics

0016-8033

Published by: Society of Exploration Geophysicists (SEG)

https://seg.org/Publications/Journals/Geophysics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 105 134 358 27

Additional Metrics

Number of Best Scientists*: 234
Documents by Best Scientists*: 612
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 220
SCIMAGO SJR: 1.026
Impact Factor: 3.2

Overview

Top Research Topics at Geophysics?

The primary areas of discussion in Geophysics are Seismology, Mineralogy, Geophysics, Mathematical analysis and Algorithm. The research on Seismology featured in Geophysics combines topics in other fields like Amplitude, Reflection (physics) and Borehole. Porosity and Electrical resistivity and conductivity are some topics wherein Mineralogy research discussed in it have an impact.

The concepts on Mathematical analysis presented in Geophysics can also apply to other research fields, including Geometry and Optics. It dives deep in exploring the relationship between the study of Geometry and Anisotropy. In it, Inversion (meteorology) and Mathematical optimization are investigated in conjunction with one another to address concerns in Algorithm research.

Most of the works presented in the journal deals with Inversion (meteorology) but it intersects with the subject of Inverse problem.

  • Seismology (16.73%)
  • Mineralogy (11.61%)
  • Geophysics (9.76%)

What are the most cited papers published in the journal?

  • Weak elastic anisotropy (3268 citations)
  • Inversion of seismic reflection data in the acoustic approximation (2439 citations)
  • An overview of full-waveform inversion in exploration geophysics (2156 citations)

Research areas of the most cited articles at Geophysics:

The most cited papers tackle a plethora of topics, such as Mineralogy, Algorithm, Mathematical analysis, Geometry and Seismology. The Mathematical analysis research tackled in the published articles is interrelated with Optics which concerns subjects like Acoustics. The most cited publications with studies in Seismology featured incorporate elements of Geophysics and Borehole.

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

  • World War II
  • Quantum mechanics
  • Law

The previous edition focused in particular on these issues:

Geophysics explores disciplines such as Mathematical analysis, Seismology, Inversion (meteorology), Geophysics and Artificial intelligence. Mathematical analysis research presented is mostly focused on the subject of Wave equation. The study on Inversion (meteorology) featured in it expounds on the topic of Full waveform in particular.

The journal investigates Geophysics research which frequently intersects with Inversion (discrete mathematics). The Artificial intelligence study featured in it draws connections with the study of Pattern recognition.

The most cited articles from the last journal are:

  • Uncertainty quantification in fault detection using convolutional neural networks (12 citations)
  • An open-source framework for the implementation of large-scale integral operators with flexible, modern high-performance computing solutions: Enabling 3D Marchenko imaging by least-squares inversionIntegral operators on HPC (9 citations)
  • Mapping full seismic waveforms to vertical velocity profiles by deep learning (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 Geophysics (based on the number of publications) are:

  • George A. McMechan (165 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Tariq Alkhalifah (119 papers) published 8 papers at the last edition, 1 less than at the previous edition,
  • Ilya Tsvankin (100 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Sergey Fomel (95 papers) published 5 papers at the last edition, 2 less than at the previous edition,
  • Carlos Torres-Verdín (93 papers) published 3 papers at the last edition the same number as 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 Geophysics (based on the number of publications) are:

  • Colorado School of Mines (527 papers) published 16 papers at the last edition, 1 more than at the previous edition,
  • Stanford University (490 papers) published 9 papers at the last edition, 5 less than at the previous edition,
  • University of Texas at Austin (416 papers) published 17 papers at the last edition, 6 less than at the previous edition,
  • China University of Petroleum (308 papers) published 54 papers at the last edition, 6 more than at the previous edition,
  • Royal Dutch Shell (303 papers) published 7 papers at the last edition the same number as 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, 21.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.04% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.62% of all publications and 38.96% 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

  • Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

    Unknown

    (2022)
    101 Citations
  • A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data

    Dario Grana;Leonardo Azevedo;Mingliang Liu

    (2020)
    88 Citations
  • Application of machine learning to microseismic event detection in distributed acoustic sensing data

    Anna L. Stork;Alan F. Baird;Steve A. Horne;Garth Naldrett

    (2020)
    87 Citations
  • An unsupervised deep-learning method for porosity estimation based on poststack seismic dataDeep learning for porosity estimation

    Runhai Feng;Thomas Mejer Hansen;Dario Grana;Niels Balling

    (2020)
    85 Citations
  • Near-surface imaging from traffic-induced surface waves with dense linear arrays: an application in the urban area of Hangzhou, China

    (2021)
    78 Citations
  • Petrophysical properties prediction from prestack seismic data using convolutional neural networksPetrophysical properties using CNNs

    Vishal Das;Tapan Mukerji

    (2020)
    73 Citations
  • Uncertainty quantification in fault detection using convolutional neural networks

    Runhai Feng;Dario Grana;Niels Balling

    (2021)
    71 Citations
  • Integrating Deep Neural Networks with Full-waveform Inversion: Reparametrization, Regularization, and Uncertainty Quantification

    Weiqiang Zhu;Kailai Xu;Eric Darve;Biondo Biondi

    (2021)
    65 Citations
  • Seismic attribute selection for machine-learning-based facies analysis

    Jie Qi;Bo Zhang;Bin Lyu;Kurt Marfurt

    (2020)
    48 Citations
  • Applications of Deep Neural Networks in Exploration Seismology: a technical survey

    (2023)
    43 Citations

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Best Scientists Contributing to This Journal