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Near Surface Geophysics
H-index 11

Near Surface Geophysics

1569-4445

Published by: European Association of Geoscientists and Engineers

https://www.earthdoc.org/content/journals/nsg

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 322 34 48 11

Additional Metrics

Number of Best Scientists*: 56
Documents by Best Scientists*: 57
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 54
SCIMAGO SJR: 0.487
Impact Factor: 1.6

Overview

Top Research Topics at Near Surface Geophysics?

Mineralogy, Hydrogeology, Regional geology, Ground-penetrating radar and Economic geology are the subjects of interest in the journal. While the journal focused on Mineralogy, it was also able to explore topics like Spectral induced polarisation, Electrical resistivity and conductivity, Induced polarization, Inversion (meteorology) and Amplitude. The overlapping concepts between Soil science and Water content are the key highlights of Hydrogeology study.

It holds forums on Regional geology that merges themes from other disciplines such as Engineering geology and Environmental geology. The studies in Engineering geology featured incorporate elements of Geotechnical engineering and Geophysics. In the journal, Excavation, Remote sensing and Antenna (radio) are investigated in conjunction with one another to address concerns in Ground-penetrating radar research.

The studies on Economic geology discussed can also contribute to research in the domains of Petrology, Gemology, Palaeogeography, Igneous petrology and Borehole. The concepts on Seismology presented in it can also apply to other research fields, including Reflection (physics) and Surface wave. Specifically, studies on Bedrock are prevalent in the Geomorphology works discussed.

  • Mineralogy (29.82%)
  • Hydrogeology (24.77%)
  • Regional geology (22.36%)

What are the most cited papers published in the journal?

  • Surface-wave inversion using a direct search algorithm and its application to ambient vibration measurements (267 citations)
  • Surface-wave method for near-surface characterization: a tutorial (249 citations)
  • A review of helicopter‐borne electromagnetic methods for groundwater exploration (171 citations)

Research areas of the most cited articles at Near Surface Geophysics:

The journal articles mainly deal with areas of study such as Mineralogy, Regional geology, Engineering geology, Economic geology and Hydrogeology. Time domain, Spectral induced polarisation, Ground-penetrating radar and Electrical resistivity and conductivity are some topics wherein Mineralogy research discussed in the published articles has an impact. The most cited articles explore issues in Engineering geology which can be linked to other research areas like Surface wave and Geophysics.

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

  • Erosion
  • Sedimentary rock
  • Groundwater

The previous edition focused in particular on these issues:

Electrical resistivity tomography, Borehole, Inversion (meteorology), Electrical resistivity and conductivity and Geophysics are among the topics commonly tackled in Near Surface Geophysics. Electrical resistivity tomography research presented in the journal encompasses a variety of subjects, including Landslide, Bedrock, Geomorphology, Soil science and Smoothness. The work on Inversion (meteorology) tackled in Near Surface Geophysics brings together disciplines like Time domain, Global optimization, Particle swarm optimization, Residual and Joint (geology).

The presented Electrical resistivity and conductivity research focuses mostly on Seismology and, on occasion, topics in Rock mass classification, Extraction (military) and Municipal or urban engineering. In Near Surface Geophysics, Line shift and Data processing are investigated in conjunction with one another to address concerns in Geophysics research. It explores topics in Geophysical survey (archaeology) which can be helpful for research in disciplines like Hydrogeology, Inference, Field (geography) and Interpolation.

The most cited articles from the last journal are:

  • 4D quantification of alpine permafrost degradation in steep rock walls using a laboratory-calibrated electrical resistivity tomography approach (4 citations)
  • Investigation of coseismic liquefaction-induced ground deformation associated with the 2019 Mw 5.8 Mirpur, Pakistan, earthquake using near-surface electrical resistivity tomography and geological data (3 citations)
  • A geostatistical Markov chain Monte Carlo inversion algorithm for electrical resistivity tomography (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 Near Surface Geophysics (based on the number of publications) are:

  • Torleif Dahlin (16 papers) published 1 paper at the last edition,
  • Ugur Yaramanci (16 papers) absent at the last edition,
  • Harry Vereecken (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Esben Auken (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Sébastien Lambot (13 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 Near Surface Geophysics (based on the number of publications) are:

  • Aarhus University (26 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Leibniz Association (21 papers) absent at the last edition,
  • Forschungszentrum Jülich (18 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Technical University of Berlin (16 papers) absent at the last edition,
  • Keele University (16 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, 2.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.20% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.07% of all publications and 60.98% 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

  • Four‐dimensional electrical resistivity tomography for continuous, near‐real‐time monitoring of a landslide affecting transport infrastructure in British Columbia, Canada

    Jessica Holmes;Jessica Holmes;Jonathan Chambers;Philip Meldrum;Paul Wilkinson

    (2020)
    46 Citations
  • High resolution 3D subsurface mapping using a towed transient electromagnetic system ‐ tTEM: case studies

    Pradip Kumar Maurya;Anders Vest Christiansen;Jesper Pedersen;Esben Auken

    (2020)
    29 Citations
  • Measuring vertical soil water content profiles by combining horizontal borehole and dispersive surface ground penetrating radar data

    Yi Yu;Anja Klotzsche;Lutz Weihermüller;Johan Alexander Huisman

    (2020)
    25 Citations
  • 4D quantification of alpine permafrost degradation in steep rock walls using a laboratory-calibrated electrical resistivity tomography approach

    Riccardo Scandroglio;Daniel Draebing;Daniel Draebing;Maike Offer;Michael Krautblatter

    (2021)
    24 Citations
  • Electrical resistivity monitoring of river–groundwater interactions in a Chalk river and neighbouring riparian zone

    P. McLachlan;J. Chambers;S. Uhlemann;J. Sorensen

    (2020)
    20 Citations
  • Diffraction pattern recognition using deep semantic segmentation

    (2022)
    20 Citations
  • Characterization of silty to fine-sandy sediments with SH waves: full waveform inversion in comparison with other geophysical methods

    Michaela Schwardt;Daniel Köhn;Tina Wunderlich;Dennis Wilken

    (2020)
    17 Citations
  • Misinterpretation of velocity pull‐ups caused by high‐velocity infill of tunnel valleys in the southern Baltic Sea

    Laura Frahm;Christian Hübscher;Arne Warwel;Jonas Preine

    (2020)
    14 Citations
  • Enhancing stratigraphic, structural and dissolution features in GPR images of carbonate karst through data processing

    Josibel Gomes de Oliveira;Walter Eugenio de Medeiros;Walter Eugenio de Medeiros;Flávio Lemos de Santana;Francisco Hilário Rego Bezerra

    (2020)
    12 Citations
  • Surface deployment of DAS systems: coupling strategies and comparisons to geophone data

    (2022)
    12 Citations

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Best Scientists Contributing to This Journal