Jānis Ārents
Impact in
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- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Medical Laboratory Technology top 10%
Papers in
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- Robot Manipulation and Learning 8
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- Robotic Path Planning Algorithms 5
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Modris Greitāns (10 shared papers)Kaspars Ozols (2 shared papers)Valters Abolins (1 shared paper)Roberts Kadiķis (4 shared papers)Hugo Marques (1 shared paper)Paulo Marques (1 shared paper)Antonio Latella (1 shared paper)Andrius Dzedzickis (1 shared paper)
- Journals
- Applied Sciences (5 papers)Electronics (2 papers)Journal of Sensor and Actuator Networks (1 paper)Lecture notes in computer science (1 paper)Automatic Control and Computer Sciences (1 paper)
In The Last Decade
Jānis Ārents
14 papers receiving 320 citations
Jānis Ārents's Hit Papers
Peers
Comparison fields: 5 of 60
- Industrial and Manufacturing Engineering 122
- Medical Laboratory Technology 9
- Control and Systems Engineering 133
- Computer Vision and Pattern Recognition 81
- Radiological and Ultrasound Technology 11
Countries citing papers authored by Jānis Ārents
This map shows the geographic impact of Jānis Ārents'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 Jānis Ārents with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jānis Ārents more than expected).
Fields of papers citing papers by Jānis Ārents
This network shows the impact of papers produced by Jānis Ārents. 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 Jānis Ārents. The network helps show where Jānis Ārents may publish in the future.
Co-authors
The 11 scholars most cited alongside Jānis Ārents, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing Hit paper breakdown → | 2022 | 164 |
| 2 | 2021 | 102 | |
| 3 | 2022 | 13 | |
| 4 | 2018 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 |
About Jānis Ārents
Jānis Ārents is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 17 papers that have together received 332 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers), Advanced Neural Network Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Digital Transformation in Industry (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (122 citations), Medical Laboratory Technology (9 citations), Control and Systems Engineering (133 citations), Computer Vision and Pattern Recognition (81 citations) and Radiological and Ultrasound Technology (11 citations). Jānis Ārents has collaborated with scholars based in Latvia, Austria and Portugal. Frequent co-authors include Modris Greitāns, Kaspars Ozols, Valters Abolins, Roberts Kadiķis, Hugo Marques, Paulo Marques, Antonio Latella, Andrius Dzedzickis, Vytautas Bučinskas and Brijesh Patel. Their work appears in journals such as Applied Sciences, Electronics, Journal of Sensor and Actuator Networks, Lecture notes in computer science and Automatic Control and Computer Sciences.
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.