Michael Wick

15 papers and 239 indexed citations i.

About

Michael Wick is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Michael Wick has authored 15 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Michael Wick’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Data Quality and Management (6 papers). Michael Wick is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Data Quality and Management (6 papers). Michael Wick collaborates with scholars based in United States and Italy. Michael Wick's co-authors include Andrew McCallum, Aron Culotta, Jean-Baptiste Tristan, Sameer Singh, Gerome Miklau, Adam Pocock, Karl Schultz, Khashayar Rohanimanesh, Guy L. Steele and Manzil Zaheer and has published in prestigious journals such as Proceedings of the VLDB Endowment, Language Resources and Evaluation and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).

In The Last Decade

Co-authorship network of co-authors of Michael Wick i

Fields of papers citing papers by Michael Wick

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

Countries citing papers authored by Michael Wick

Since Specialization
Citations

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

Rankless by CCL
2025