Matt Gardner

63 papers and 2.9k indexed citations i.

About

Matt Gardner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Matt Gardner has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Matt Gardner’s work include Topic Modeling (51 papers), Natural Language Processing Techniques (47 papers) and Multimodal Machine Learning Applications (20 papers). Matt Gardner is often cited by papers focused on Topic Modeling (51 papers), Natural Language Processing Techniques (47 papers) and Multimodal Machine Learning Applications (20 papers). Matt Gardner collaborates with scholars based in United States, Israel and United Kingdom. Matt Gardner's co-authors include Nelson F. Liu, Matthew E. Peters, Sameer Singh, Pradeep Dasigi, Oyvind Tafjord, Noah A. Smith, Eric Wallace, Christopher Clark, Tom M. Mitchell and Jayant Krishnamurthy and has published in prestigious journals such as ACM Computing Surveys, Journal of Business and Economic Statistics and npj Digital Medicine.

In The Last Decade

Co-authorship network of co-authors of Matt Gardner i

Fields of papers citing papers by Matt Gardner

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

Countries citing papers authored by Matt Gardner

Since Specialization
Citations

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

Rankless by CCL
2025