John Salerno
About
John Salerno is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications.
According to data from OpenAlex, John Salerno has authored 22 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in John Salerno’s work include Complex Network Analysis Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). John Salerno is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). John Salerno collaborates with scholars based in United States, Germany and Australia. John Salerno's co-authors include Huan Liu, Michael Hinman, Sun‐Ki Chai, Philip S. Yu, Zhongfei Zhang, Erik Blasch, Michael J. Young, Dana Nau, Shanchieh Jay Yang and Michael J. Young and has published in prestigious journals such as Lecture notes in computer science, ACM Transactions on Knowledge Discovery from Data and International Journal of Artificial Intelligence Tools.
In The Last Decade
Co-authorship network of co-authors of John Salerno i
Fields of papers citing papers by John Salerno
Since SpecializationEngineeringComputer 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 John Salerno. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Salerno may publish in the future.
Countries citing papers authored by John Salerno
Since SpecializationCitations
This map shows the geographic impact of John Salerno'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 John Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Salerno more than expected).
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