E. Bacca

428 citations
50 papers · 315 · h-index 9

Impact in

Papers in

E. Bacca

43 papers receiving 308 citations

Peers

E. Bacca
Comparison fields: 5 of 72
  • Computer Science Applications 36
  • Media Technology 52
  • Condensed Matter Physics 61
  • Computer Vision and Pattern Recognition 92
  • Aerospace Engineering 71
Replace Heng Liu with:
Heng Liu China
Donald G. Fink United States
Holger Arthaber Austria
Tomoya Ishikawa Japan
Klaus-Dieter Langer Germany
Diba Mirza United States
Christoph Kottke Germany
Victoria Lapuerta Spain
E. Bacca relative to Heng Liu China Heng Liu's profile →
Citations per field
00.5×12×
Heng Liu · 1×
Citations per year

Countries citing papers authored by E. Bacca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Bacca Line = papers co-authored together E. Bacca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200952
2 202043
3 199625
4 201722
5 201122
6 199616
7 201315
8 199410
9 20199
10 20107
11 20117
12 20136
13 19946
14 20176
15 20176
16 20196
17 20106
18 20225
19 19975
20 20234

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 50 papers that have together received 315 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 Computer Science Applications (36 citations), Media Technology (52 citations), Condensed Matter Physics (61 citations), Computer Vision and Pattern Recognition (92 citations) and Aerospace Engineering (71 citations). E. Bacca has collaborated with scholars based in Colombia, Ecuador and Spain. Frequent co-authors include Eduardo Caicedo, Joaquím Salví, Xavier Cufí, P. Prieto, A. M. Cucolo, P. Romano, M. E. Gómez, F. Bobba, A. Nigro and J. Heiras. Their work appears in journals such as Annalen der Physik, Physica C Superconductivity, Solid State Communications, Symmetry and Robotics and Autonomous Systems.

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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