Alfonso Ramírez-Pedraza

21 papers receiving 212 citations

Alfonso Ramírez-Pedraza's Hit Papers

A comprehensive survey of loss functions and metrics in deep learning 2025 · 53 citations
530Years since publication1020304050

Peers

Alfonso Ramírez-Pedraza
Comparison fields: 5 of 71
  • Human-Computer Interaction 24
  • Geology 23
  • Computer Vision and Pattern Recognition 57
  • Analytical Chemistry 15
  • Environmental Engineering 21
Replace Zhaoxin Li with:
Zhaoxin Li China
Michael Nielsen Denmark
Daniel Steininger Austria
Zahra Saleem Pakistan
Shaharyar Ahmed Khan Tareen Pakistan
Maria Klodt Germany
Medha Wyawahare India
Jean-Baptiste Fasquel France
Carlo Dal Mutto Italy
Thinal Raj Malaysia
Alfonso Ramírez-Pedraza relative to Zhaoxin Li China Zhaoxin Li's profile →
Citations per field
00.5×4.4×
Zhaoxin Li · 1×
Citations per year

Countries citing papers authored by Alfonso Ramírez-Pedraza

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Ramírez-Pedraza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfonso Ramírez-Pedraza. 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 Alfonso Ramírez-Pedraza. The network helps show where Alfonso Ramírez-Pedraza may publish in the future.

Co-authors

The 19 scholars most cited alongside Alfonso Ramírez-Pedraza, 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 Alfonso Ramírez-Pedraza Line = papers co-authored together Alfonso Ramírez-Pedraza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A comprehensive survey of loss functions and metrics in deep learning
Hit paper breakdown →
202553
2 202238
3 202223
4 202122
5 20259
6 20229
7 20259
8 20148
9 20167
10 20206
11 20166
12 20216
13 20245
14 20115
15 20154
16 20154
17 20252
18 20151
19 20151
20 20211

About Alfonso Ramírez-Pedraza

Alfonso Ramírez-Pedraza is a scholar working on Computer Vision and Pattern Recognition, Geology, Environmental Engineering, Aerospace Engineering and Ecology, having authored 23 papers that have together received 220 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (8 papers), Remote Sensing and LiDAR Applications (7 papers), Robotics and Sensor-Based Localization (7 papers), Optical measurement and interference techniques (6 papers), Advanced Vision and Imaging (3 papers), Smart Agriculture and AI (3 papers), Robotic Path Planning Algorithms (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Human-Computer Interaction (24 citations), Geology (23 citations), Computer Vision and Pattern Recognition (57 citations), Analytical Chemistry (15 citations) and Environmental Engineering (21 citations). Alfonso Ramírez-Pedraza has collaborated with scholars based in Mexico, United States and Sweden. Frequent co-authors include Diana‐Margarita Córdova‐Esparza, Juan Terven, Julio-Alejandro Romero-González, José‐Joel González‐Barbosa, Edgar Arturo Chávez‐Urbiola, Juan B. Hurtado‐Ramos, Luis M. Valentín-Coronado, Gerardo Flores, Diego Mercado-Ravell and Ana M. Herrera-Navarro. Their work appears in journals such as Robotics and Autonomous Systems, Applied Sciences, Electronics, Artificial Intelligence Review and Journal of Computing and Information Science in Engineering.

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.

Explore authors with similar magnitude of impact