Matthew S. Gerber

30 papers and 933 indexed citations i.

About

Matthew S. Gerber is a scholar working on Artificial Intelligence, Sociology and Political Science and Oncology. According to data from OpenAlex, Matthew S. Gerber has authored 30 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Sociology and Political Science and 5 papers in Oncology. Recurrent topics in Matthew S. Gerber’s work include Topic Modeling (7 papers), Crime Patterns and Interventions (6 papers) and Digital Mental Health Interventions (5 papers). Matthew S. Gerber is often cited by papers focused on Topic Modeling (7 papers), Crime Patterns and Interventions (6 papers) and Digital Mental Health Interventions (5 papers). Matthew S. Gerber collaborates with scholars based in United States, Iran and Austria. Matthew S. Gerber's co-authors include Laura E. Barnes, Joyce Chai, Donald E. Brown, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Kamran Kowsari, Yu Huang, Haoyi Xiong, Mingjun Wang and Philip I. Chow and has published in prestigious journals such as European Journal of Operational Research, Metabolism and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Matthew S. Gerber i

Fields of papers citing papers by Matthew S. Gerber

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

Countries citing papers authored by Matthew S. Gerber

Since Specialization
Citations

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

Rankless by CCL
2025