John Connelly

37 total papers · 416 total citations
13 papers, 256 citations indexed

About

John Connelly is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Safety Research. According to data from OpenAlex, John Connelly has authored 13 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Developmental and Educational Psychology and 2 papers in Safety Research. Recurrent topics in John Connelly's work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and Disability Education and Employment (2 papers). John Connelly is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and Disability Education and Employment (2 papers). John Connelly collaborates with scholars based in United States and Netherlands. John Connelly's co-authors include Massimo Paolucci, Arlene W. Weiner, Sandra Katz, Daniel D. Suthers, David Allbritton, Eva Erdosne Toth, Dan Suthers, Alan M. Lesgold, Doris Bergen and Diane Litman and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, TechTrends and International Journal of Artificial Intelligence in Education.

In The Last Decade

John Connelly

12 papers receiving 216 citations

Author Peers

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

Author						Papers	Cites
John Connelly	161	149	58	50	27	13	256
Maria Moundridou	117 0.7×	106 0.7×	80 1.4×	38 0.8×	7 0.3×	16	230
Alina von Davier	114 0.7×	147 1.0×	87 1.5×	87 1.7×	26 1.0×	27	314
Grégory Dyke	99 0.6×	118 0.8×	88 1.5×	52 1.0×	31 1.1×	15	222
Michael Pin-Chuan Lin	128 0.8×	93 0.6×	140 2.4×	67 1.3×	7 0.3×	11	288
Jihee Kim	102 0.6×	61 0.4×	149 2.6×	75 1.5×	29 1.1×	22	331
Howard E. Herl	77 0.5×	156 1.0×	41 0.7×	137 2.7×	27 1.0×	10	272
H.F. O’Neil	75 0.5×	183 1.2×	47 0.8×	133 2.7×	33 1.2×	12	312
Gloria Milena Fernandez-Nieto	64 0.4×	87 0.6×	118 2.0×	74 1.5×	12 0.4×	17	271
Thushari Atapattu	113 0.7×	50 0.3×	109 1.9×	67 1.3×	10 0.4×	17	247
Στέργιος Τέγος	156 1.0×	93 0.6×	112 1.9×	43 0.9×	25 0.9×	20	290

Countries citing papers authored by John Connelly

Since Specialization

Citations

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

Fields of papers citing papers by John Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Connelly

This figure shows the co-authorship network connecting the top 25 collaborators of John Connelly. A scholar is included among the top collaborators of John Connelly 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 John Connelly. John Connelly 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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