Glen E. Bodner

2.4k total citations
65 papers, 1.7k citations indexed

About

Glen E. Bodner is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Glen E. Bodner has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 24 papers in Social Psychology and 19 papers in Developmental and Educational Psychology. Recurrent topics in Glen E. Bodner's work include Memory Processes and Influences (41 papers), Deception detection and forensic psychology (22 papers) and Neural and Behavioral Psychology Studies (17 papers). Glen E. Bodner is often cited by papers focused on Memory Processes and Influences (41 papers), Deception detection and forensic psychology (22 papers) and Neural and Behavioral Psychology Studies (17 papers). Glen E. Bodner collaborates with scholars based in Canada, Australia and United States. Glen E. Bodner's co-authors include Michael E. J. Masson, Raymond W. Gunter, Mark J. Huff, Jonathan M. Fawcett, Colin M. MacLeod, Penny M. Pexman, Paul D. Siakaluk, Ian S. Hargreaves, David M. Sidhu and Randall K. Jamieson and has published in prestigious journals such as PLoS ONE, Behaviour Research and Therapy and Nutrients.

In The Last Decade

Glen E. Bodner

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glen E. Bodner Canada 22 1.4k 616 438 435 246 65 1.7k
Daniel J. Acheson Netherlands 19 1.4k 1.0× 880 1.4× 170 0.4× 450 1.0× 165 0.7× 30 1.8k
Evelyn C. Ferstl Germany 20 1.7k 1.3× 714 1.2× 703 1.6× 780 1.8× 116 0.5× 47 2.3k
Bernhard Pastötter Germany 22 1.9k 1.4× 290 0.5× 264 0.6× 468 1.1× 186 0.8× 59 2.1k
Chi‐Shing Tse Hong Kong 23 1.1k 0.8× 578 0.9× 262 0.6× 526 1.2× 222 0.9× 80 1.7k
Gezinus Wolters Netherlands 21 1.1k 0.8× 286 0.5× 259 0.6× 242 0.6× 140 0.6× 49 1.4k
Anjali Thapar United States 19 1.6k 1.2× 340 0.6× 312 0.7× 482 1.1× 190 0.8× 25 2.0k
Taomei Guo China 26 2.1k 1.5× 1.4k 2.3× 274 0.6× 613 1.4× 95 0.4× 88 2.5k
Aureliu Lavric United Kingdom 20 1.3k 0.9× 411 0.7× 174 0.4× 474 1.1× 62 0.3× 48 1.7k
Christopher R. Sears Canada 25 1.0k 0.8× 707 1.1× 292 0.7× 728 1.7× 106 0.4× 63 1.8k
Jeffrey P. Toth United States 23 2.0k 1.4× 646 1.0× 532 1.2× 416 1.0× 219 0.9× 31 2.3k

Countries citing papers authored by Glen E. Bodner

Since Specialization
Citations

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

Fields of papers citing papers by Glen E. Bodner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen E. Bodner. 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 Glen E. Bodner. The network helps show where Glen E. Bodner may publish in the future.

Co-authorship network of co-authors of Glen E. Bodner

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

All Works

20 of 20 papers shown
2.
Bodner, Glen E., et al.. (2024). Drawing on memory: A meta‐analytic review. Journal of Investigative Psychology and Offender Profiling. 21(3). 2 indexed citations
3.
Bodner, Glen E., et al.. (2023). Reading text aloud benefits memory but not comprehension. Memory & Cognition. 52(1). 57–72. 3 indexed citations
4.
Williams, Helen, Glen E. Bodner, & D. Stephen Lindsay. (2023). Recognition, remember-know, and confidence judgments: no evidence of cross-contamination here!. Memory. 31(7). 905–917. 1 indexed citations
5.
Bodner, Glen E., et al.. (2023). Open-minded and reflective thinking predicts reasoning and meta-reasoning: evidence from a ratio-bias conflict task. Thinking & Reasoning. 30(3). 419–445. 1 indexed citations
6.
Bodner, Glen E., et al.. (2022). Pupil dilation during recognition reflects the subjective recollection/familiarity experience at test rather than the level of processing at encoding.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 76(3). 186–192. 3 indexed citations
7.
Bodner, Glen E., et al.. (2021). Neural correlates of the production effect: An fMRI study. Brain and Cognition. 152. 105757–105757. 13 indexed citations
8.
Bodner, Glen E., et al.. (2020). Comparing recollection and nonrecollection memory states for recall of general knowledge: A nontrivial pursuit.. Journal of Experimental Psychology Learning Memory and Cognition. 46(11). 2207–2225. 3 indexed citations
9.
Bodner, Glen E., et al.. (2016). The production effect in long-list recall: In no particular order?. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 70(2). 165–176. 16 indexed citations
11.
Bodner, Glen E., Jeremy C. S. Johnson, & Michael E. J. Masson. (2015). Fluency can bias masked priming of binary judgments: Evidence from an all-nonword task.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 69(2). 200–205. 1 indexed citations
12.
Bodner, Glen E., et al.. (2014). Effects of context on recollection and familiarity experiences are task dependent. Consciousness and Cognition. 33. 78–89. 5 indexed citations
13.
Huff, Mark J. & Glen E. Bodner. (2013). When does memory monitoring succeed versus fail? Comparing item-specific and relational encoding in the DRM paradigm.. Journal of Experimental Psychology Learning Memory and Cognition. 39(4). 1246–1256. 51 indexed citations
14.
Bodner, Glen E., et al.. (2010). Wiping out memories: New support for a mental context change account of directed forgetting. Memory. 18(7). 763–773. 12 indexed citations
15.
Gunter, Raymond W. & Glen E. Bodner. (2009). EMDR Works . . . But How? Recent Progress in the Search for Treatment Mechanisms. Journal of EMDR Practice and Research. 3(3). 161–168. 33 indexed citations
16.
Gunter, Raymond W. & Glen E. Bodner. (2008). How eye movements affect unpleasant memories: Support for a working-memory account. Behaviour Research and Therapy. 46(8). 913–931. 248 indexed citations
17.
Bodner, Glen E., et al.. (2006). Repetition proportion biases masked priming of lexical decisions. Memory & Cognition. 34(6). 1298–1311. 35 indexed citations
18.
Gunter, Raymond W., et al.. (2005). Can test list context manipulations improve recognition accuracy in the DRM paradigm?. Memory. 13(8). 862–873. 11 indexed citations
19.
Bodner, Glen E. & Michael E. J. Masson. (2003). Beyond spreading activation: An influence of relatedness proportion on masked semantic priming. Psychonomic Bulletin & Review. 10(3). 645–652. 112 indexed citations
20.
Bodner, Glen E., et al.. (2000). Evidence for a generate-recognize model of episodic influences on word-stem completion.. Journal of Experimental Psychology Learning Memory and Cognition. 26(2). 267–293. 27 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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