Max Ehrlich

6 papers and 133 indexed citations i.

About

Max Ehrlich is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Signal Processing. According to data from OpenAlex, Max Ehrlich has authored 6 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Geophysics and 1 paper in Signal Processing. Recurrent topics in Max Ehrlich’s work include Advanced Image Processing Techniques (4 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Max Ehrlich is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Max Ehrlich collaborates with scholars based in United States and Israel. Max Ehrlich's co-authors include Larry S. Davis, Rama Chellappa, Sohil Shah, Abhinav Shrivastava, Ser-Nam Lim, Patrick Poirson, Hanyu Wang, Pengxiang Wu, Andrew Tao and Bryan Catanzaro and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Max Ehrlich i

Fields of papers citing papers by Max Ehrlich

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

Countries citing papers authored by Max Ehrlich

Since Specialization
Citations

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

Rankless by CCL
2025