C Colodro-Conde

15 papers receiving 49 citations

Peers

C Colodro-Conde
Comparison fields: 5 of 25
  • Instrumentation 4
  • Computer Vision and Pattern Recognition 20
  • Hardware and Architecture 6
  • Media Technology 5
  • Aerospace Engineering 13
Replace Kefei Song with:
Kefei Song China
Chawin Sitawarin United States
Brian Bauer United States
Pablo Navarrete Michelini China
M. Werth United States
M. Hills United Kingdom
M. Poloni Italy
Berthold Rathke Germany
Alexander Spiridonov Russia
P. Van Hove United States
C Colodro-Conde relative to Kefei Song China Kefei Song's profile →
Citations per field
00.5×3.5×
Kefei Song · 1×
Citations per year

Countries citing papers authored by C Colodro-Conde

Since Specialization
Citations

This map shows the geographic impact of C Colodro-Conde'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 C Colodro-Conde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Colodro-Conde more than expected).

Fields of papers citing papers by C Colodro-Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C Colodro-Conde. 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 C Colodro-Conde. The network helps show where C Colodro-Conde may publish in the future.

Co-authors

The 25 scholars most cited alongside C Colodro-Conde, 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 C Colodro-Conde Line = papers co-authored together C Colodro-Conde links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201317
2 20155
3 20175
4 20184
5 20153
6 20133
7 20143
8 20162
9 20122
10
Implementing large-kernel 2-D filters using Impulse CoDeveloper
20121
11 20161
12 20141
13 20151
14 20161
15 20161
16 20160

About C Colodro-Conde

C Colodro-Conde is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Computer Networks and Communications and Astronomy and Astrophysics, having authored 16 papers that have together received 50 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (7 papers), CCD and CMOS Imaging Sensors (6 papers), Optical Systems and Laser Technology (4 papers), Stellar, planetary, and galactic studies (3 papers), Embedded Systems Design Techniques (2 papers), Spacecraft Design and Technology (2 papers), Astronomy and Astrophysical Research (2 papers) and Advanced optical system design (2 papers). The work is most often cited by research in Instrumentation (4 citations), Computer Vision and Pattern Recognition (20 citations), Hardware and Architecture (6 citations), Media Technology (5 citations) and Aerospace Engineering (13 citations). C Colodro-Conde has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include R. Toledo-Moreo, F. Javier Toledo, José Manuel Ferrández, Isidro Villó-Pérez, Javier Garrigós, A. Pérez‐Garrido, Manuel P. Cagigal, R. Rébolo, Luis Fernando Rodríguez-Ramos and Pedro J. Valle. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Aerospace and Electronic Systems, Journal of Systems Architecture, Applied Sciences and Neurocomputing.

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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