Elizabeth M. Gerber

39 papers and 932 indexed citations i.

About

Elizabeth M. Gerber is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Sociology and Political Science. According to data from OpenAlex, Elizabeth M. Gerber has authored 39 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Science Applications, 9 papers in Developmental and Educational Psychology and 9 papers in Sociology and Political Science. Recurrent topics in Elizabeth M. Gerber’s work include Mobile Crowdsensing and Crowdsourcing (12 papers), Innovative Teaching and Learning Methods (9 papers) and Open Source Software Innovations (7 papers). Elizabeth M. Gerber is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (12 papers), Innovative Teaching and Learning Methods (9 papers) and Open Source Software Innovations (7 papers). Elizabeth M. Gerber collaborates with scholars based in United States, Switzerland and United Kingdom. Elizabeth M. Gerber's co-authors include Daniel Rees Lewis, Matthew W. Easterday, Mira Dontcheva, Robert R. Morris and Haoqi Zhang and has published in prestigious journals such as Organization Science, Journal of the Learning Sciences and Educational Technology Research and Development.

In The Last Decade

Fields of papers citing papers by Elizabeth M. 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 Elizabeth M. Gerber. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Elizabeth M. Gerber may publish in the future.

Countries citing papers authored by Elizabeth M. Gerber

Since Specialization
Citations

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

Rankless by CCL
2025