Jan Carlo Barca
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Y. Ahmet ŞekercioğluHoam ChungManzur MurshedJoarder KamruzzamanKirsten EllisAlan DorinJens EliassonAldeida Aleti
- Topics
- Distributed Control Multi-Agent Systems (16 papers)UAV Applications and Optimization (9 papers)Modular Robots and Swarm Intelligence (8 papers)
In The Last Decade
Jan Carlo Barca
33 papers receiving 420 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 227
- Computer Vision and Pattern Recognition 141
- Aerospace Engineering 125
- Mechanical Engineering 118
- Artificial Intelligence 86
Countries citing papers authored by Jan Carlo Barca
This map shows the geographic impact of Jan Carlo Barca'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 Jan Carlo Barca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Carlo Barca more than expected).
Fields of papers citing papers by Jan Carlo Barca
This network shows the impact of papers produced by Jan Carlo Barca. 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 Jan Carlo Barca. The network helps show where Jan Carlo Barca may publish in the future.
Co-authorship network of co-authors of Jan Carlo Barca
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Carlo Barca. A scholar is included among the top collaborators of Jan Carlo Barca 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 Jan Carlo Barca. Jan Carlo Barca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 125 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 124 | |
| 19 | 13 | |
| 20 | Generating formations with a template based multi-robot system | 3 |
About Jan Carlo Barca
Jan Carlo Barca is a scholar working on Computer Networks and Communications, Human-Computer Interaction and Aerospace Engineering, having authored 33 papers that have together received 428 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (16 papers), UAV Applications and Optimization (9 papers) and Modular Robots and Swarm Intelligence (8 papers). The work is most often cited by research in Computer Networks and Communications (227 citations), Computer Vision and Pattern Recognition (141 citations) and Aerospace Engineering (125 citations). Jan Carlo Barca has collaborated with scholars based in Australia, Sweden and Malaysia. Frequent co-authors include Y. Ahmet Şekercioğlu, Hoam Chung, Manzur Murshed, Joarder Kamruzzaman, Kirsten Ellis, Alan Dorin, Jens Eliasson, Aldeida Aleti, Hasan Derhamy and Asad I. Khan. Their work appears in journals such as Neural Computing and Applications, Robotics and Autonomous Systems and Autonomous Robots.
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.