David Gotz

67 papers and 1.7k indexed citations i.

About

David Gotz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, David Gotz has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in David Gotz’s work include Data Visualization and Analytics (40 papers), Time Series Analysis and Forecasting (11 papers) and Data Analysis with R (10 papers). David Gotz is often cited by papers focused on Data Visualization and Analytics (40 papers), Time Series Analysis and Forecasting (11 papers) and Data Analysis with R (10 papers). David Gotz collaborates with scholars based in United States, China and Hong Kong. David Gotz's co-authors include Nan Cao, Adam Perer, Krist Wongsuphasawat, Jimeng Sun, Harry Stavropoulos, Michelle X. Zhou, David Borland, Charles D. Stolper, Shunan Guo and Zhuochen Jin and has published in prestigious journals such as Biophysical Journal, Intensive Care Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of David Gotz i

Fields of papers citing papers by David Gotz

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

Countries citing papers authored by David Gotz

Since Specialization
Citations

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

Rankless by CCL
2025