Jānis Ārents

556 total citations · 1 hit paper
14 papers, 268 citations indexed

About

Jānis Ārents is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Jānis Ārents has authored 14 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Jānis Ārents's work include Robot Manipulation and Learning (8 papers), Robotics and Sensor-Based Localization (5 papers) and Robotic Path Planning Algorithms (5 papers). Jānis Ārents is often cited by papers focused on Robot Manipulation and Learning (8 papers), Robotics and Sensor-Based Localization (5 papers) and Robotic Path Planning Algorithms (5 papers). Jānis Ārents collaborates with scholars based in Latvia, Lithuania and China. Jānis Ārents's co-authors include Modris Greitāns, Kaspars Ozols, Valters Abolins, Paulo Marques, Hugo Marques, Brijesh Patel, Andrius Dzedzickis, Po Ting Lin and Vytautas Bučinskas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Electronics.

In The Last Decade

Jānis Ārents

11 papers receiving 256 citations

Hit Papers

Smart Industrial Robot Control Trends, Challenges and Opp... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jānis Ārents Latvia 6 107 98 66 39 39 14 268
Takuya Kiyokawa Japan 9 105 1.0× 141 1.4× 55 0.8× 36 0.9× 45 1.2× 36 344
Ruobing Wang China 9 125 1.2× 78 0.8× 67 1.0× 30 0.8× 59 1.5× 23 288
Andreas Pichler Austria 11 154 1.4× 141 1.4× 85 1.3× 57 1.5× 32 0.8× 51 327
Kashish Gupta Canada 6 101 0.9× 87 0.9× 53 0.8× 36 0.9× 37 0.9× 15 261
Chengxi Li Hong Kong 5 88 0.8× 158 1.6× 63 1.0× 42 1.1× 36 0.9× 9 283
Luis Piardi Portugal 10 73 0.7× 116 1.2× 59 0.9× 36 0.9× 28 0.7× 33 279
Mohamad Bdiwi Germany 8 149 1.4× 110 1.1× 52 0.8× 62 1.6× 51 1.3× 50 288
Dionisis Andronas Greece 11 108 1.0× 130 1.3× 34 0.5× 34 0.9× 48 1.2× 20 248
Ana Djuric United States 8 183 1.7× 154 1.6× 40 0.6× 75 1.9× 70 1.8× 42 378
Andrea Casalino Italy 9 148 1.4× 141 1.4× 64 1.0× 63 1.6× 35 0.9× 14 340

Countries citing papers authored by Jānis Ārents

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jānis Ārents

This figure shows the co-authorship network connecting the top 25 collaborators of Jānis Ārents. A scholar is included among the top collaborators of Jānis Ārents based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jānis Ārents. Jānis Ārents is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ārents, Jānis, et al.. (2024). Towards Open-Set NLP-Based Multi-Level Planning for Robotic Tasks. Applied Sciences. 14(22). 10717–10717.
2.
Ārents, Jānis, et al.. (2024). Annotating SLAM data sets with Apriltag markers. 438–442.
3.
Ārents, Jānis, et al.. (2023). Robotic System for Post Office Package Handling. Applied Sciences. 13(13). 7643–7643. 3 indexed citations
4.
Ārents, Jānis, et al.. (2023). Constructing Maps for Autonomous Robotics: An Introductory Conceptual Overview. Electronics. 12(13). 2925–2925. 6 indexed citations
5.
Ārents, Jānis, Vytautas Bučinskas, Andrius Dzedzickis, et al.. (2023). A Vision-Based Micro-Manipulation System. Applied Sciences. 13(24). 13248–13248.
6.
Ārents, Jānis, et al.. (2022). A Motion Capture and Imitation Learning Based Approach to Robot Control. Applied Sciences. 12(14). 7186–7186. 3 indexed citations
7.
Ārents, Jānis, et al.. (2022). Sim2Real image translation to improve a synthetic dataset for a bin picking task. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–7. 6 indexed citations
8.
Ārents, Jānis & Modris Greitāns. (2022). Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing. Applied Sciences. 12(2). 937–937. 139 indexed citations breakdown →
9.
Ārents, Jānis, et al.. (2022). Construction and benchmark of an autonomous tracked mobile robot system. 2(1). 15–28. 3 indexed citations
10.
Ārents, Jānis, et al.. (2022). Bin-Picking Solution for Randomly Placed Automotive Connectors Based on Machine Learning Techniques. Electronics. 11(3). 476–476. 12 indexed citations
11.
Ārents, Jānis, et al.. (2022). Synthetic Data Generation for Visual Detection of Flattened PET Bottles. SHILAP Revista de lepidopterología. 5(1). 14–28. 1 indexed citations
12.
Ārents, Jānis, et al.. (2021). Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review. Journal of Sensor and Actuator Networks. 10(3). 48–48. 85 indexed citations
13.
Ārents, Jānis, et al.. (2019). Generation of synthetic training data for object detection in piles. 1192. 105–105. 5 indexed citations
14.
Ārents, Jānis, et al.. (2018). Integration of Computervision and Artificial Intelligence Subsystems with Robot Operating System Based Motion Planning for Industrial Robots. Automatic Control and Computer Sciences. 52(5). 392–401. 5 indexed citations

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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