Francisco Gomez‐Donoso

35 papers and 462 indexed citations i.

About

Francisco Gomez‐Donoso is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Francisco Gomez‐Donoso has authored 35 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 6 papers in Artificial Intelligence. Recurrent topics in Francisco Gomez‐Donoso’s work include Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Neural Network Applications (6 papers). Francisco Gomez‐Donoso is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Neural Network Applications (6 papers). Francisco Gomez‐Donoso collaborates with scholars based in Spain, Panama and Australia. Francisco Gomez‐Donoso's co-authors include Miguel Cazorla, Sergio Orts‐Escolano, José García‐Rodríguez, Alberto García-García and Rosabel Roig-Vila and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Fields of papers citing papers by Francisco Gomez‐Donoso

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Francisco Gomez‐Donoso. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Francisco Gomez‐Donoso may publish in the future.

Countries citing papers authored by Francisco Gomez‐Donoso

Since Specialization
Citations

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

Rankless by CCL
2025