János Botzheim

1.6k total citations
132 papers, 983 citations indexed

About

János Botzheim is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, János Botzheim has authored 132 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 37 papers in Control and Systems Engineering and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in János Botzheim's work include Fuzzy Logic and Control Systems (24 papers), Robotics and Automated Systems (22 papers) and Neural Networks and Applications (22 papers). János Botzheim is often cited by papers focused on Fuzzy Logic and Control Systems (24 papers), Robotics and Automated Systems (22 papers) and Neural Networks and Applications (22 papers). János Botzheim collaborates with scholars based in Hungary, Japan and Portugal. János Botzheim's co-authors include Naoyuki Kubota, László T. Kóczy, Azhar Aulia Saputra, A.E. Ruano, Péter Földesi, Yuichiro Toda, Takenori Obo, Indra Adji Sulistijono, László Gál and Péter Köröndi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

János Botzheim

122 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
János Botzheim Hungary 16 373 293 236 171 152 132 983
Taşkın Padır United States 17 160 0.4× 364 1.2× 320 1.4× 242 1.4× 108 0.7× 124 1.2k
Nilanjan Chakraborty United States 19 240 0.6× 322 1.1× 363 1.5× 165 1.0× 108 0.7× 82 1.4k
Stefanos Nikolaidis United States 18 408 1.1× 429 1.5× 208 0.9× 127 0.7× 454 3.0× 70 1.2k
Hangxin Liu China 16 199 0.5× 283 1.0× 220 0.9× 107 0.6× 65 0.4× 59 725
Tadahiro Taniguchi Japan 22 717 1.9× 329 1.1× 388 1.6× 99 0.6× 130 0.9× 177 1.6k
Scott Niekum United States 15 469 1.3× 527 1.8× 240 1.0× 124 0.7× 55 0.4× 45 900
Toshihiro Matsui Japan 17 279 0.7× 617 2.1× 347 1.5× 134 0.8× 168 1.1× 95 1.4k
Rodrigo Ventura Portugal 16 213 0.6× 180 0.6× 386 1.6× 87 0.5× 174 1.1× 104 1.1k
Erwin Prassler Germany 17 222 0.6× 358 1.2× 588 2.5× 153 0.9× 129 0.8× 61 1.1k
Dylan A. Shell United States 18 368 1.0× 172 0.6× 260 1.1× 46 0.3× 288 1.9× 86 1.1k

Countries citing papers authored by János Botzheim

Since Specialization
Citations

This map shows the geographic impact of János Botzheim'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 János Botzheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites János Botzheim more than expected).

Fields of papers citing papers by János Botzheim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by János Botzheim. 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 János Botzheim. The network helps show where János Botzheim may publish in the future.

Co-authorship network of co-authors of János Botzheim

This figure shows the co-authorship network connecting the top 25 collaborators of János Botzheim. A scholar is included among the top collaborators of János Botzheim 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 János Botzheim. János Botzheim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Botzheim, János, et al.. (2025). Applying Fourier Neural Operator to insect wingbeat sound classification: Introducing CF-ResNet-1D. Ecological Informatics. 86. 103055–103055.
2.
Botzheim, János, et al.. (2025). Colonial bacterial memetic algorithm and its application on a darts playing robot. Scientific Reports. 15(1). 10757–10757.
3.
Botzheim, János, et al.. (2024). Fuzzy-Based Robot Behavior with the Application of Emotional Pattern Generator. 2(3). 180–195.
4.
Botzheim, János, et al.. (2024). Multi Mobile Robots Path Planning by Improved RRT* Algorithm with Right-of-Way Rule. 7–15. 1 indexed citations
5.
Saputra, Azhar Aulia, János Botzheim, & Naoyuki Kubota. (2023). Neuro-Cognitive Locomotion with Dynamic Attention on Topological Structure. Machines. 11(6). 619–619. 1 indexed citations
6.
Botzheim, János, et al.. (2023). Calibration of Micromechanical Parameters for the Discrete Element Simulation of a Masonry Arch using Artificial Intelligence. Infrastructures. 8(4). 64–64. 9 indexed citations
7.
Botzheim, János, et al.. (2022). Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm. Sensors. 22(3). 1161–1161. 2 indexed citations
8.
Saputra, Azhar Aulia, János Botzheim, Auke Jan Ijspeert, & Naoyuki Kubota. (2021). Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot. IEEE Transactions on Cybernetics. 52(8). 7981–7994. 16 indexed citations
9.
Botzheim, János, et al.. (2018). A Socially Interactive Robot Partner Using Content-Based Conversation System for Information Support. Journal of Advanced Computational Intelligence and Intelligent Informatics. 22(6). 989–997. 8 indexed citations
10.
Saputra, Azhar Aulia, Yuichiro Toda, János Botzheim, & Naoyuki Kubota. (2017). Neuro-Activity-Based Dynamic Path Planner for 3-D Rough Terrain. IEEE Transactions on Cognitive and Developmental Systems. 10(2). 138–150. 11 indexed citations
11.
Botzheim, János, et al.. (2016). Weighted Constraint Satisfaction for Smart Home Automation and Optimization. 2016. 1–15. 2 indexed citations
12.
Botzheim, János, et al.. (2014). Supervised Learning-based Multi-Modal Perception for Robot Partners using Smart Phones. Acta Polytechnica Hungarica. 11(8). 139–159.
13.
Kubota, Naoyuki, János Botzheim, & Takenori Obo. (2012). Human motion tracking and feature extraction for cognitive rehabilitation in informationally structured space. 9. 464–471. 15 indexed citations
14.
Botzheim, János, et al.. (2011). Fuzzy based Prequalification Methods for EoSHDSL Technology. Acta Technica Jaurinensis. 4(1). 135–144. 10 indexed citations
15.
Botzheim, János, et al.. (2010). Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions. World Automation Congress. 1–6. 2 indexed citations
16.
Botzheim, János, Péter Földesi, & László T. Kóczy. (2009). Solution for fuzzy road transport traveling salesman problem using eugenic bacterial memetic algorithm. European Society for Fuzzy Logic and Technology Conference. 1667–1672. 4 indexed citations
17.
Gál, László, János Botzheim, László T. Kóczy, & A.E. Ruano. (2009). Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1833–1838. 5 indexed citations
18.
Földesi, Péter, János Botzheim, & L.T. Kóczy. (2008). Fuzzy Exponents for Heuristic Based Applications. Acta Technica Jaurinensis. 1(3). 423–435. 3 indexed citations
19.
Földesi, Péter, L.T. Kóczy, & János Botzheim. (2008). Fuzzy Solution for Kano’s Quality Model. Acta Technica Jaurinensis. 1(1). 25–36. 1 indexed citations
20.
Botzheim, János, et al.. (2003). Genetic programming and bacterial algorithm for neural networks and fuzzy systems design. Sapientia (Algarve University). 1 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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