Victor Parque
Impact in
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- Robotic Path Planning Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 7
- Machine Learning and Algorithms 5
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- Robotic Path Planning Algorithms 13
- Co-authors
- Tomoyuki Miyashita (44 shared papers)Ahmed M. R. Fath El‐Bab (7 shared papers)Satoshi Miura (18 shared papers)A. A. Abouelsoud (2 shared papers)Shigeki Sugano (1 shared paper)Masakazu Kobayashi (3 shared papers)Masatake Higashi (3 shared papers)Kotaro Hirasawa (8 shared papers)
- Journals
- IEEE Access (4 papers)Advances in Space Research (2 papers)Applied Sciences (2 papers)Neurocomputing (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanEgyptSouth Korea
In The Last Decade
Victor Parque
76 papers receiving 351 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 124
- Computer Graphics and Computer-Aided Design 19
- Signal Processing 38
- Control and Systems Engineering 76
- Human-Computer Interaction 17
Countries citing papers authored by Victor Parque
This map shows the geographic impact of Victor Parque'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 Victor Parque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Parque more than expected).
Fields of papers citing papers by Victor Parque
This network shows the impact of papers produced by Victor Parque. 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 Victor Parque. The network helps show where Victor Parque may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Parque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 42 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2017 | 16 | |
| 6 | 2014 | 16 | |
| 7 | 2017 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2014 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Victor Parque
Victor Parque is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 87 papers that have together received 356 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (9 papers), Stock Market Forecasting Methods (7 papers), Evolutionary Algorithms and Applications (7 papers), Modular Robots and Swarm Intelligence (6 papers), Data Management and Algorithms (5 papers), Machine Learning and Algorithms (5 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Computer Graphics and Computer-Aided Design (19 citations), Signal Processing (38 citations), Control and Systems Engineering (76 citations) and Human-Computer Interaction (17 citations). Victor Parque has collaborated with scholars based in Japan, Egypt and South Korea. Frequent co-authors include Tomoyuki Miyashita, Ahmed M. R. Fath El‐Bab, Satoshi Miura, A. A. Abouelsoud, Shigeki Sugano, Masakazu Kobayashi, Masatake Higashi, Kotaro Hirasawa, Shingo Mabu and M.A. Hassan. Their work appears in journals such as IEEE Access, Advances in Space Research, Applied Sciences, Neurocomputing and Scientific Reports.
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.