Mark Schwabacher

31 papers and 934 indexed citations i.

About

Mark Schwabacher is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mark Schwabacher has authored 31 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in Mark Schwabacher’s work include Fault Detection and Control Systems (10 papers), Anomaly Detection Techniques and Applications (8 papers) and AI-based Problem Solving and Planning (7 papers). Mark Schwabacher is often cited by papers focused on Fault Detection and Control Systems (10 papers), Anomaly Detection Techniques and Applications (8 papers) and AI-based Problem Solving and Planning (7 papers). Mark Schwabacher collaborates with scholars based in United States. Mark Schwabacher's co-authors include Andrew Gelsey, Doyle Knight, Thomas Ellman, Rodney Martin and Khaled Rasheed and has published in prestigious journals such as Artificial Intelligence, SAE technical papers on CD-ROM/SAE technical paper series and Decision Support Systems.

In The Last Decade

Fields of papers citing papers by Mark Schwabacher

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

Countries citing papers authored by Mark Schwabacher

Since Specialization
Citations

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

Rankless by CCL
2025