World's Best Scientists 2026 revealed!
Geophysical Prospecting
H-index 19

Geophysical Prospecting

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 248 61 113 15

Additional Metrics

Number of Best Scientists*: 104
Documents by Best Scientists*: 161
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 100
SCIMAGO SJR: 0.631
Impact Factor: 1.8

Overview

Top Research Topics at Geophysical Prospecting?

The discussions in the journal mainly cover the fields of Mineralogy, Geophysics, Mathematical analysis, Algorithm and Regional geology. The studies in Mineralogy featured incorporate elements of Porosity, Amplitude, Electrical resistivity and conductivity, Attenuation and Anisotropy. Research in Optics and the interrelating topic of Geometry were among the subjects of interest in the Mathematical analysis studies discussed in Geophysical Prospecting.

Algorithm research featured in Geophysical Prospecting incorporates concerns from various other topics such as Inversion (meteorology) and Wavelet. The in-depth study on Inversion (meteorology) also explores topics in the intersecting field of Inverse problem. While Geophysical Prospecting focused on Regional geology, it was also able to explore topics like Engineering geology, Gemology, Environmental geology and Economic geology.

The featured Engineering geology study falls within the wider topic of Seismology. The research on Seismology discussed in it draws on the closely related field of Borehole. Geophysical Prospecting focuses on Economic geology as well as the interrelated topic of Igneous petrology.

  • Mineralogy (20.65%)
  • Geophysics (17.53%)
  • Mathematical analysis (13.92%)

What are the most cited papers published in the journal?

  • Rapid least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method1 (1918 citations)
  • Ground-penetrating radar for high-resolution mapping of soil and rock stratigraphy (1566 citations)
  • Specific surface area and pore‐size distribution in clays and shales (614 citations)

Research areas of the most cited articles at Geophysical Prospecting:

The most cited papers investigate areas of study like Mineralogy, Geophysics, Algorithm, Regional geology and Mathematical analysis. The journal publications focus on Mineralogy but the discussions also offer insight into other areas such as Porosity, Electrical resistivity and conductivity, Hydrogeology, Attenuation and Anisotropy. The Geophysics research presented in the most cited publications focuses mostly on Geometry and, on occasion, topics in Offset (computer science) and Amplitude.

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

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

The previous edition focused in particular on these issues:

Geophysical Prospecting is organized to address concerns in the fields of Algorithm, Anisotropy, Mechanics, Data processing and Acoustics. The concepts on Algorithm presented in it can also apply to other research fields, including Inversion (meteorology), Noise (signal processing), Image (mathematics), Point spread function and Coherence (statistics). Topics in Anisotropy were tackled in line with various other fields like Isotropy, Computational physics and Mathematical analysis.

It explores issues in Mathematical analysis which can be linked to other research areas like Amplitude versus offset and Inversion (discrete mathematics). The journal tackles studies in Fracture (geology) and the interrelated subject of Seismic wave and Porosity to gain insights into Mechanics. It explores research in Acoustics alongside concepts in Borehole and other areas of study in Vertical seismic profile.

The most cited articles from the last journal are:

  • Eigenrays in 3D heterogeneous anisotropic media, Part I: Kinematics (5 citations)
  • A fully unsupervised and highly generalized deep learning approach for random noise suppression (4 citations)
  • Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach (3 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 Geophysical Prospecting (based on the number of publications) are:

  • Alexey Stovas (40 papers) published 1 paper at the last edition, 6 less than at the previous edition,
  • Colin MacBeth (38 papers) absent at the last edition,
  • Tariq Alkhalifah (36 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Boris Gurevich (35 papers) published 4 papers at the last edition,
  • Bjørn Ursin (28 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 Geophysical Prospecting (based on the number of publications) are:

  • Delft University of Technology (123 papers) published 6 papers at the last edition, 6 less than at the previous edition,
  • National Geophysical Research Institute (105 papers) absent at the last edition,
  • Royal Dutch Shell (98 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Norwegian University of Science and Technology (98 papers) published 6 papers at the last edition, 3 less than at the previous edition,
  • Colorado School of Mines (83 papers) published 5 papers at the last edition, 3 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, 5.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.17% of all publications and 40.40% 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

  • Deep reflection seismic imaging of iron‐oxide deposits in the Ludvika mining area of central Sweden

    Magdalena Markovic;Georgiana Maries;Alireza Malehmir;Julius von Ketelhodt

    (2020)
    44 Citations
  • Three-dimensional Marchenko internal multiple attenuation on narrow azimuth streamer data of the Santos Basin, Brazil

    Myrna Staring;Kees Wapenaar

    (2020)
    38 Citations
  • Aerial magnetic mapping with an unmanned aerial vehicle and a fluxgate magnetometer: a new method for rapid mapping and upscaling from the field to regional scale

    Pauline Le Maire;Lionel Bertrand;Marc Munschy;Marc Diraison

    (2020)
    33 Citations
  • Vertical seismic profiling using distributed acoustic sensing with scatter‐enhanced fibre‐optic cable at the Cu–Au New Afton porphyry deposit, British Columbia, Canada

    Gilles Bellefleur;Ernst Schetselaar;Devin Wade;Don White

    (2020)
    33 Citations
  • Surface-wave analysis for static corrections in mineral exploration : A case study from central Sweden

    Myrto Papadopoulou;Federico Da Col;Binbin Mi;Emma Bäckström

    (2020)
    29 Citations
  • Wavelet transform‐based seismic facies classification and modelling: application to a geothermal target horizon in the NE German Basin

    Klaus Bauer;Ben Norden;Alexandra Ivanova;Manfred Stiller

    (2020)
    28 Citations
  • Seismic depth imaging of iron-oxide deposits and their host rocks in the Ludvika mining area of central Sweden

    Lena Bräunig;Stefan Buske;Alireza Malehmir;Emma Bäckström

    (2020)
    27 Citations
  • Improved structural interpretation of legacy 3D seismic data from Karee platinum mine (South Africa) through the application of novel seismic attributes

    Musa S.D. Manzi;Gordon R.J. Cooper;Alireza Malehmir;Raymond J. Durrheim

    (2020)
    26 Citations
  • Improved target illumination at Ludvika mines of Sweden through seismic-interferometric surface-wave suppression

    Florencia Balestrini;Deyan Draganov;Alireza Malehmir;Paul Marsden

    (2020)
    24 Citations
  • Separation of multi‐mode surface waves by supervised machine learning methods

    Jing Li;Yuqing Chen;Gerard T. Schuster

    (2020)
    23 Citations

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Best Scientists Contributing to This Journal