International Journal of Intelligent Systems Technologies and Applications

Aims & Scope

Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence.

IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems.

Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.

Topics covered include: -Robotics and mechatronics technologies- Artificial intelligence and knowledge based systems technologies- Real-time computing and its algorithms- Embedded systems technologies- Actuators and sensors- Mico/nano technologies- Sensing and multiple sensor fusion- Machine vision, image processing, pattern recognition and speech recognition and synthesis- Motion/force sensing and control- Intelligent product design, configuration and evaluation- Real time learning and machine behaviours- Fault detection, fault analysis and diagnostics- Digital communications and mobile computing- CAD and object oriented simulations.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	22681

Journal Citation Indicator

Year	Value
2024	47

SJR (SCImago Journal Rank)

Year	Value
2024	0.177

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	21

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Fusion of stereo vision and Time-Of-Flight imaging for improved 3D estimation

  Citation: 57

  Authors: Sigurjon Arni, Henrik, Rasmus

• Gesture recognition with a Time-Of-Flight camera

  Citation: 54

  Authors: Eva, Jochen, Joachim, Alexander

• Pose estimation and map building with a Time-Of-Flight-camera for robot navigation

  Citation: 34

  Authors: A., O., H., I., R.

• Mining manufacturing data using genetic algorithm-based feature set decomposition

  Citation: 29

  Authors: Lior

• Combining Time-Of-Flight depth and stereo images without accurate extrinsic calibration

  Citation: 26

  Authors: Uwe, Marc

• On-the-fly scene acquisition with a handy multi-sensor system

  Citation: 24

  Authors: Benjamin, Philipp, Wolfgang

• A theoretical and experimental investigation of the systematic errors and statistical uncertainties of Time-Of-Flight-cameras

  Citation: 23

  Authors: H., M., F.A., B.

• Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images

  Citation: 23

  Authors: Marvin, Martin, Andreas

• Calibration and registration for precise surface reconstruction with Time-Of-Flight cameras

  Citation: 23

  Authors: Stefan, Stefan

• An intelligent inventive system for personalised webpage recommendation based on ontology semantics

  Citation: 20

  Authors: Gerard, Ansaf, B.

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