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Cognitive Systems Research
H-index 17

Cognitive Systems Research

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 400 36 58 15

Additional Metrics

Number of Best Scientists*: 56
Documents by Best Scientists*: 77
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 73
SCIMAGO SJR: 0.604
Impact Factor: 2.4

Overview

Top Research Topics at Cognitive Systems Research?

The journal aims to foster the development of research in Artificial intelligence, Cognition, Cognitive science, Cognitive psychology and Machine learning. It holds forums on Artificial intelligence that merges themes from other disciplines such as Natural language processing, Task (project management) and Pattern recognition. In addition to Cognition research, Cognitive Systems Research aims to explore topics under Context (language use), Process (engineering) and Human–computer interaction.

The study on Human–computer interaction presented is investigated in conjunction with research in Robot. The concepts on Cognitive science presented in Cognitive Systems Research can also apply to other research fields, including Perception, Action (philosophy), Cognitive robotics, Embodied cognition and Social cognition.

  • Artificial intelligence (35.19%)
  • Cognition (22.94%)
  • Cognitive science (22.33%)

What are the most cited papers published in the journal?

  • A domain-independent framework for modeling emotion (599 citations)
  • Cognitive architectures: Research issues and challenges (526 citations)
  • AutoTutor: A simulation of a human tutor (332 citations)

Research areas of the most cited articles at Cognitive Systems Research:

The journal papers primarily tackle Artificial intelligence, Cognitive science, Cognition, Cognitive psychology and Machine learning. The studies tackled in the most cited publications, which mainly focus on Artificial intelligence, apply to Pattern recognition as well. The study of Cognitive science in the journal papers encompasses disciplines such as Social cognition, as well as fields such as Stigmergy, all of which overlap with one another.

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 Cognitive Systems Research (based on the number of publications) are:

  • Jan Treur (26 papers) absent at the last edition,
  • Ron Sun (9 papers) absent at the last edition,
  • Ning Zhong (8 papers) absent at the last edition,
  • Catholijn M. Jonker (7 papers) absent at the last edition,
  • U. Rajendra Acharya (7 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 Cognitive Systems Research (based on the number of publications) are:

  • VU University Amsterdam (26 papers) absent at the last edition,
  • University of Michigan (13 papers) absent at the last edition,
  • Rensselaer Polytechnic Institute (12 papers) absent at the last edition,
  • Carnegie Mellon University (12 papers) absent at the last edition,
  • University of Memphis (10 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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% 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 Path in Cognitive Systems Research

Embarking on a career in Cognitive Systems Research necessitates a strong foundation in relevant fields such as Artificial Intelligence, Cognitive Science, and Machine Learning, amongst others. It's crucial to gain comprehensive knowledge and experience in these areas to contribute valuably to Cognitive Systems Research.

Many researchers start their journey in academia, pursuing courses that provide a solid theoretical and practical grip over these subjects. For instance, individuals interested in Cognitive Systems Research often embark on careers such as teaching to further their understanding, contribute to the field, and shape the next generation of researchers.

Becoming a teacher, especially in intricate subjects related to Cognitive Systems Research, might take some time. For example, if you are looking at teaching opportunities in a state like Ohio, your journey might involve pursuing specific educational requirements and obtaining necessary certifications. Curious about the exact timeline? You could read more about how long does it take to become a teacher in Ohio to gain a clearer understanding.

Overall, establishing a career in Cognitive Systems Research is an engaging, challenging, and rewarding process. It calls for in-depth understanding, continuous learning, and diligent application of knowledge within various contexts.

Top Publications

  • Brain tumor detection using fusion of hand crafted and deep learning features

    Tanzila Saba;Ahmed Sameh Mohamed;Mohammed Ahmed El-Affendi;Javeria Amin;Javeria Amin

    (2020)
    421 Citations
  • Inception and ResNet features are (almost) equivalent

    David G. McNeely-White;J. Ross Beveridge;Bruce A. Draper

    (2020)
    107 Citations
  • Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

    Javaria Amin;Javaria Amin;Muhammad Sharif;Muhammad Almas Anjum;Mudassar Raza

    (2020)
    77 Citations
  • Reflections on dynamics, adaptation and control: A cognitive architecture for mental models

    Laila van Ments;Jan Treur

    (2021)
    47 Citations
  • Adaptive dynamical systems modelling of transformational organizational change with focus on organizational culture and organizational learning

    (2023)
    42 Citations
  • Neuroevolution-based autonomous robot navigation: A comparative study

    Seyed Mohammad Jafar Jalali;Sajad Ahmadian;Abbas Khosravi;Seyedali Mirjalili

    (2020)
    41 Citations
  • Transferring human emotions to robot motions using Neural Policy Style Transfer

    (2023)
    40 Citations
  • Using spotted hyena optimizer for training feedforward neural networks

    Qifang Luo;Jie Li;Yongquan Zhou;Ling Liao

    (2021)
    30 Citations
  • On the dynamics and adaptivity of mental processes: Relating adaptive dynamical systems and self-modeling network models by mathematical analysis

    Jan Treur

    (2021)
    27 Citations
  • Computational Modeling of Organisational Learning by Self-Modeling Networks

    Gülay Canbaloğlu;J. Treur;P.H.M.P. Roelofsma

    (2021)
    26 Citations

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Best Scientists Contributing to This Journal