World's Best Scientists 2026 revealed!
Systems Engineering
H-index 9

Systems Engineering

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 965 14 28 8

Additional Metrics

Number of Best Scientists*: 22
Documents by Best Scientists*: 39
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 61
SCIMAGO SJR: 0.426
Impact Factor: 1.6

Overview

Top Research Topics at Systems Engineering?

Systems Engineering aims to foster the development of research in Mathematical optimization, Systems engineering, Microeconomics, Econometrics and Operations research. Discussions in it are anchored in the subject of Mathematical optimization and the similar topic of Algorithm. Many of the studies tackled connect Systems engineering with a similar field of study like Process (engineering).

The Microeconomics study featured in Systems Engineering draws parallels with the field of Supply chain. The study on Econometrics presented is investigated in conjunction with research in Financial economics. The in-depth study on Financial economics also explores topics in the intersecting field of Stock market.

  • Mathematical optimization (12.41%)
  • Systems engineering (9.57%)
  • Microeconomics (9.10%)

What are the most cited papers published in the journal?

  • Architecting principles for systems-of-systems (1364 citations)
  • Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle (263 citations)
  • Defining changeability: Reconciling flexibility, adaptability, scalability, modifiability, and robustness for maintaining system lifecycle value (247 citations)

Research areas of the most cited articles at Systems Engineering:

The most cited publications generally zeroe in on subjects such as Systems engineering, Operations research, Process (engineering), System of systems and Systems design. The works on Systems engineering tackled in the most cited articles bring together disciplines like Context (language use), Complex system, Systems architecture, Engineering design process and Flexibility (engineering). While work presented in the most cited publications provide substantial information on Systems design, it also covers topics in Identification (information), Mathematical optimization, Management science and Systems modeling.

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

  • Law
  • Statistics
  • Artificial intelligence

The previous edition focused in particular on these issues:

Systems Engineering generally zeroes in on subjects such as Software engineering, Model-based systems engineering, Distributed computing, Systems design and Systems Modeling Language. While Software engineering is the focus of Systems Engineering, it also provided insights into the studies of Container (abstract data type), Requirement prioritization, Obsolescence and Software requirements. The work on Model-based systems engineering tackled in the journal brings together disciplines like Government, Modularity (networks), Software and Categorization.

Some problems in Distributed computing that were presented in it overlapped with concepts under Resilience (network), Dynamic programming, Order (exchange), Vertical integration and System of systems. The research on System of systems tackled can also make contributions to studies in the areas of Ontology (information science), Proposition, Ecology (disciplines), Degree (graph theory) and Product-service system. The studies on Systems design discussed can also contribute to research in the domains of State (computer science), Human–computer interaction, Analytics, Data science and Engineering design process.

The most cited articles from the last journal are:

  • Value and benefits of model-based systems engineering (MBSE): Evidence from the literature (11 citations)
  • Modeling a predictive maintenance management architecture to meet industry 4.0 requirements: A case study (4 citations)
  • NFR‐aware prioritization of software requirements (2 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 Systems Engineering (based on the number of publications) are:

  • Thomas A. Mazzuchi (25 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Shahram Sarkani (24 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Yacov Y. Haimes (18 papers) absent at the last edition,
  • Chen Xiao-hong (18 papers) absent at the last edition,
  • Olivier de Weck (14 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 Systems Engineering (based on the number of publications) are:

  • Central South University (247 papers) absent at the last edition,
  • Hunan University (119 papers) absent at the last edition,
  • Xi'an Jiaotong University (100 papers) absent at the last edition,
  • Tianjin University (85 papers) absent at the last edition,
  • Nanjing University of Aeronautics and Astronautics (81 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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.00% of all publications and 50.00% 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.

Top Publications

  • Technology readiness levels: Shortcomings and improvement opportunities

    Alison L. Olechowski;Steven D. Eppinger;Nitin Joglekar;Katharina Tomaschek

    (2020)
    84 Citations
  • Handling the COVID-19 crisis: Toward an agile model-based systems approach

    Olivier de Weck;Daniel Krob;Li Lefei;Pao Chuen Lui

    (2020)
    22 Citations
  • Comparative analysis of a model-based systems engineering approach to a traditional systems engineering approach for architecting a robotic space system through knowledge categorization

    Paulo J. Younse;Jessica E. Cameron;Thomas H. Bradley

    (2021)
    16 Citations
  • Autonomous driving systems hardware and software architecture exploration: optimizing latency and cost under safety constraints

    Anne Collin;Afreen Siddiqi;Yuto Imanishi;Eric Rebentisch

    (2020)
    15 Citations
  • Systems modeling language extension to support modeling of human-agent teams

    Michael E. Miller;John M. McGuirl;Michael F. Schneider;Thomas C. Ford

    (2020)
    12 Citations
  • A systems perspective on contact centers and customer service reliability modeling

    Rodrigo Andrade;Somayeh Moazeni;Jose Emmanuel Ramirez-Marquez

    (2020)
    12 Citations
  • A methodology for identifying flexible design opportunities in large‐scale systems

    David Allaverdi;Tyson R. Browning

    (2020)
    12 Citations
  • A stakeholder framework for evaluating the ‐ilities of autonomous behaviors in complex adaptive systems

    Andre Douglas;Andre Douglas;Thomas A. Mazzuchi;Shahram Sarkani

    (2020)
    11 Citations
  • A resilience systemic model for assessing critical supply chain disruptions

    (2022)
    8 Citations
  • Conceptual data model for system resilience characterization

    Alexander Laun;Alexander Laun;Thomas A. Mazzuchi;Shahram Sarkani

    (2021)
    8 Citations

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