Daniel Herrera C.

8 total papers · 666 total citations
3 papers, 319 citations indexed

About

Daniel Herrera C. is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Infectious Diseases. According to data from OpenAlex, Daniel Herrera C. has authored 3 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 0 papers in Infectious Diseases. Recurrent topics in Daniel Herrera C.'s work include Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (2 papers) and Optical measurement and interference techniques (1 paper). Daniel Herrera C. is often cited by papers focused on Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (2 papers) and Optical measurement and interference techniques (1 paper). Daniel Herrera C. collaborates with scholars based in Finland, Switzerland and Germany. Daniel Herrera C.'s co-authors include Juho Kannala, Janne Heikkilä, Esa Rahtu, Damien R. Farine, André C. Ferreira and Charlotte Christensen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Animal Behaviour.

In The Last Decade

Daniel Herrera C.

2 papers receiving 308 citations

Hit Papers

Joint Depth and Color Cam... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Herrera C. 254 152 49 34 34 3 319
Hamed Sarbolandi 169 0.7× 89 0.6× 68 1.4× 22 0.6× 36 1.1× 4 325
Ralf Kaestner 169 0.7× 133 0.9× 43 0.9× 12 0.4× 23 0.7× 6 282
Pietro Azzari 229 0.9× 66 0.4× 21 0.4× 15 0.4× 63 1.9× 6 289
Clément Menier 198 0.8× 56 0.4× 30 0.6× 22 0.6× 31 0.9× 8 362
Ingo Schiller 153 0.6× 79 0.5× 37 0.8× 13 0.4× 16 0.5× 9 257
Daiyi Peng 230 0.9× 126 0.8× 41 0.8× 17 0.5× 4 0.1× 5 313
Gaku Narita 223 0.9× 108 0.7× 70 1.4× 22 0.6× 63 1.9× 5 291
Juil Sock 230 0.9× 186 1.2× 31 0.6× 11 0.3× 18 0.5× 12 313
Ben Caine 221 0.9× 126 0.8× 41 0.8× 17 0.5× 4 0.1× 2 292
Yifeng Lu 223 0.9× 126 0.8× 41 0.8× 17 0.5× 4 0.1× 5 305

Countries citing papers authored by Daniel Herrera C.

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Herrera C.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Herrera C.. 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 Daniel Herrera C.. The network helps show where Daniel Herrera C. may publish in the future.

Co-authorship network of co-authors of Daniel Herrera C.

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

All Works

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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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