Martin Riedl

60 papers and 608 indexed citations i.

About

Martin Riedl is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Martin Riedl has authored 60 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 28 papers in Communication and 17 papers in Sociology and Political Science. Recurrent topics in Martin Riedl’s work include Social Media and Politics (26 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (15 papers). Martin Riedl is often cited by papers focused on Social Media and Politics (26 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (15 papers). Martin Riedl collaborates with scholars based in United States, Germany and Austria. Martin Riedl's co-authors include Chris Biemann, Gina Masullo Chen, Samuel Woolley, Pablo Jost and Teresa K. Naab and has published in prestigious journals such as Clinical Chemistry, Computers in Human Behavior and Journal of Experimental Biology.

In The Last Decade

Fields of papers citing papers by Martin Riedl

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

Countries citing papers authored by Martin Riedl

Since Specialization
Citations

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

Rankless by CCL
2025