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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Citations Report

Advances in Robotics & Automation : Citations & Metrics Report

Articles published in Advances in Robotics & Automation have been cited by esteemed scholars and scientists all around the world.

Advances in Robotics & Automation has got h-index 13, which means every article in Advances in Robotics & Automation has got 13 average citations.

Following are the list of articles that have cited the articles published in Advances in Robotics & Automation.

  2024 2023 2022 2021 2020 2019 2018

Total published articles

32 44 50 59 2 15 11

Research, Review articles and Editorials

0 10 45 2 0 8 8

Research communications, Review communications, Editorial communications, Case reports and Commentary

22 34 5 57 2 7 3

Conference proceedings

0 5 42 0 0 12 111

Citations received as per Google Scholar, other indexing platforms and portals

1196 821 168 180 98 85 63
Journal total citations count 1275
Journal impact factor 3.1
Journal 5 years impact factor 2.7
Journal cite score 2.43
Journal h-index 13
Journal h-index since 2019 10
Important citations

Mattar, E. (2014, March). PCA Learning for Non-brain Waves-Controlled Robotic Hand (Prosthesis): Grasp Stabilization and Control. In Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on (pp. 211-216). IEEE.

de Castro Aguiar, R. (2015). Myoelectric Prosthesis-Modelization and Control of a Bionic Arm.

Βουρλούμης, Κ. (2016). Σύστημα εύρεσης και παρακολούθησης κινούμενων ρομπÏŒτ με χρήση οπτικής πληροφορίας (Doctoral dissertation).

Kim, J., Kim, J., & Kim, J. (2016). Development of a Detachable and Compatible Power-Supplying Unit on a Manual Wheelchair for the Elder and Disabled. International Information Institute (Tokyo). Information, 19(9A), 3827.

Ahad, D. M. A., Sarkar, A. A., & Mannan, M. A. (2014). Mathematical Modeling and to carry out a prototype helpmate differential drive robot for hospital purpose. American Academic & Scholarly Research Journal, 6(6), 1.

DEMÄ°RBAÅž, F., & KALYONCU, M. (2017). DIFFERENTIAL DRIVE MOBILE ROBOT TRAJECTORY TRACKING WITH USING PID AND KINEMATIC BASED BACKSTEPPING CONTROLLER. Selcuk University Journal of Engineering, Science and Technology, 5(1), 1-15.

Amer, N. H., Zamzuri, H., Hudha, K., & Kadir, Z. A. (2016). Modelling and Control Strategies in Path Tracking Control for Autonomous Ground Vehicles: A Review of State of the Art and Challenges. Journal of Intelligent & Robotic Systems, 1-30.

Sharma, A., & Panwar, V. (2016, March). Control of mobile robot for trajectory tracking by sliding mode control technique. In Electrical, Electronics, and Optimization Techniques (ICEEOT), International Conference on (pp. 3988-3994). IEEE.

Cerkala, J., & Jadlovska, A. (2017). Application of neural models as controllers in mobile robot velocity control loop. Journal of Electrical Engineering, 68(1), 39-46.

Zengin, H. (2015). Control Oriented System Modelling and Instrumentation of Intelligent Walker-Human Systems.

Zengin, H., Zengin, N., & Fidan, B. (2016). Adaptive Motion Control of Nonholonomic Intelligent Walker-Human Systems. IFAC-PapersOnLine, 49(13), 312-317.

Rahmat, M. S., Hudha, K., Idris, A. M., & Amer, N. H. (2016). Sliding Mode Control of Target Tracking System for Two Degrees of Freedom Gun Turret Model. Advances in Military Technology, 11(1).

Bharghava, B. Research and Reviews: Journal of Engineering and Technology.

Baarath, K., Zakaria, M. A., Suparmaniam, M. V., & bin Abu, M. Y. (2017). Platooning strategy of mobile robot: simulation and experiment. In MATEC Web of Conferences (Vol. 90, p. 01060). EDP Sciences.

Lopez, J. A. (2016). Image Processing Based Control of Mobile Robotics (Doctoral dissertation, ARIZONA STATE UNIVERSITY).

Celso, F., Pinto, S. C., Okuyama, I. F., Máximo, M. R., & Viana, N. L. (2016, October). Performance Requirements Derivation for IEEE Very Small Size Competition. In Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR), 2016 XIII Latin American (pp. 109-114). IEEE.

Hanna, D. K., & Abdulkader Joukhadar, B. A Novel Control-Navigation System-Based Adaptive Optimal Controller & EKF Localization of DDMR.

Mija, S. J. (2016, July). Robust controller for trajectory tracking of a Mobile Robot. In Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conference on (pp. 1-6). IEEE.

Sidharthan, R. K., Kannan, R., Srinivasan, S., & Balas, V. E. (2016). Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping. Advances in Electrical and Computer Engineering, 16(2), 25-32.

Gibriel, A. M. A., Mohammed, O. S. A., & El Shaikh, J. B. A. E. (2016). Control of Differential Wheel Mobile Robot (Doctoral dissertation, Sudan University of Science and Technology).

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

Indexed In

 
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