David Zimbra

14 papers and 1.1k indexed citations i.

About

David Zimbra is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, David Zimbra has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in David Zimbra’s work include Advanced Text Analysis Techniques (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Marketing and Social Media (4 papers). David Zimbra is often cited by papers focused on Advanced Text Analysis Techniques (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Marketing and Social Media (4 papers). David Zimbra collaborates with scholars based in United States and China. David Zimbra's co-authors include M. Ghiassi, H. Saidane, Hsinchun Chen, Hsinchun Chen, Ahmed Abbasi, Daniel Zeng, Sean Lee, Shan Jiang, Jay F. Nunamaker and Hsinchun Chen and has published in prestigious journals such as Expert Systems with Applications, Journal of Management Information Systems and Decision Support Systems.

In The Last Decade

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

Fields of papers citing papers by David Zimbra

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

Countries citing papers authored by David Zimbra

Since Specialization
Citations

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

Rankless by CCL
2025