Ian G. Dobbins

5.5k total citations
78 papers, 4.0k citations indexed

About

Ian G. Dobbins is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ian G. Dobbins has authored 78 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cognitive Neuroscience, 24 papers in Social Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Ian G. Dobbins's work include Memory Processes and Influences (61 papers), Neural and Behavioral Psychology Studies (37 papers) and Memory and Neural Mechanisms (28 papers). Ian G. Dobbins is often cited by papers focused on Memory Processes and Influences (61 papers), Neural and Behavioral Psychology Studies (37 papers) and Memory and Neural Mechanisms (28 papers). Ian G. Dobbins collaborates with scholars based in United States, United Kingdom and Germany. Ian G. Dobbins's co-authors include Daniel L. Schacter, Anthony D. Wagner, Neal E. A. Kroll, Andrew P. Yonelinas, David M. Schnyer, Sanghoon Han, Heather Foley, Robert T. Knight, Mieke Verfaellie and Michele M. Lazzara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Ian G. Dobbins

76 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian G. Dobbins United States 33 3.7k 675 527 454 302 78 4.0k
Scott D. Slotnick United States 31 3.4k 0.9× 617 0.9× 335 0.6× 569 1.3× 325 1.1× 101 3.8k
Wilma Koutstaal United States 29 4.3k 1.2× 815 1.2× 734 1.4× 687 1.5× 192 0.6× 81 4.9k
Jeremy R. Reynolds United States 19 3.2k 0.9× 551 0.8× 562 1.1× 1.1k 2.4× 180 0.6× 24 4.2k
Carol A. Seger United States 33 3.3k 0.9× 819 1.2× 1.1k 2.1× 891 2.0× 383 1.3× 77 4.4k
Leun J. Otten United Kingdom 30 4.4k 1.2× 450 0.7× 719 1.4× 914 2.0× 388 1.3× 43 4.8k
E. Juliana Paré‐Blagoev United States 15 2.2k 0.6× 365 0.5× 812 1.5× 405 0.9× 188 0.6× 31 2.9k
Thad A. Polk United States 31 2.9k 0.8× 313 0.5× 626 1.2× 693 1.5× 167 0.6× 79 3.9k
Elisa Ciaramelli Italy 29 3.5k 0.9× 437 0.6× 542 1.0× 754 1.7× 286 0.9× 73 4.1k
Maureen Ritchey United States 28 3.2k 0.9× 532 0.8× 442 0.8× 628 1.4× 710 2.4× 55 4.0k
Carter Wendelken United States 28 2.2k 0.6× 448 0.7× 609 1.2× 670 1.5× 139 0.5× 42 3.0k

Countries citing papers authored by Ian G. Dobbins

Since Specialization
Citations

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

Fields of papers citing papers by Ian G. Dobbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian G. Dobbins. 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 Ian G. Dobbins. The network helps show where Ian G. Dobbins may publish in the future.

Co-authorship network of co-authors of Ian G. Dobbins

This figure shows the co-authorship network connecting the top 25 collaborators of Ian G. Dobbins. A scholar is included among the top collaborators of Ian G. Dobbins 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 Ian G. Dobbins. Ian G. Dobbins 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
1.
Sadeh, Talya, et al.. (2025). How do we evaluate and learn from others’ memories?. Trends in Cognitive Sciences.
2.
Kantner, Justin, et al.. (2025). The sound of accurate recognition memory decisions. Psychonomic Bulletin & Review. 32(4). 1654–1663. 1 indexed citations
3.
Gilead, Michael, et al.. (2024). Detecting recollection: Human evaluators can successfully assess the veracity of others’ memories. Proceedings of the National Academy of Sciences. 121(22). e2310979121–e2310979121. 3 indexed citations
4.
Dobbins, Ian G.. (2023). Recognition receiver operating characteristic asymmetry: Increased noise or information?. Journal of Experimental Psychology Learning Memory and Cognition. 49(2). 216–229. 3 indexed citations
5.
Dobbins, Ian G.. (2022). Recognition language classifiers demonstrate far transfer of learning. Psychonomic Bulletin & Review. 29(4). 1414–1425. 4 indexed citations
6.
Dobbins, Ian G., et al.. (2021). Critical tests of the continuous dual-process model of recognition. Cognition. 215. 104827–104827. 2 indexed citations
7.
Dobbins, Ian G.. (2021). Pupil dilation signals recognition salience. Psychonomic Bulletin & Review. 28(2). 565–573. 4 indexed citations
8.
Jaeger, Antônio, et al.. (2020). Source retrieval under cueing: Dissociated effects on accuracy versus confidence.. Journal of Experimental Psychology Learning Memory and Cognition. 46(8). 1477–1493. 3 indexed citations
9.
Kantner, Justin & Ian G. Dobbins. (2019). Partitioning the sources of recognition confidence: The role of individual differences. Psychonomic Bulletin & Review. 26(4). 1317–1324. 17 indexed citations
10.
Selmeczy, Diana & Ian G. Dobbins. (2017). Ignoring memory hints: The stubborn influence of environmental cues on recognition memory.. Journal of Experimental Psychology Learning Memory and Cognition. 43(9). 1448–1469. 8 indexed citations
11.
Wahlheim, Christopher N., Lauren L. Richmond, Mark J. Huff, & Ian G. Dobbins. (2016). Characterizing adult age differences in the initiation and organization of retrieval: A further investigation of retrieval dynamics in dual-list free recall.. Psychology and Aging. 31(7). 786–797. 10 indexed citations
12.
Konkel, Alex, Diana Selmeczy, & Ian G. Dobbins. (2015). They can take a hint: Older adults effectively integrate memory cues during recognition.. Psychology and Aging. 30(4). 781–794. 10 indexed citations
13.
Jaeger, Antônio, Alex Konkel, & Ian G. Dobbins. (2013). Unexpected novelty and familiarity orienting responses in lateral parietal cortex during recognition judgment. Neuropsychologia. 51(6). 1061–1076. 39 indexed citations
14.
O’Connor, Akira R., et al.. (2011). Some memories are odder than others: Judgments of episodic oddity violate known decision rules. Journal of Memory and Language. 64(4). 299–315. 6 indexed citations
15.
O’Connor, Akira R., Sanghoon Han, & Ian G. Dobbins. (2010). The Inferior Parietal Lobule and Recognition Memory: Expectancy Violation or Successful Retrieval?. Journal of Neuroscience. 30(8). 2924–2934. 134 indexed citations
16.
Payne, B. Keith, F. Joseph McClernon, & Ian G. Dobbins. (2007). Automatic affective responses to smoking cues.. Experimental and Clinical Psychopharmacology. 15(4). 400–409. 74 indexed citations
17.
Schnyer, David M., et al.. (2007). Item to decision mapping in rapid response learning. Memory & Cognition. 35(6). 1472–1482. 37 indexed citations
18.
Schnyer, David M., et al.. (2005). Rapid response learning in amnesia: Delineating associative learning components in repetition priming. Neuropsychologia. 44(1). 140–149. 50 indexed citations
19.
Dobbins, Ian G., Heather Foley, Daniel L. Schacter, & Anthony D. Wagner. (2002). Executive Control during Episodic Retrieval. Neuron. 35(5). 989–996. 399 indexed citations
20.
Dobbins, Ian G.. (2001). The systematic discrepancy betweenA′ for overall recognition and remembering: A dual-process account. Psychonomic Bulletin & Review. 8(3). 587–599. 8 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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