Philip I. Pavlik

43 papers and 559 indexed citations i.

About

Philip I. Pavlik is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Philip I. Pavlik has authored 43 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 18 papers in Computer Science Applications and 18 papers in Developmental and Educational Psychology. Recurrent topics in Philip I. Pavlik’s work include Intelligent Tutoring Systems and Adaptive Learning (27 papers), Online Learning and Analytics (17 papers) and Innovative Teaching and Learning Methods (13 papers). Philip I. Pavlik is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (27 papers), Online Learning and Analytics (17 papers) and Innovative Teaching and Learning Methods (13 papers). Philip I. Pavlik collaborates with scholars based in United States, Canada and Germany. Philip I. Pavlik's co-authors include John R. Anderson, Erik D. Thiessen, Kenneth R. Koedinger, Hao Cen, Arthur C. Graesser, Andrew M. Olney, Xiangen Hu, Benjamin D. Nye, Alistair Windsor and Zhiqiang Cai and has published in prestigious journals such as Journal of Educational Psychology, Journal of Memory and Language and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Philip I. Pavlik i

Fields of papers citing papers by Philip I. Pavlik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip I. Pavlik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip I. Pavlik. The network helps show where Philip I. Pavlik may publish in the future.

Countries citing papers authored by Philip I. Pavlik

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025