Erik Cambria

355 papers and 24.3k indexed citations i.

About

Erik Cambria is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erik Cambria has authored 355 papers receiving a total of 24.3k indexed citations (citations by other indexed papers that have themselves been cited), including 293 papers in Artificial Intelligence, 53 papers in Experimental and Cognitive Psychology and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erik Cambria’s work include Sentiment Analysis and Opinion Mining (177 papers), Topic Modeling (147 papers) and Advanced Text Analysis Techniques (112 papers). Erik Cambria is often cited by papers focused on Sentiment Analysis and Opinion Mining (177 papers), Topic Modeling (147 papers) and Advanced Text Analysis Techniques (112 papers). Erik Cambria collaborates with scholars based in Singapore, China and United Kingdom. Erik Cambria's co-authors include Soujanya Poria, Amir Hussain, Alexander Gelbukh, Rui Mao and Haiyun Peng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Computers in Human Behavior.

In The Last Decade

Fields of papers citing papers by Erik Cambria

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

Countries citing papers authored by Erik Cambria

Since Specialization
Citations

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

Rankless by CCL
2025