E. Bacca
Impact in
- Computer Science Applications top 10%
- Teaching and Learning Programming
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
-
- Robotic Path Planning Algorithms 6
- Advanced Image and Video Retrieval Techniques 5
-
- Robotics and Sensor-Based Localization 10
- Co-authors
- Eduardo Caicedo (16 shared papers)Joaquím Salví (5 shared papers)Xavier Cufí (5 shared papers)P. Prieto (10 shared papers)A. M. Cucolo (4 shared papers)F. Bobba (1 shared paper)A. Nigro (2 shared papers)P. Romano (2 shared papers)
In The Last Decade
E. Bacca
40 papers receiving 286 citations
Peers
Comparison fields: 5 of 69
- Computer Science Applications 32
- Media Technology 48
- Condensed Matter Physics 60
- Computer Vision and Pattern Recognition 83
- Aerospace Engineering 63
Countries citing papers authored by E. Bacca
This map shows the geographic impact of E. Bacca'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 E. Bacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Bacca more than expected).
Fields of papers citing papers by E. Bacca
This network shows the impact of papers produced by E. Bacca. 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 E. Bacca. The network helps show where E. Bacca may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Bacca, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 45 | |
| 2 | 2020 | 38 | |
| 3 | 1996 | 25 | |
| 4 | 2011 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 1996 | 16 | |
| 7 | 2013 | 13 | |
| 8 | 1994 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 1994 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 1997 | 4 |
About E. Bacca
E. Bacca is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Condensed Matter Physics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 49 papers that have together received 292 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Physics of Superconductivity and Magnetism (9 papers), Robotic Path Planning Algorithms (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Condensed Matter Physics (4 papers), Remote Sensing in Agriculture (4 papers), Modular Robots and Swarm Intelligence (4 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Computer Science Applications (32 citations), Media Technology (48 citations), Condensed Matter Physics (60 citations), Computer Vision and Pattern Recognition (83 citations) and Aerospace Engineering (63 citations). E. Bacca has collaborated with scholars based in Colombia, Spain and Italy. Frequent co-authors include Eduardo Caicedo, Joaquím Salví, Xavier Cufí, P. Prieto, A. M. Cucolo, F. Bobba, A. Nigro, P. Romano, J. Heiras and M. E. Gómez. Their work appears in journals such as Annalen der Physik, Robotics and Autonomous Systems, Solid State Communications, Physica C Superconductivity and Symmetry.
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.