Thomas Geier

10 papers and 91 indexed citations i.

About

Thomas Geier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Thomas Geier has authored 10 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Thomas Geier’s work include AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Distributed Constraint Optimization Problems and Algorithms (2 papers). Thomas Geier is often cited by papers focused on AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Distributed Constraint Optimization Problems and Algorithms (2 papers). Thomas Geier collaborates with scholars based in Germany and The Netherlands. Thomas Geier's co-authors include Susanne Biundo, Pascal Bercher, Felix Richter, Florian Nothdurft and Wolfgang Minker and has published in prestigious journals such as Neurocomputing, Cognitive Systems Research and ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik.

In The Last Decade

Fields of papers citing papers by Thomas Geier

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

Countries citing papers authored by Thomas Geier

Since Specialization
Citations

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

Rankless by CCL
2025