World's Best Scientists 2026 revealed!
Earth Science Informatics
H-index 22

Earth Science Informatics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 304 33 44 12
Environmental Sciences 585 31 36 7
Engineering and Technology 778 21 32 11

Additional Metrics

Number of Best Scientists*: 146
Documents by Best Scientists*: 171
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 44
SCIMAGO SJR: 0.635
Impact Factor: 3

Overview

Top Research Topics at Earth Science Informatics?

The journal was organized to reinforce research efforts on Ontology (information science), Artificial intelligence, Remote sensing, Data mining and Algorithm. The studies on Ontology (information science) discussed can also contribute to research in the domains of Metadata, Geospatial analysis and Data science. The work on Artificial intelligence tackled in Earth Science Informatics brings together disciplines like Machine learning, Computer vision and Pattern recognition.

The journal centers on topics in Remote sensing, with a focus on Remote sensing (archaeology).

  • Ontology (information science) (17.69%)
  • Artificial intelligence (14.55%)
  • Remote sensing (10.84%)

What are the most cited papers published in the journal?

  • Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS (204 citations)
  • Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (151 citations)
  • DrinC: a software for drought analysis based on drought indices (107 citations)

Research areas of the most cited articles at Earth Science Informatics:

The journal papers cover a variety of subjects, including Ontology (information science), Remote sensing, Hydrology, Artificial intelligence and Data science. The journal publications focus on Remote sensing but the discussions also offer insight into other areas such as Terrain and Land use. The studies on Artificial intelligence discussed at the journal publications can also contribute to research in the domains of Machine learning and Pattern recognition.

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 Earth Science Informatics (based on the number of publications) are:

  • Peter Fox (8 papers) absent at the last edition,
  • Todd King (7 papers) absent at the last edition,
  • Tom Narock (7 papers) absent at the last edition,
  • Peng Yue (6 papers) absent at the last edition,
  • Liang Wu (6 papers) published 2 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 Earth Science Informatics (based on the number of publications) are:

  • Chinese Academy of Sciences (28 papers) published 11 papers at the last edition, 3 more than at the previous edition,
  • Wuhan University (19 papers) absent at the last edition,
  • Nanjing University (17 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • China University of Geosciences (Wuhan) (17 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • University of Tehran (16 papers) published 9 papers at the last edition, 7 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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.24% of all publications and 56.47% 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

  • Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India

    Logesh Natarajan;Nagulan Sivagnanam;Tune Usha;Lakshumanan Chokkalingam

    (2021)
    102 Citations
  • Flood susceptibility assessment using extreme gradient boosting (EGB), Iran

    Sajjad Mirzaei;Mehdi Vafakhah;Biswajeet Pradhan;Biswajeet Pradhan;Biswajeet Pradhan;Seyed Jalil Alavi

    (2021)
    79 Citations
  • Multi-influencing factor method for delineation of groundwater potential zones using remote sensing and GIS techniques in the western part of Perambalur district, southern India

    Subramaniyan Anbarasu;Karthikeyan Brindha;Lakshmanan Elango

    (2020)
    62 Citations
  • Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models

    (2022)
    56 Citations
  • Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia

    Saeed AlQadhi;Javed Mallick;Akanksha Balha;Ahmed Ali Bindajam

    (2021)
    52 Citations
  • Air temperature forecasting using artificial neural network for Ararat valley

    (2021)
    49 Citations
  • OpenAltimetry - rapid analysis and visualization of Spaceborne altimeter data

    Siri Jodha S. Khalsa;Adrian Borsa;Viswanath Nandigam;Minh Phan

    (2020)
    46 Citations
  • Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion

    Vahid Nourani;Vahid Nourani;Hüseyin Gökçekuş;Tagesse Gichamo

    (2021)
    44 Citations
  • Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study

    Deepak Kumar;Thendiyath Roshni;Anshuman Singh;Madan Kumar Jha

    (2020)
    40 Citations
  • Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV

    Niels S. Anders;Mike Smith;Juha Suomalainen;Erik Cammeraat

    (2020)
    40 Citations

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