Umer Rafi

2 papers and 6 indexed citations i.

About

Umer Rafi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Umer Rafi has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Umer Rafi’s work include Video Surveillance and Tracking Methods (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Simulation and Modeling Applications (1 paper). Umer Rafi is often cited by papers focused on Video Surveillance and Tracking Methods (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Simulation and Modeling Applications (1 paper). Umer Rafi collaborates with scholars based in Germany. Umer Rafi's co-authors include Bastian Leibe, Stefan Breuers, Lucas Beyer and Jürgen Gall and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Umer Rafi

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

Countries citing papers authored by Umer Rafi

Since Specialization
Citations

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

Rankless by CCL
2025