J. Paul Siebert

50 papers and 1.3k indexed citations i.

About

J. Paul Siebert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, J. Paul Siebert has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 8 papers in Computational Mechanics. Recurrent topics in J. Paul Siebert’s work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (8 papers). J. Paul Siebert is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (8 papers). J. Paul Siebert collaborates with scholars based in United Kingdom, Ireland and China. J. Paul Siebert's co-authors include Ashraf Ayoub, Declan T Millett, Mohammad Y Hajeer, Gerardo Aragón-Camarasa, Xiangyang Ju, Stephen Marshall, Li Sun, Simon Rogers, Adrian Bowman and M. Bock and has published in prestigious journals such as Vision Research, IEEE Access and Journal of the Optical Society of America A.

In The Last Decade

Co-authorship network of co-authors of J. Paul Siebert i

Fields of papers citing papers by J. Paul Siebert

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

Countries citing papers authored by J. Paul Siebert

Since Specialization
Citations

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

Rankless by CCL
2025