World's Best Scientists 2026 revealed!
SoftwareX
H-index 26

SoftwareX

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 331 107 104 17

Additional Metrics

Number of Best Scientists*: 328
Documents by Best Scientists*: 260
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 49
SCIMAGO SJR: 0.483
Impact Factor: 2.4

Overview

Top Research Topics at SoftwareX?

SoftwareX primarily tackles Software, Python (programming language), Computational science, Artificial intelligence and MATLAB. Topics in Software explored in the journal were investigated in conjunction with research in Visualization, Data mining, Graphical user interface, Interface (computing) and Software engineering. It facilitates discussions on Python (programming language) that incorporate concepts from other fields like Algorithm and Open source.

The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning and Computer vision.

  • Software (36.58%)
  • Python (programming language) (22.32%)
  • Computational science (12.25%)

What are the most cited papers published in the journal?

  • GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers (7291 citations)
  • Recent developments in LIBXC - A comprehensive library of functionals for density functional theory (173 citations)
  • TauFactor: An open-source application for calculating tortuosity factors from tomographic data (153 citations)

Research areas of the most cited articles at SoftwareX:

The journal publications mostly deal with topics like Python (programming language), Software, Computational science, Programming language and Data mining. The journal papers explore topics in Software which can be helpful for research in disciplines like Data processing, Software deployment, Set (abstract data type), Real-time computing and Feature extraction. Issues in Computational science were discussed in the journal publications, taking into consideration concepts from other disciplines like Molecular simulation, Range (statistics), SIMD and Modular design.

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

  • Quantum mechanics
  • Artificial intelligence
  • Statistics

The previous edition focused in particular on these issues:

The journal facilitates discussions on Software, Python (programming language), Computational science, Artificial intelligence and MATLAB. Issues in Software were discussed, taking into consideration concepts from other disciplines like User interface, Gravitational wave, Computation, Software engineering and Visualization. SoftwareX focused on Gravitational wave research but expanded to cover Detector.

In the journal, Graphical user interface, Algorithm, Documentation and Code (cryptography) are investigated in conjunction with one another to address concerns in Python (programming language) research. The work on Artificial intelligence tackled in SoftwareX brings together disciplines like Machine learning, Computer vision and Pattern recognition.

The most cited articles from the last journal are:

  • Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo (69 citations)
  • Fundamental clustering algorithms suite (7 citations)
  • GWpy: A Python package for gravitational-wave astrophysics (5 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 SoftwareX (based on the number of publications) are:

  • Luigi Vanfretti (7 papers) absent at the last edition,
  • Maxime Baudette (6 papers) absent at the last edition,
  • Aiichiro Nakano (6 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Rajiv K. Kalia (6 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Priya Vashishta (6 papers) published 3 papers at the last edition, 2 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 SoftwareX (based on the number of publications) are:

  • Royal Institute of Technology (12 papers) absent at the last edition,
  • Max Planck Society (10 papers) published 3 papers at the last edition the same number as at the previous edition,
  • California Institute of Technology (9 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • University of California, Berkeley (9 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of Florida (8 papers) published 3 papers at the last edition, 1 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, 9.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.56% of all publications and 59.32% 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 Prospects: Becoming a Contributor to SoftwareX

Given the refined focus of SoftwareX on topics like software, AI, data mining, and Python, many aspiring researchers and contributors may be keen on making meaningful contributions to this esteemed journal with their novel findings and deep insights. A significant step towards this goal involves a robust understanding of the topic and its relevant fields, coupled with continuous learning and research.

If you come from an education background, particularly English teaching, then transitioning into research can be a unique opportunity for career growth. Certain prerequisites must be met, such as specific education requirements, certifications or exclusive training programs. Becoming a teacher in certain regions have explicit prerequisites. For instance, the requirements to become an English teacher in Arizona are clearly outlined on our website requirements to become an English teacher in Arizona.

Similarly, to make meaningful contributions to SoftwareX, it's important to have a clear understanding of your desired research field, acquire the necessary skills, and stay updated with the latest industry trends and updates. By positioning yourself well through continuous learning and practical execution, you too can become a contributor to this reputable platform.

Top Publications

  • TSFEL: Time Series Feature Extraction Library

    Marília Barandas;Duarte Folgado;Letícia Fernandes;Sara Santos

    (2020)
    459 Citations
  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

    William F. Godoy;Norbert Podhorszki;Ruonan Wang;Chuck Atkins

    (2020)
    212 Citations
  • The Contiki-NG open source operating system for next generation IoT devices

    Unknown

    (2022)
    158 Citations
  • Sherpa: Robust hyperparameter optimization for machine learning

    Lars Hertel;Julian Collado;Peter J. Sadowski;Jordan Ott

    (2020)
    102 Citations
  • MOBOpt — multi-objective Bayesian optimization

    Paulo Paneque Galuzio;Emerson Hochsteiner de Vasconcelos Segundo;Leandro dos Santos Coelho;Leandro dos Santos Coelho;Viviana Cocco Mariani;Viviana Cocco Mariani

    (2020)
    50 Citations
  • pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm

    Leon M. Aksman;Leon M. Aksman;Peter A. Wijeratne;Neil P. Oxtoby;Arman Eshaghi;Arman Eshaghi

    (2021)
    38 Citations
  • WLDT: A general purpose library to build IoT digital twins

    Marco Picone;Marco Mamei;Franco Zambonelli

    (2021)
    35 Citations
  • Bembel: The fast isogeometric boundary element C++ library for Laplace, Helmholtz, and electric wave equation

    Jürgen Dölz;Helmut Harbrecht;Stefan Kurz;Michael D. Multerer

    (2020)
    26 Citations
  • histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing

    (2022)
    26 Citations
  • TSSEARCH: Time Series Subsequence Search Library

    (2022)
    26 Citations

Related Online Degrees & Career Pathways

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Lastly, consulting lists of the best college majors to pursue can help you understand which programs align best with your career goals. Computer Science consistently ranks highly due to its versatility and high demand across industries.

Best Scientists Contributing to This Journal

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