Jacky Baltes

85 papers receiving 1.0k citations

Jacky Baltes's Hit Papers

Challenges and Future Directions of Big Data and Artificial Intelligence in Education 2020 · 324 citations
3240+2+4Years since publication100200300

Peers

Jacky Baltes
Comparison fields: 5 of 111
  • Health Informatics 47
  • Computer Science Applications 145
  • Computer Vision and Pattern Recognition 373
  • Control and Systems Engineering 240
  • Media Technology 86
Replace Chris Messom with:
Chris Messom New Zealand
Khandakar Ahmed Australia
Gerald Steinbauer Austria
Kai Li China
Norisma Idris Malaysia
Alessandro Bogliolo Italy
Minrui Xu China
Chonho Lee Singapore
Yongfeng Qian China
Jessica Van Brummelen United States
Jacky Baltes relative to Chris Messom New Zealand Chris Messom's profile →
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Citations per year

Countries citing papers authored by Jacky Baltes

Since Specialization
Citations

This map shows the geographic impact of Jacky Baltes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacky Baltes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacky Baltes more than expected).

Fields of papers citing papers by Jacky Baltes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacky Baltes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacky Baltes. The network helps show where Jacky Baltes may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacky Baltes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacky Baltes Line = papers co-authored together Jacky Baltes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Hit paper breakdown →
2020324
2 201089
3 201969
4 201538
5 201931
6 201727
7 201625
8 200625
9 201024
10 202022
11
Active Balancing Using Gyroscopes for a Small Humanoid Robot
200421
12 201220
13 202120
14 201719
15 201918
16 201117
17 201317
18 200315
19 202115
20 202315

About Jacky Baltes

Jacky Baltes is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (34 papers), Robotic Path Planning Algorithms (24 papers), Robot Manipulation and Learning (15 papers), Robotics and Sensor-Based Localization (14 papers), Prosthetics and Rehabilitation Robotics (12 papers), Reinforcement Learning in Robotics (11 papers), Human Pose and Action Recognition (10 papers) and Modular Robots and Swarm Intelligence (8 papers). The work is most often cited by research in Health Informatics (47 citations), Computer Science Applications (145 citations), Computer Vision and Pattern Recognition (373 citations), Control and Systems Engineering (240 citations) and Media Technology (86 citations). Jacky Baltes has collaborated with scholars based in Canada, Taiwan and Iran. Frequent co-authors include Saeed Saeedvand, John Anderson, Hadi S. Aghdasi, Janice D. Gobert, Rodrigo da Silva Guerra, Hui Luan, Ping Li, Peter Géczy, Hollis Lai and Stephen J.H. Yang. Their work appears in journals such as The Knowledge Engineering Review, Applied Intelligence, IEEE Robotics & Automation Magazine, Robotics and Autonomous Systems and Applied Soft Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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