Daniel F. García

5.2k total citations
226 papers, 3.5k citations indexed

About

Daniel F. García is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel F. García has authored 226 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 60 papers in Mechanical Engineering and 55 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel F. García's work include Optical measurement and interference techniques (48 papers), Industrial Vision Systems and Defect Detection (47 papers) and Advanced Measurement and Metrology Techniques (35 papers). Daniel F. García is often cited by papers focused on Optical measurement and interference techniques (48 papers), Industrial Vision Systems and Defect Detection (47 papers) and Advanced Measurement and Metrology Techniques (35 papers). Daniel F. García collaborates with scholars based in Spain, United States and Luxembourg. Daniel F. García's co-authors include Rubén Usamentiaga, Julio Molleda, José Luis Gahete Díaz, José M. López, Luis Pérez, Nuria Rodríguez López, Francisco G. Bulnes, Manuel García, Hubert W. Schreier and Michael A. Sutton and has published in prestigious journals such as NeuroImage, The Journal of the Acoustical Society of America and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Daniel F. García

209 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel F. García Spain 30 1.1k 761 760 619 528 226 3.5k
Yong Guan China 29 631 0.6× 125 0.2× 538 0.7× 615 1.0× 366 0.7× 211 3.8k
Qi Hao China 38 1.5k 1.3× 1.1k 1.5× 478 0.6× 1.4k 2.3× 65 0.1× 216 6.0k
Jun Wang China 43 4.2k 3.7× 732 1.0× 518 0.7× 363 0.6× 54 0.1× 343 7.5k
Quan Zhang China 25 1.1k 1.0× 415 0.5× 904 1.2× 3.6k 5.8× 102 0.2× 154 7.9k
Bin Zhang China 43 255 0.2× 188 0.2× 1.2k 1.6× 1.1k 1.7× 384 0.7× 360 6.4k
Yuchen Jiang China 30 424 0.4× 379 0.5× 705 0.9× 341 0.6× 84 0.2× 111 4.2k
Meiqin Liu China 36 634 0.6× 171 0.2× 373 0.5× 1.3k 2.1× 112 0.2× 312 4.6k
Mehmet Karaköse Türkiye 30 444 0.4× 686 0.9× 958 1.3× 163 0.3× 30 0.1× 247 3.3k
Xi Li China 39 4.0k 3.5× 160 0.2× 254 0.3× 385 0.6× 66 0.1× 333 6.4k
Zhongwei Li China 27 1.1k 0.9× 187 0.2× 850 1.1× 288 0.5× 25 0.0× 119 2.4k

Countries citing papers authored by Daniel F. García

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel F. García

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

All Works

20 of 20 papers shown
1.
2.
Fernández, Ángel G., et al.. (2024). Automatic system for deformation measurement of anodes in an electrolytic process. Measurement. 240. 115626–115626.
3.
García, Daniel F., et al.. (2024). Performance Comparison of IEEE 802.11p and LTE-V2X Through Field-Tests and Simulations. eRepository Mondragon University (Mondragon University). 81–88. 3 indexed citations
4.
Usamentiaga, Rubén, et al.. (2024). Enhancing automated inspection in metal industries: zero-shot segmentation of surface defects using bounding box prompts. Measurement Science and Technology. 35(8). 85604–85604. 8 indexed citations
5.
García, Daniel F., et al.. (2023). Hierarchical registration method for surface quality inspection of long products. The Visual Computer. 40(2). 1179–1192. 1 indexed citations
6.
Usamentiaga, Rubén, et al.. (2023). Rail Flatness Measurement Based on Dual Laser Triangulation. 1–8. 1 indexed citations
7.
Gómez, Ángel Hernándo, et al.. (2023). Location Monitoring System to Prevent Falls of Cathodes in Industrial Electrolysis Facilities. 1–8. 2 indexed citations
8.
Usamentiaga, Rubén, et al.. (2022). Automated Detection of Subsurface Defects Using Active Thermography and Deep Learning Object Detectors. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 23 indexed citations
9.
Arbic, Brian K., Shane Elipot, Dimitris Menemenlis, et al.. (2022). Near‐Surface Oceanic Kinetic Energy Distributions From Drifter Observations and Numerical Models. Journal of Geophysical Research Oceans. 127(10). 27 indexed citations
10.
Usamentiaga, Rubén, et al.. (2022). Semantic segmentation for non-destructive testing with step-heating thermography for composite laminates. Measurement. 200. 111653–111653. 20 indexed citations
11.
Yáñez-Pagans, Patricia, Daniel F. García, Oscar A. Mitnik, Lynn Scholl, & Antonia Vázquez. (2019). Urban transport systems in Latin America and the Caribbean: lessons and challenges. RePEc: Research Papers in Economics. 28(1). 36 indexed citations
12.
García, Daniel F., et al.. (2017). Inspection system for rail surfaces using differential images. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1–9. 6 indexed citations
13.
Llamas, Ramón, et al.. (2015). User inactivity modeling and simulation for power management of PC fleets. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 1–6.
14.
García, Daniel F.. (2014). Germán Mejía, La ciudad de los conquistadores 1536-1604. Bogotá, Ediciones Pontificia Universidad Javeriana, 2012. 4 indexed citations
15.
Bulnes, Francisco G., Daniel F. García, & Julio Molleda. (2011). A Technique for Clustering Individual Defects from Images of Steel Strips with Periodical Defects. Machine Vision and Applications. 283–286. 1 indexed citations
16.
Granda, Juan C., et al.. (2009). Networking technique for synchronous e-learning platforms in corporate environments. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 41. 96–103. 3 indexed citations
17.
Díaz, José Luis Gahete, et al.. (2009). Tools and Stochastic Metrics for Debugging Temporal Behaviour of Real-Time Systems. JUCS - Journal of Universal Computer Science. 15. 1563–1588. 1 indexed citations
18.
Granda, Juan C., et al.. (2008). A multimedia tool for synchronous distance e-training of employees in geographically dispersed industries. 1–8. 4 indexed citations
19.
García, Daniel F., et al.. (2003). Throughput Analysis of E-commerce Servers Using the TPC-W Benchmark..
20.
Fuente, David de la & Daniel F. García. (1988). Modelado de series temporales con métodos en bloque y recursivos: desarrollo de estimadores y predictores adaptativos. 12(3). 281–313. 2 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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