Charles Siegel

9 papers and 100 indexed citations i.

About

Charles Siegel is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Charles Siegel has authored 9 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 2 papers in Materials Chemistry. Recurrent topics in Charles Siegel’s work include Advanced Neural Network Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Machine Learning in Materials Science (2 papers). Charles Siegel is often cited by papers focused on Advanced Neural Network Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Machine Learning in Materials Science (2 papers). Charles Siegel collaborates with scholars based in United States and Russia. Charles Siegel's co-authors include Abhinav Vishnu, Jeff Daily, Nathan O. Hodas, Garrett B. Goh and Nathan Baker and has published in prestigious journals such as Future Generation Computer Systems, Data Mining and Knowledge Discovery and Geometry & Topology.

In The Last Decade

Fields of papers citing papers by Charles Siegel

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

Countries citing papers authored by Charles Siegel

Since Specialization
Citations

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

Rankless by CCL
2025