Carlos Hernández

1.0k total citations · 1 hit paper
11 papers, 672 citations indexed

About

Carlos Hernández is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Plant Science. According to data from OpenAlex, Carlos Hernández has authored 11 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Plant Science. Recurrent topics in Carlos Hernández's work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Carlos Hernández is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Carlos Hernández collaborates with scholars based in United States, Colombia and United Kingdom. Carlos Hernández's co-authors include Yasutaka Furukawa, Steven M. Seitz, Supasorn Suwajanakorn, George Vogiatzis, Roberto Cipolla, Neill D. F. Campbell, Brian Curless, Flavio Prieto, Qi Shan and Changchang Wu and has published in prestigious journals such as Expert Systems with Applications, Postharvest Biology and Technology and Image and Vision Computing.

In The Last Decade

Carlos Hernández

11 papers receiving 657 citations

Hit Papers

Multi-View Stereo: A Tutorial 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos Hernández United States 8 494 209 161 144 104 11 672
Feitong Tan Canada 8 555 1.1× 140 0.7× 134 0.8× 101 0.7× 58 0.6× 16 633
Siavash Zokai United States 9 430 0.9× 224 1.1× 128 0.8× 70 0.5× 82 0.8× 11 564
Jan Tops Belgium 6 559 1.1× 332 1.6× 249 1.5× 39 0.3× 111 1.1× 7 692
Q.-T. Luong United States 8 522 1.1× 213 1.0× 49 0.3× 120 0.8× 43 0.4× 20 575
Yi-Ping Hung Taiwan 10 439 0.9× 304 1.5× 138 0.9× 59 0.4× 44 0.4× 29 595
Simon Fuhrmann Germany 14 469 0.9× 207 1.0× 238 1.5× 16 0.1× 117 1.1× 21 651
Qingan Yan China 15 325 0.7× 117 0.6× 111 0.7× 45 0.3× 39 0.4× 26 440
Yakun Ju China 15 420 0.9× 95 0.5× 64 0.4× 91 0.6× 38 0.4× 45 566
Shuaifeng Zhi China 9 329 0.7× 142 0.7× 99 0.6× 16 0.1× 50 0.5× 26 487
Konrad Karner Austria 12 828 1.7× 225 1.1× 141 0.9× 182 1.3× 122 1.2× 41 980

Countries citing papers authored by Carlos Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Hernández. 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 Carlos Hernández. The network helps show where Carlos Hernández may publish in the future.

Co-authorship network of co-authors of Carlos Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Hernández. A scholar is included among the top collaborators of Carlos Hernández 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 Carlos Hernández. Carlos Hernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hernández, Carlos, Flavio Prieto, Lluı́s Palou, et al.. (2023). New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis. Journal of Food Measurement & Characterization. 18(1). 560–570. 13 indexed citations
2.
Hernández, Carlos, Nuria Aleixos, Juan Gómez‐Sanchís, et al.. (2023). Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning. Postharvest Biology and Technology. 209. 112732–112732. 11 indexed citations
3.
Hernández, Carlos, et al.. (2021). Detection of anthracnose in mango leaves by hyperspectral image analysis. 1–6. 3 indexed citations
4.
Hernández, Carlos & Flavio Prieto. (2019). A real-time map merging strategy for robust collaborative reconstruction of unknown environments. Expert Systems with Applications. 145. 113109–113109. 15 indexed citations
5.
Furukawa, Yasutaka & Carlos Hernández. (2015). Multi-View Stereo: A Tutorial. 9(1-2). 1–148. 364 indexed citations breakdown →
6.
Suwajanakorn, Supasorn, Carlos Hernández, & Steven M. Seitz. (2015). Depth from focus with your mobile phone. 3497–3506. 104 indexed citations
7.
Shan, Qi, Changchang Wu, Brian Curless, et al.. (2014). Accurate Geo-Registration by Ground-to-Aerial Image Matching. 525–532. 80 indexed citations
9.
Hernández, Carlos, Frank Perbet, Minh-Tri Pham, et al.. (2011). Live 3D shape reconstruction, recognition and registration. 729–729. 1 indexed citations
10.
Campbell, Neill D. F., George Vogiatzis, Carlos Hernández, & Roberto Cipolla. (2011). Automatic Object Segmentation from Calibrated Images. 126–137. 25 indexed citations
11.
Campbell, Neill D. F., George Vogiatzis, Carlos Hernández, & Roberto Cipolla. (2008). Automatic 3D object segmentation in multiple views using volumetric graph-cuts. Image and Vision Computing. 28(1). 14–25. 54 indexed citations

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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