Maria A. Carlson

680 total citations
23 papers, 295 citations indexed

About

Maria A. Carlson is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Maria A. Carlson has authored 23 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Maria A. Carlson's work include Memory Processes and Influences (18 papers), Deception detection and forensic psychology (15 papers) and Face Recognition and Perception (12 papers). Maria A. Carlson is often cited by papers focused on Memory Processes and Influences (18 papers), Deception detection and forensic psychology (15 papers) and Face Recognition and Perception (12 papers). Maria A. Carlson collaborates with scholars based in United States and Finland. Maria A. Carlson's co-authors include Curt A. Carlson, Dawn R. Weatherford, Scott D. Gronlund, David F. Young, Stephen Reysen, Christian F. Hempelmann, Charles A. Goodsell, DeMarquis Hayes and Lacy E. Krueger and has published in prestigious journals such as Scientific Reports, Personality and Individual Differences and Applied Cognitive Psychology.

In The Last Decade

Maria A. Carlson

22 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria A. Carlson United States 10 249 177 57 56 47 23 295
Dawn R. Weatherford United States 9 150 0.6× 101 0.6× 28 0.5× 28 0.5× 39 0.8× 20 180
Stacy A. Wetmore United States 10 278 1.1× 250 1.4× 78 1.4× 70 1.3× 22 0.5× 32 382
Charles A. Goodsell United States 11 326 1.3× 274 1.5× 99 1.7× 61 1.1× 27 0.6× 17 390
Jennifer L Beaudry Australia 9 132 0.5× 109 0.6× 28 0.5× 21 0.4× 25 0.5× 27 224
K. Andrew DeSoto United States 9 137 0.6× 59 0.3× 13 0.2× 33 0.6× 33 0.7× 17 226
Kyle J. Susa United States 7 182 0.7× 104 0.6× 7 0.1× 13 0.2× 94 2.0× 14 265
Kathryn T. Wissman United States 10 233 0.9× 43 0.2× 18 0.3× 98 1.8× 103 2.2× 22 358
Katarzyna Zawadzka United Kingdom 10 261 1.0× 87 0.5× 4 0.1× 77 1.4× 101 2.1× 26 294
Nina R. Arnold Germany 10 236 0.9× 60 0.3× 4 0.1× 54 1.0× 137 2.9× 14 331
Peter Blouw Canada 7 123 0.5× 40 0.2× 2 0.0× 59 1.1× 43 0.9× 16 228

Countries citing papers authored by Maria A. Carlson

Since Specialization
Citations

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

Fields of papers citing papers by Maria A. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Carlson. 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 Maria A. Carlson. The network helps show where Maria A. Carlson may publish in the future.

Co-authorship network of co-authors of Maria A. Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of Maria A. Carlson. A scholar is included among the top collaborators of Maria A. Carlson 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 Maria A. Carlson. Maria A. Carlson 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.
Carlson, Curt A., et al.. (2024). Effects of internal versus external distinctive facial features on eyewitness identification. Applied Cognitive Psychology. 38(1). 1 indexed citations
3.
Carlson, Curt A., et al.. (2023). Was he the perpetrator or a bystander? Testing theories ofunconscious transference for eyewitness identification.. Journal of Applied Research in Memory and Cognition. 13(4). 543–555. 5 indexed citations
4.
Carlson, Maria A., et al.. (2022). The sleepy eyewitness: Self-reported sleep predicts eyewitnessmemory.. Journal of Applied Research in Memory and Cognition. 12(4). 513–530. 5 indexed citations
5.
6.
Carlson, Curt A., et al.. (2020). “All I remember is the black eye”: A distinctive facial feature harms eyewitness identification. Applied Cognitive Psychology. 34(6). 1379–1393. 8 indexed citations
7.
Carlson, Curt A., et al.. (2020). The number of fillers may not matter as long as they all match the description: The effect of simultaneous lineup size on eyewitness identification. Applied Cognitive Psychology. 34(3). 590–604. 13 indexed citations
8.
Carlson, Curt A., et al.. (2020). The effect of viewing distance on empirical discriminability and the confidence–accuracy relationship for eyewitness identification. Applied Cognitive Psychology. 34(5). 1047–1060. 20 indexed citations
9.
Carlson, Curt A., et al.. (2019). Lineup fairness: propitious heterogeneity and the diagnostic feature-detection hypothesis. Cognitive Research Principles and Implications. 4(1). 20–20. 19 indexed citations
10.
Carlson, Curt A., et al.. (2019). A method for increasing empirical discriminability and eliminating top‐row preference in photo arrays. Applied Cognitive Psychology. 33(6). 1091–1102. 11 indexed citations
11.
Carlson, Curt A., et al.. (2019). Asking an eyewitness to predict their later lineup performance could harm the confidence–accuracy relationship. Applied Cognitive Psychology. 34(1). 119–131. 3 indexed citations
12.
Carlson, Curt A., et al.. (2017). An investigation of the weapon focus effect and the confidence–accuracy relationship for eyewitness identification.. Journal of Applied Research in Memory and Cognition. 6(1). 82–92. 8 indexed citations
13.
Carlson, Curt A., et al.. (2016). The Influence of Perpetrator Exposure Time and Weapon Presence/Timing on Eyewitness Confidence and Accuracy. Applied Cognitive Psychology. 30(6). 898–910. 16 indexed citations
14.
Carlson, Curt A., et al.. (2016). An Investigation of the Weapon Focus Effect and the Confidence–Accuracy Relationship for Eyewitness Identification. Journal of Applied Research in Memory and Cognition. 6(1). 82–92. 32 indexed citations
15.
Carlson, Curt A., et al.. (2016). The Weapon Focus Effect: Testing an Extension of the Unusualness Hypothesis. Digital Commons @ Texas A&M University-San Antonio (Texas A&M University-San Antonio). 4 indexed citations
16.
Carlson, Maria A., et al.. (2015). Impact of Status and Meme Content on the Spread of Memes in Virtual Communities. Human Technology. 11(2). 148–164. 6 indexed citations
17.
Hayes, DeMarquis, et al.. (2015). Relation Between Parental Divorce and Adjustment in College Students. Journal of Divorce & Remarriage. 56(4). 336–345. 6 indexed citations
18.
Carlson, Curt A. & Maria A. Carlson. (2014). An evaluation of lineup presentation, weapon presence, and a distinctive feature using ROC analysis.. Journal of Applied Research in Memory and Cognition. 3(2). 45–53. 57 indexed citations
19.
Carlson, Curt A., et al.. (2014). Individual differences predict eyewitness identification performance. Personality and Individual Differences. 60. 36–40. 31 indexed citations
20.
Carlson, Curt A., Scott D. Gronlund, Dawn R. Weatherford, & Maria A. Carlson. (2012). Processing Differences between Feature‐Based Facial Composites and Photos of Real Faces. Applied Cognitive Psychology. 26(4). 525–540. 17 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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