E. Bacca
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
-
- Robotics and Sensor-Based Localization 10
-
- Advanced Image and Video Retrieval Techniques 5
- Robotic Path Planning Algorithms 5
- Co-authors
- Eduardo Caicedo (16 shared papers)Xavier Cufí (5 shared papers)Joaquím Salví (5 shared papers)P. Prieto (10 shared papers)A. M. Cucolo (4 shared papers)J. Heiras (3 shared papers)A. Nigro (2 shared papers)F. Bobba (1 shared paper)
In The Last Decade
E. Bacca
38 papers receiving 285 citations
Peers
Comparison fields: 5 of 70
- Media Technology 50
- Computer Science Applications 28
- Condensed Matter Physics 60
- Computer Vision and Pattern Recognition 84
- 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 46 | |
| 2 | 2020 | 42 | |
| 3 | 1996 | 25 | |
| 4 | 2011 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 1996 | 16 | |
| 7 | 2013 | 13 | |
| 8 | 1994 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2013 | 6 | |
| 11 | 1994 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 1997 | 4 |
About E. Bacca
E. Bacca is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Condensed Matter Physics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 46 papers that have together received 291 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Physics of Superconductivity and Magnetism (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotic Path Planning Algorithms (5 papers), Advanced Condensed Matter Physics (4 papers), Remote Sensing in Agriculture (4 papers), Remote Sensing and Land Use (3 papers) and Thermography and Photoacoustic Techniques (3 papers). The work is most often cited by research in Media Technology (50 citations), Computer Science Applications (28 citations), Condensed Matter Physics (60 citations), Computer Vision and Pattern Recognition (84 citations) and Aerospace Engineering (63 citations). E. Bacca has collaborated with scholars based in Colombia, Spain and Italy. Frequent co-authors include Eduardo Caicedo, Xavier Cufí, Joaquím Salví, P. Prieto, A. M. Cucolo, J. Heiras, A. Nigro, F. Bobba, P. Romano and P. Romano. Their work appears in journals such as Annalen der Physik, Physica C Superconductivity, Robotics and Autonomous Systems, Symmetry and Solid State Communications.
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.