The Journal of Robotics, Networking and Artificial Life publishes ori-ginal research articles and reviews on the development of new technolo-gies in the fields of robotics, networking and artificial life. In particular, computer-based simulation and hardware-oriented submissions are also welcome. The journal covers a broad multidisciplinary field, including areas such as:
• Artificial intelligence & complexity
• Artificial living
• Artificial mind research
• Artificial nervous systems for robots
• Artificial sciences
• Augmented reality
• Bipedal robots
• Brain science and computing
• Chaos
• Cognitive science
• Computational molecular biology
• Computer graphics
• Data mining
• Disaster robotics
• DNA computing
• Empirical research on network and MOT
• Environment navigation and localization
• Evolutionary computations
• Facial expression analysis
• Foundation of computation and its applications
• Fuzzy control
• Genetic algorithms
• Human-welfare robotics
• Image processing
• Insect-like aero vehicles
• Intelligence in biological systems
• Intelligent control
• Management of technology
• Medical surgical robots
• Micro-machines
• Multi-agent systems
• Music recommendations
• Nano-biology
• Nano-robotics
• Networking
• Neural circuits
• Neuro-computers
• Neuroscience
• Pattern recognition
• Quantum computing
• Reinforcement learning & genetic programming
• Robotics
• Software development support methods
• System cybernetics
• Unmanned underwater vehicles
• Unmanned aerial systems technologies
• Unmanned aerial systems design, control and navigation
• Unmanned aero vehicles
• Virtual reality
• Visualization
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Quartiles
The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
Category
Year
Quartile
Artificial Intelligence
2021
Q4
Artificial Intelligence
2022
Q4
Artificial Intelligence
2023
Q4
Computer Networks and Communications
2021
Q4
Computer Networks and Communications
2022
Q4
Computer Networks and Communications
2023
Q4
SJR
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from
It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
Year
SJR
2021
0.159
2022
0.144
2023
0.165
Total Documents
Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.
Year
Documents
2019
50
2020
60
2021
63
2022
72
2023
15
Citations per document
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
Cites per document
Year
Value
Cites / Doc. (4 years)
2019
0.000
Cites / Doc. (4 years)
2020
0.460
Cites / Doc. (4 years)
2021
0.436
Cites / Doc. (4 years)
2022
0.607
Cites / Doc. (4 years)
2023
0.445
Cites / Doc. (3 years)
2019
0.000
Cites / Doc. (3 years)
2020
0.460
Cites / Doc. (3 years)
2021
0.436
Cites / Doc. (3 years)
2022
0.607
Cites / Doc. (3 years)
2023
0.436
Cites / Doc. (2 years)
2019
0.000
Cites / Doc. (2 years)
2020
0.460
Cites / Doc. (2 years)
2021
0.436
Cites / Doc. (2 years)
2022
0.512
Cites / Doc. (2 years)
2023
0.370
Total Cites Self-Cites
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.
Cites
Year
Value
Self Cites
2019
0
Self Cites
2020
2
Self Cites
2021
9
Self Cites
2022
12
Self Cites
2023
3
Total Cites
2019
0
Total Cites
2020
23
Total Cites
2021
48
Total Cites
2022
105
Total Cites
2023
85
External Cites per Doc Cites per Doc
Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years.
External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
Cites
Year
Value
External Cites per document
2019
0
External Cites per document
2020
0.420
External Cites per document
2021
0.355
External Cites per document
2022
0.538
External Cites per document
2023
0.421
Cites per document
2019
0.000
Cites per document
2020
0.460
Cites per document
2021
0.436
Cites per document
2022
0.607
Cites per document
2023
0.436
% International Collaboration
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Year
International Collaboration
2019
12.00
2020
10.00
2021
12.70
2022
4.17
2023
13.33
Citable documents Non-citable documents
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Documents
Year
Value
Non-citable documents
2019
0
Non-citable documents
2020
0
Non-citable documents
2021
0
Non-citable documents
2022
0
Non-citable documents
2023
0
Citable documents
2019
0
Citable documents
2020
50
Citable documents
2021
110
Citable documents
2022
173
Citable documents
2023
195
Cited documents Uncited documents
Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.
Documents
Year
Value
Uncited documents
2019
0
Uncited documents
2020
31
Uncited documents
2021
77
Uncited documents
2022
106
Uncited documents
2023
133
Cited documents
2019
0
Cited documents
2020
19
Cited documents
2021
33
Cited documents
2022
67
Cited documents
2023
62
% Female Authors
Evolution of the percentage of female authors.
Year
Female Percent
2019
13.57
2020
20.13
2021
20.75
2022
22.29
2023
21.43
Documents cited by public policy (Overton)
Evolution of the number of documents cited by public policy documents according to Overton database.
Documents
Year
Value
Overton
2019
1
Overton
2020
0
Overton
2021
0
Overton
2022
0
Overton
2023
0
Documents related to SDGs (UN)
Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.
Documents
Year
Value
SDG
2019
5
SDG
2020
7
SDG
2021
10
SDG
2022
15
SDG
2023
2
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Universities and research institutions in Japan
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