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Annual Reviews in Control
H-index 42

Annual Reviews in Control

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 99 92 98 31
Mechanical and Aerospace Engineering 158 18 22 17
Engineering and Technology 344 39 45 23

Additional Metrics

Number of Best Scientists*: 178
Documents by Best Scientists*: 163
Top 100 Ranked Scientists*: 12
SCIMAGO H-index: 111
SCIMAGO SJR: 2.386
Impact Factor: 10.7

Overview

Top Research Topics at Annual Reviews in Control?

Annual Reviews in Control primarily tackles Control engineering, Control theory, Control (management), Control system and Systems engineering. In it, Field (computer science) and Fault detection and isolation are investigated in conjunction with one another to address concerns in Control engineering research. The journal explores research in Control theory and the adjacent study of Model predictive control.

Control (management) studies tackled cover an aspect of the field of Artificial intelligence.

  • Control engineering (21.08%)
  • Control theory (19.28%)
  • Control (management) (18.03%)

What are the most cited papers published in the journal?

  • Bibliographical review on reconfigurable fault-tolerant control systems (2010 citations)
  • Model-based fault-detection and diagnosis - status and applications § (1234 citations)
  • Survey on data-driven industrial process monitoring and diagnosis (862 citations)

Research areas of the most cited articles at Annual Reviews in Control:

The published articles tackle a plethora of topics, such as Control engineering, Control theory, Control system, Control (management) and Mathematical optimization. The most cited publications about Control engineering cover related areas such as Control theory and also touches on topics like Control (linguistics). The most cited papers explore issues in Control theory which can be linked to other research areas like Model predictive control and Design methods.

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

  • Artificial intelligence
  • Statistics
  • Law

The previous edition focused in particular on these issues:

The journal primarily focuses on research topics in Control (management), Econometrics, Epidemic model, Field (computer science) and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Topics in Control (management) were tackled in line with various other fields like Variety (cybernetics), Mathematical optimization, Systems engineering and Suspension (vehicle). Annual Reviews in Control facilitates discussions on Field (computer science) that incorporate concepts from other fields like Automation, Swarm behaviour, Control algorithm and Flocking (behavior).

The work on Minification tackled in it brings together disciplines like Control engineering, Dynamical systems theory and PID controller. Annual Reviews in Control explores research in Distributed computing and overlapping concepts in Control system to expand the discourse in Computation. The presentations focused mostly on Control theory in an attempt to further explore topics in Control theory.

The most cited articles from the last journal are:

  • Robust and optimal predictive control of the COVID-19 outbreak. (56 citations)
  • On an interval prediction of COVID-19 development based on a SEIR epidemic model. (20 citations)
  • Universal features of epidemic models under social distancing guidelines. (15 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 Annual Reviews in Control (based on the number of publications) are:

  • Hervé Panetto (13 papers) published 2 papers at the last edition,
  • Alexandre Dolgui (11 papers) absent at the last edition,
  • Arturo Molina (8 papers) published 1 paper at the last edition,
  • Shimon Y. Nof (7 papers) absent at the last edition,
  • Antonio M. Pascoal (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 Annual Reviews in Control (based on the number of publications) are:

  • Centre national de la recherche scientifique (27 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • University of Lorraine (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Imperial College London (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Massachusetts Institute of Technology (13 papers) absent at the last edition,
  • Delft University of Technology (13 papers) published 1 paper 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, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.19% of all publications and 40.48% 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

  • All you need to know about model predictive control for buildings

    Ján Drgoňa;Ján Drgoňa;Javier Arroyo;Iago Cupeiro Figueroa;David Blum

    (2020)
    769 Citations
  • Human factors in production and logistics systems of the future

    Fabio Sgarbossa;Eric H. Grosse;Eric H. Grosse;W. Patrick Neumann;Daria Battini

    (2020)
    286 Citations
  • Robust and optimal predictive control of the COVID-19 outbreak.

    Johannes Köhler;Lukas Schwenkel;Anne Koch;Julian Berberich

    (2021)
    278 Citations
  • A Time-Varying SIRD Model for the COVID-19 Contagion in Italy.

    Giuseppe Carlo Calafiore;Carlo Novara;Corrado Possieri

    (2020)
    229 Citations
  • Behavioral systems theory in data-driven analysis, signal processing, and control

    Ivan Markovsky;Florian Dörfler

    (2021)
    215 Citations
  • Model predictive control design for linear parameter varying systems: A survey

    Marcelo Menezes Morato;Julio E. Normey-Rico;Olivier Sename

    (2020)
    170 Citations
  • Formation control and coordination of multiple unmanned ground vehicles in normal and faulty situations: A review

    Mohamed A. Kamel;Xiang Yu;Youmin Zhang

    (2020)
    155 Citations
  • Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives

    (2021)
    117 Citations

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