Keith Millis

3.1k citations
48 papers · 1.9k · h-index 22

Impact in

Papers in

Keith Millis

47 papers receiving 1.7k citations

Peers

Keith Millis
Comparison fields: 5 of 90
  • Developmental and Educational Psychology 1.1k
  • Experimental and Cognitive Psychology 563
  • Cognitive Neuroscience 536
  • Computer Science Applications 97
  • Artificial Intelligence 495
Replace Joseph P. Magliano with:
Joseph P. Magliano United States
John A. Glover United States
Joseph P. Magliano United States
Carole R. Beal United States
Robert C. Calfee United States
Patricia W. Cox United States
Hsueh‐Chih Chen Taiwan
Harry Singer United States
Vera Woloshyn Canada
Rose R. Olver United States
Keith Millis relative to Joseph P. Magliano United States Joseph P. Magliano's profile →
Citations per field
00.5×2.9×
Joseph P. Magliano · 1×
Citations per year

Countries citing papers authored by Keith Millis

Since Specialization
Citations

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

Fields of papers citing papers by Keith Millis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keith Millis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keith Millis Line = papers co-authored together Keith Millis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997416
2 2001168
3 1994158
4 2003132
5 201286
6 199468
7 201962
8 199860
9 200557
10 201055
11 199355
12 199542
13 200240
14 200636
15 201332
16 201232
17 201632
18 199524
19 200423
20 200722

About Keith Millis

Keith Millis is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reading and Literacy Development (20 papers), Educational Strategies and Epistemologies (15 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers), Innovative Teaching and Learning Methods (10 papers), Neurobiology of Language and Bilingualism (9 papers), Child and Animal Learning Development (7 papers), Creativity in Education and Neuroscience (6 papers) and Language, Metaphor, and Cognition (6 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Experimental and Cognitive Psychology (563 citations), Cognitive Neuroscience (536 citations), Computer Science Applications (97 citations) and Artificial Intelligence (495 citations). Keith Millis has collaborated with scholars based in United States and France. Frequent co-authors include Arthur C. Graesser, Rolf A. Zwaan, Joseph P. Magliano, Marcel Adam Just, Carol Forsyth, Joseph P. Magliano, M. Anne Britt, Danielle S. McNamara, Katja Wiemer-Hastings and Seymore Simon. Their work appears in journals such as Discourse Processes, Emotion, Journal of Memory and Language, Technology Knowledge and Learning and Poetics.

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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