Carol Forsyth

57 total papers · 851 total citations
21 papers, 380 citations indexed

About

Carol Forsyth is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Carol Forsyth has authored 21 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Developmental and Educational Psychology and 5 papers in Computer Science Applications. Recurrent topics in Carol Forsyth's work include Intelligent Tutoring Systems and Adaptive Learning (13 papers), Innovative Teaching and Learning Methods (11 papers) and Online Learning and Analytics (5 papers). Carol Forsyth is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (13 papers), Innovative Teaching and Learning Methods (11 papers) and Online Learning and Analytics (5 papers). Carol Forsyth collaborates with scholars based in United States and South Korea. Carol Forsyth's co-authors include Arthur C. Graesser, Jessica Andrews‐Todd, Keith Millis, Zhiqiang Cai, Diane F. Halpern, Heather A. Butler, Jonathan Steinberg, Patricia Wallace, Diego Zapata‐Rivera and Philip I. Pavlik and has published in prestigious journals such as Computers in Human Behavior, Current Directions in Psychological Science and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

Carol Forsyth

21 papers receiving 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Carol Forsyth	237	143	102	97	46	21	380
Pablo Pirnay‐Dummer	216 0.9×	132 0.9×	125 1.2×	69 0.7×	33 0.7×	23	380
Jennifer K. Olsen	185 0.8×	95 0.7×	89 0.9×	121 1.2×	45 1.0×	35	369
Jessica Andrews‐Todd	247 1.0×	70 0.5×	148 1.5×	87 0.9×	71 1.5×	17	412
James R. Segedy	255 1.1×	187 1.3×	96 0.9×	186 1.9×	20 0.4×	17	377
James Lester	236 1.0×	174 1.2×	95 0.9×	157 1.6×	33 0.7×	17	420
Yoshiko Goda	159 0.7×	84 0.6×	165 1.6×	144 1.5×	26 0.6×	42	399
Gwo Dong Chen	102 0.4×	135 0.9×	116 1.1×	107 1.1×	104 2.3×	20	388
Héctor J. Pijeira‐Díaz	194 0.8×	66 0.5×	152 1.5×	154 1.6×	50 1.1×	15	397
Sandra Katz	153 0.6×	180 1.3×	54 0.5×	166 1.7×	22 0.5×	31	380
Michael Wiedmann	223 0.9×	70 0.5×	240 2.4×	114 1.2×	33 0.7×	12	405

Countries citing papers authored by Carol Forsyth

Since Specialization

Citations

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

Fields of papers citing papers by Carol Forsyth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Forsyth. 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 Carol Forsyth. The network helps show where Carol Forsyth may publish in the future.

Co-authorship network of co-authors of Carol Forsyth

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Forsyth. A scholar is included among the top collaborators of Carol Forsyth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Forsyth. Carol Forsyth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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