Bridgid Finn

2.5k total citations
47 papers, 1.8k citations indexed

About

Bridgid Finn is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Bridgid Finn has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Developmental and Educational Psychology, 23 papers in Cognitive Neuroscience and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Bridgid Finn's work include Memory Processes and Influences (22 papers), Innovative Teaching and Learning Methods (11 papers) and Educational Strategies and Epistemologies (10 papers). Bridgid Finn is often cited by papers focused on Memory Processes and Influences (22 papers), Innovative Teaching and Learning Methods (11 papers) and Educational Strategies and Epistemologies (10 papers). Bridgid Finn collaborates with scholars based in United States, Netherlands and Portugal. Bridgid Finn's co-authors include Janet Metcalfe, Henry L. Roediger, David B. Miele, Nate Kornell, Sarah K. Tauber, Daniel C. Molden, Marlit Annalena Lindner, Larry L. Jacoby, Ruthann C. Thomas and Katherine A. Rawson and has published in prestigious journals such as Psychological Science, Journal of Educational Psychology and Computers & Education.

In The Last Decade

Bridgid Finn

45 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
Bridgid Finn United States 22 878 875 571 371 371 47 1.8k
Lisa K. Son United States 19 945 1.1× 975 1.1× 505 0.9× 382 1.0× 248 0.7× 37 1.7k
Sarah K. Tauber United States 24 755 0.9× 1.1k 1.3× 642 1.1× 303 0.8× 203 0.5× 52 1.6k
Peter P. J. L. Verkoeijen Netherlands 22 523 0.6× 513 0.6× 345 0.6× 262 0.7× 336 0.9× 74 1.3k
Ruth H. Maki United States 26 1.2k 1.3× 935 1.1× 647 1.1× 378 1.0× 548 1.5× 61 2.3k
Benjamin C. Storm United States 25 617 0.7× 1.5k 1.7× 761 1.3× 446 1.2× 131 0.4× 70 2.0k
Vera Woloshyn Canada 17 752 0.9× 494 0.6× 273 0.5× 171 0.5× 591 1.6× 60 1.6k
Marci S. DeCaro United States 15 517 0.6× 362 0.4× 505 0.9× 155 0.4× 345 0.9× 49 1.4k
Rainer H. Kluwe Germany 14 920 1.0× 689 0.8× 384 0.7× 116 0.3× 679 1.8× 25 1.9k
Steve Joordens Canada 27 759 0.9× 1.8k 2.1× 506 0.9× 249 0.7× 275 0.7× 62 2.5k
Lindsey E. Richland United States 21 1.2k 1.4× 470 0.5× 612 1.1× 241 0.6× 978 2.6× 72 2.2k

Countries citing papers authored by Bridgid Finn

Since Specialization
Citations

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

Fields of papers citing papers by Bridgid Finn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bridgid Finn

This figure shows the co-authorship network connecting the top 25 collaborators of Bridgid Finn. A scholar is included among the top collaborators of Bridgid Finn 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 Bridgid Finn. Bridgid Finn 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.
Finn, Bridgid, et al.. (2023). The Effects of Personalized Nudges on Cognitively Disengaged Student Behavior in Low-Stakes Assessments. Journal of Intelligence. 11(11). 204–204. 3 indexed citations
2.
Tenison, Caitlin, et al.. (2023). Going Beyond Observable Actions. European Journal of Psychological Assessment. 39(4). 263–270. 4 indexed citations
3.
Carneiro, Paula, et al.. (2021). Memory updating after retrieval: when new information is false or correct. Memory. 29(9). 1156–1175. 2 indexed citations
4.
Finn, Bridgid, et al.. (2020). Computational cognitive modeling of human calibration and validity response scoring for the Graduate Record Examinations (GRE).. Journal of Applied Research in Memory and Cognition. 10(1). 143–154. 1 indexed citations
5.
Finn, Bridgid, et al.. (2018). Does the Time between Scoring Sessions Impact Scoring Accuracy? An Evaluation of Constructed-Response Essay Responses on the "GRE"® General Test. Research Report. ETS RR-18-31.. ETS Research Report Series. 2 indexed citations
6.
Rikoon, Samuel H., et al.. (2018). Crosscutting Literature on STEAM Ecosystems, Expectancy Value Theory, and Social Emotional Learning: A Metadata Synthesis. ETS Research Report Series. 2018(1). 1–15. 6 indexed citations
7.
Kornell, Nate & Bridgid Finn. (2015). Self-Regulated Learning. Oxford University Press eBooks. 7 indexed citations
8.
Finn, Bridgid. (2015). Measuring Motivation in Low-Stakes Assessments. Research Report. ETS RR-15-19.. ETS Research Report Series. 4 indexed citations
9.
Finn, Bridgid & Sarah K. Tauber. (2015). When Confidence Is Not a Signal of Knowing: How Students’ Experiences and Beliefs About Processing Fluency Can Lead to Miscalibrated Confidence. Educational Psychology Review. 27(4). 567–586. 56 indexed citations
10.
Thomas, Ruthann C., Bridgid Finn, & Larry L. Jacoby. (2015). Prior experience shapes metacognitive judgments at the category level: the role of testing and category difficulty. Metacognition and Learning. 11(3). 257–274. 11 indexed citations
11.
Finn, Bridgid & David B. Miele. (2015). Hitting a high note on math tests: Remembered success influences test preferences.. Journal of Experimental Psychology Learning Memory and Cognition. 42(1). 17–38. 22 indexed citations
12.
Finn, Bridgid & Janet Metcalfe. (2014). Overconfidence in children's multi-trial judgments of learning. Learning and Instruction. 32. 1–9. 62 indexed citations
13.
Finn, Bridgid & Henry L. Roediger. (2013). Interfering effects of retrieval in learning new information.. Journal of Experimental Psychology Learning Memory and Cognition. 39(6). 1665–1681. 26 indexed citations
14.
Metcalfe, Janet & Bridgid Finn. (2013). Metacognition and control of study choice in children. Metacognition and Learning. 8(1). 19–46. 84 indexed citations
15.
Finn, Bridgid. (2010). Ending on a high note: Adding a better end to effortful study.. Journal of Experimental Psychology Learning Memory and Cognition. 36(6). 1548–1553. 36 indexed citations
16.
Metcalfe, Janet & Bridgid Finn. (2008). Evidence that judgments of learning are causally related to study choice. Psychonomic Bulletin & Review. 15(1). 174–179. 293 indexed citations
17.
Metcalfe, Janet & Bridgid Finn. (2008). Familiarity and retrieval processes in delayed judgments of learning.. Journal of Experimental Psychology Learning Memory and Cognition. 34(5). 1084–1097. 64 indexed citations
18.
Finn, Bridgid. (2008). Framing effects on metacognitive monitoring and control. Memory & Cognition. 36(4). 813–821. 90 indexed citations
19.
Finn, Bridgid & Janet Metcalfe. (2007). The role of memory for past test in the underconfidence with practice effect.. Journal of Experimental Psychology Learning Memory and Cognition. 33(1). 238–244. 125 indexed citations
20.
Finn, Bridgid & Janet Metcalfe. (2007). Judgments of learning are influenced by memory for past test. Journal of Memory and Language. 58(1). 19–34. 97 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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