Ingo Bax

7 papers and 661 indexed citations i.

About

Ingo Bax is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ingo Bax has authored 7 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Ingo Bax’s work include Multimodal Machine Learning Applications (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Neural Networks and Applications (2 papers). Ingo Bax is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Neural Networks and Applications (2 papers). Ingo Bax collaborates with scholars based in Germany, United States and Iran. Ingo Bax's co-authors include Florian Hoppe, Christian Thurau, Ingo Fruend, Roland Memisevic, Samira Ebrahimi Kahou, Joanna Materzyńska, P.N. Yianilos, Raghav Goyal, Heuna Kim and Valentin Haenel and has published in prestigious journals such as Optical Engineering, Machine Vision and Applications and Pattern Recognition and Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Ingo Bax i

Fields of papers citing papers by Ingo Bax

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

Countries citing papers authored by Ingo Bax

Since Specialization
Citations

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

Rankless by CCL
2025