Johnson Apacible
About
Johnson Apacible is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence.
According to data from OpenAlex, Johnson Apacible has authored 5 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Johnson Apacible’s work include Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Advanced Neural Network Applications (1 paper). Johnson Apacible is often cited by papers focused on Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Advanced Neural Network Applications (1 paper). Johnson Apacible collaborates with scholars based in United States. Johnson Apacible's co-authors include Karthik Kalyanaraman, Trishul Chilimbi, Eric Horvitz, Michael Gamon, Tae Yano, Patrick Pantel and Xinying Song and has published in prestigious journals such as Journal of Convergence Information Technology, Operating Systems Design and Implementation and CiteSeer X (The Pennsylvania State University).
In The Last Decade
Co-authorship network of co-authors of Johnson Apacible i
Fields of papers citing papers by Johnson Apacible
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 Johnson Apacible. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Johnson Apacible may publish in the future.
Countries citing papers authored by Johnson Apacible
Since SpecializationCitations
This map shows the geographic impact of Johnson Apacible'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 Johnson Apacible with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson Apacible more than expected).
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