Daniel Gibert

19 papers and 580 indexed citations i.

About

Daniel Gibert is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Daniel Gibert has authored 19 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Daniel Gibert’s work include Advanced Malware Detection Techniques (13 papers), Network Security and Intrusion Detection (10 papers) and Anomaly Detection Techniques and Applications (9 papers). Daniel Gibert is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Network Security and Intrusion Detection (10 papers) and Anomaly Detection Techniques and Applications (9 papers). Daniel Gibert collaborates with scholars based in Spain, Ireland and India. Daniel Gibert's co-authors include Jordi Planes, Carles Mateu, Quan Le, João Marques‐Silva, M. Venkatesan, Álvaro de Gracia, Matt Fredrikson, Cèsar Fernández, K. Chandrasekaran and Teresa Alsinet and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Thermal Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniel Gibert i

Fields of papers citing papers by Daniel Gibert

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 Daniel Gibert. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Gibert may publish in the future.

Countries citing papers authored by Daniel Gibert

Since Specialization
Citations

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

Rankless by CCL
2025