Twitter (United States)

651 papers and 12.4k indexed citations i.

About

In recent decades, authors affiliated with Twitter (United States) have published 651 papers, which have received a total of 12.4k indexed citations. Scholars at this organization have produced 116 papers in Artificial Intelligence, 102 papers in Surgery and 78 papers in Communication on the topics of Social Media and Politics (47 papers), Communication and COVID-19 Impact (28 papers) and Complex Network Analysis Techniques (25 papers). Their work is cited by papers focused on Artificial Intelligence (3.1k citations), Computer Vision and Pattern Recognition (2.4k citations) and Sociology and Political Science (1.7k citations). Authors at Twitter (United States) collaborate with scholars in United States, Spain and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American College of Cardiology. Some of Twitter (United States)'s most productive authors include Wenzhe Shi, Jimmy Lin, Yudian Zheng, Lucas Theis and Ferenc Huszár.

In The Last Decade

Fields of papers published by authors at Twitter (United States)

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 affiliated with Twitter (United States) at the time of their publication. Nodes represent fields, and links connect fields that are likely to share authors.

Countries citing scholars working at Twitter (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Twitter (United States). 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 papers produced at Twitter (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Twitter (United States) more than expected).

Rankless by CCL
2025