Peg Howland

5 papers and 514 indexed citations i.

About

Peg Howland is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Peg Howland has authored 5 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Statistics and Probability. Recurrent topics in Peg Howland’s work include Face and Expression Recognition (5 papers), Text and Document Classification Technologies (2 papers) and Image Retrieval and Classification Techniques (2 papers). Peg Howland is often cited by papers focused on Face and Expression Recognition (5 papers), Text and Document Classification Technologies (2 papers) and Image Retrieval and Classification Techniques (2 papers). Peg Howland collaborates with scholars based in United States. Peg Howland's co-authors include H. Park, Haesun Park, Moongu Jeon, Hyunsoo Kim and Jianlin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Peg Howland i

Fields of papers citing papers by Peg Howland

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

Countries citing papers authored by Peg Howland

Since Specialization
Citations

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

Rankless by CCL
2025