S.N. Gottschlich

About

S.N. Gottschlich is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, S.N. Gottschlich has authored 7 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 4 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S.N. Gottschlich’s work include Manufacturing Process and Optimization (5 papers), Robot Manipulation and Learning (4 papers) and Industrial Vision Systems and Defect Detection (2 papers). S.N. Gottschlich is often cited by papers focused on Manufacturing Process and Optimization (5 papers), Robot Manipulation and Learning (4 papers) and Industrial Vision Systems and Defect Detection (2 papers). S.N. Gottschlich collaborates with scholars based in United States and Portugal. S.N. Gottschlich's co-authors include A.C. Kak, R.J. Safranek, Carlos Ramos and Damian M. Lyons and has published in prestigious journals such as IEEE Transactions on Robotics and Automation, Computer Vision and Image Understanding and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of S.N. Gottschlich i

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Fields of papers citing papers by S.N. Gottschlich

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

Countries citing papers authored by S.N. Gottschlich

Since Specialization

Citations

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

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