Javid Ebrahimi

10 papers and 529 indexed citations i.

About

Javid Ebrahimi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Javid Ebrahimi has authored 10 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Javid Ebrahimi’s work include Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (3 papers). Javid Ebrahimi is often cited by papers focused on Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (3 papers). Javid Ebrahimi collaborates with scholars based in United States, China and United Kingdom. Javid Ebrahimi's co-authors include Daniel Lowd, Anyi Rao, Dejing Dou, Dejing Dou, NhatHai Phan, Wei Zhang, Franck Dernoncourt, Thien Huu Nguyen, Amir Pouran Ben Veyseh and Chin‐Chia Michael Yeh and has published in prestigious journals such as IEEE Intelligent Systems, ACM Transactions on Intelligent Systems and Technology and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Javid Ebrahimi i

Fields of papers citing papers by Javid Ebrahimi

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

Countries citing papers authored by Javid Ebrahimi

Since Specialization
Citations

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

Rankless by CCL
2025