Noah D. Forrin

478 total citations
20 papers, 321 citations indexed

About

Noah D. Forrin is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Noah D. Forrin has authored 20 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Social Psychology and 8 papers in Developmental and Educational Psychology. Recurrent topics in Noah D. Forrin's work include Memory Processes and Influences (8 papers), Mind wandering and attention (7 papers) and Neural and Behavioral Psychology Studies (7 papers). Noah D. Forrin is often cited by papers focused on Memory Processes and Influences (8 papers), Mind wandering and attention (7 papers) and Neural and Behavioral Psychology Studies (7 papers). Noah D. Forrin collaborates with scholars based in Canada and United States. Noah D. Forrin's co-authors include Colin M. MacLeod, Jason D. Ozubko, Daniel Smilek, Evan F. Risko, Tanya R. Jonker, Caitlin Mills, Sidney K. D’Mello, Peter Ho, Faria Sana and Michael E. J. Masson and has published in prestigious journals such as Journal of Experimental Psychology Learning Memory and Cognition, Journal of Memory and Language and Memory & Cognition.

In The Last Decade

Noah D. Forrin

18 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noah D. Forrin Canada	11	246	105	80	55	50	20	321
Sara D. Davis United States	10	252 1.0×	99 0.9×	81 1.0×	82 1.5×	92 1.8×	17	315
Jodi Price United States	11	288 1.2×	126 1.2×	132 1.6×	78 1.4×	46 0.9×	20	375
Martin R. Vasilev United Kingdom	10	187 0.8×	117 1.1×	121 1.5×	33 0.6×	31 0.6×	20	335
Kit W. Cho United States	12	199 0.8×	125 1.2×	156 1.9×	81 1.5×	111 2.2×	39	417
Gerson Américo Janczura Brazil	8	182 0.7×	97 0.9×	67 0.8×	37 0.7×	87 1.7×	20	305
Joel T. Koeth United States	3	241 1.0×	286 2.7×	114 1.4×	29 0.5×	39 0.8×	3	470
Kilian Semmelmann Germany	5	119 0.5×	52 0.5×	70 0.9×	35 0.6×	19 0.4×	8	265
Michael J. Stroud United States	9	331 1.3×	201 1.9×	120 1.5×	48 0.9×	67 1.3×	19	469
Maciej Hanczakowski United Kingdom	15	466 1.9×	180 1.7×	183 2.3×	138 2.5×	95 1.9×	37	532
Lincoln Colling United Kingdom	10	330 1.3×	228 2.2×	91 1.1×	57 1.0×	12 0.2×	18	484

Countries citing papers authored by Noah D. Forrin

Since Specialization

Citations

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

Fields of papers citing papers by Noah D. Forrin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah D. Forrin. 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 Noah D. Forrin. The network helps show where Noah D. Forrin may publish in the future.

Co-authorship network of co-authors of Noah D. Forrin

This figure shows the co-authorship network connecting the top 25 collaborators of Noah D. Forrin. A scholar is included among the top collaborators of Noah D. Forrin 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 Noah D. Forrin. Noah D. Forrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Forrin, Noah D., et al.. (2024). Investigating attention contagion between students in a lecture hall.. Scholarship of Teaching and Learning in Psychology. 12(1). 64–85.

Forrin, Noah D., et al.. (2022). Attention contagion online: Attention spreads between students in a virtual classroom.. Journal of Applied Research in Memory and Cognition. 12(1). 59–69. 3 indexed citations

Forrin, Noah D., et al.. (2021). Attention spreads between students in a learning environment.. Journal of Experimental Psychology Applied. 27(2). 276–291. 4 indexed citations

Browne, Dillon T., et al.. (2021). Performance anticipation diminishes memory: Evidence from a simulated classroom.. Journal of Applied Research in Memory and Cognition. 10(3). 479–489. 1 indexed citations

Forrin, Noah D., Caitlin Mills, Sidney K. D’Mello, et al.. (2020). TL;DR: Longer Sections of Text Increase Rates of Unintentional Mind-Wandering. The Journal of Experimental Education. 89(2). 278–290. 16 indexed citations

Sana, Faria, et al.. (2020). Optimizing the Efficacy of Learning Objectives through Pretests. CBE—Life Sciences Education. 19(3). ar43–ar43. 20 indexed citations

Forrin, Noah D., et al.. (2019). Wait for it…performance anticipation reduces recognition memory. Journal of Memory and Language. 109. 104050–104050. 7 indexed citations

Forrin, Noah D., Evan F. Risko, & Daniel Smilek. (2018). In the eye of the beholder: Evaluative context modulates mind-wandering. Acta Psychologica. 185. 172–179. 4 indexed citations

Forrin, Noah D.. (2018). Data for: In the eye of the beholder: Evaluative context modulates mind-wandering. Data Archiving and Networked Services (DANS). 1.

10.

Forrin, Noah D. & Colin M. MacLeod. (2017). Contingency proportion systematically influences contingency learning. Attention Perception & Psychophysics. 80(1). 155–165. 12 indexed citations

11.

Forrin, Noah D. & Colin M. MacLeod. (2017). Relative speed of processing determines color–word contingency learning. Memory & Cognition. 45(7). 1206–1222. 18 indexed citations

12.

Forrin, Noah D., Evan F. Risko, & Daniel Smilek. (2017). On the relation between reading difficulty and mind-wandering: a section-length account. Psychological Research. 83(3). 485–497. 21 indexed citations

13.

Forrin, Noah D. & Colin M. MacLeod. (2017). This time it’s personal: the memory benefit of hearing oneself. Memory. 26(4). 574–579. 34 indexed citations

14.

Forrin, Noah D. & Colin M. MacLeod. (2017). Cross-modality translations improve recognition by reducing false alarms. Memory. 26(1). 53–58. 1 indexed citations

15.

Forrin, Noah D. & Colin M. MacLeod. (2016). Order information is used to guide recall of long lists: Further evidence for the item-order account.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 70(2). 125–138. 14 indexed citations

16.

Forrin, Noah D. & Colin M. MacLeod. (2016). Auditory presentation at test does not diminish the production effect in recognition.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 70(2). 116–124. 7 indexed citations

17.

Forrin, Noah D., et al.. (2016). The d-Prime directive: Assessing costs and benefits in recognition by dissociating mixed-list false alarm rates.. Journal of Experimental Psychology Learning Memory and Cognition. 42(7). 1090–1111. 32 indexed citations

18.

Forrin, Noah D., Tanya R. Jonker, & Colin M. MacLeod. (2013). Production improves memory equivalently following elaborative vs non-elaborative processing. Memory. 22(5). 470–480. 25 indexed citations

19.

MacLeod, Colin M., et al.. (2012). The next generation: the value of reminding. Memory & Cognition. 40(5). 693–702. 11 indexed citations

20.

Forrin, Noah D., Colin M. MacLeod, & Jason D. Ozubko. (2012). Widening the boundaries of the production effect. Memory & Cognition. 40(7). 1046–1055. 91 indexed citations

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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