Nina Thigpen

876 total citations
15 papers, 245 citations indexed

About

Nina Thigpen is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Nina Thigpen has authored 15 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Infectious Diseases. Recurrent topics in Nina Thigpen's work include Neural and Behavioral Psychology Studies (8 papers), Neural dynamics and brain function (7 papers) and Visual perception and processing mechanisms (6 papers). Nina Thigpen is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Neural dynamics and brain function (7 papers) and Visual perception and processing mechanisms (6 papers). Nina Thigpen collaborates with scholars based in United States, Switzerland and Brazil. Nina Thigpen's co-authors include Andreas Keil, Emily S. Kappenman, Margaret M. Bradley, David R. Herring, Nathan M. Petro, Alexandra M. Freund, Jessica Oschwald, Klaus Oberauer, Yuelu Liu and José C. Prı́ncipe and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Psychological Science.

In The Last Decade

Nina Thigpen

14 papers receiving 242 citations

Peers

Nina Thigpen
Bob Bramson Netherlands
Nathan M. Petro United States
Zhiheng Zhou United States
Eric Rawls United States
Nickolaos Fragopanagos United Kingdom
Máté Gyurkovics United Kingdom
Maxine T. Sherman United Kingdom
Bob Bramson Netherlands
Nina Thigpen
Citations per year, relative to Nina Thigpen Nina Thigpen (= 1×) peers Bob Bramson

Countries citing papers authored by Nina Thigpen

Since Specialization
Citations

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

Fields of papers citing papers by Nina Thigpen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Thigpen

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

All Works

15 of 15 papers shown
2.
Thigpen, Nina, et al.. (2024). Oura Ring as a Tool for Ovulation Detection: Validation Analysis. Journal of Medical Internet Research. 27. e60667–e60667. 4 indexed citations
3.
Pho, Gerald N., et al.. (2023). Feasibility of Measuring Physiological Responses to Breakthrough Infections and COVID-19 Vaccine Using a Wearable Ring Sensor. SHILAP Revista de lepidopterología. 7(1). 1–6. 3 indexed citations
4.
Campagnoli, Rafaela R., et al.. (2021). Oscillatory brain activity links experience to expectancy during associative learning. Psychophysiology. 59(5). e13946–e13946. 4 indexed citations
5.
Thigpen, Nina, et al.. (2021). Unsupervised foveal vision neural architecture with top-down attention. Neural Networks. 141. 145–159. 4 indexed citations
6.
Liu, Yuelu, et al.. (2020). Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex. Social Cognitive and Affective Neuroscience. 15(9). 950–964. 13 indexed citations
7.
Thigpen, Nina, et al.. (2019). Attention to a threat‐related feature does not interfere with concurrent attentive feature selection. Psychophysiology. 56(6). e13332–e13332. 11 indexed citations
8.
Petro, Nathan M., et al.. (2019). Pre-target alpha power predicts the speed of cued target discrimination. NeuroImage. 189. 878–885. 7 indexed citations
9.
Thigpen, Nina, Nathan M. Petro, Jessica Oschwald, Klaus Oberauer, & Andreas Keil. (2019). Selection of Visual Objects in Perception and Working Memory One at a Time. Psychological Science. 30(9). 1259–1272. 16 indexed citations
10.
Thigpen, Nina, Margaret M. Bradley, & Andreas Keil. (2018). Assessing the relationship between pupil diameter and visuocortical activity. Journal of Vision. 18(6). 7–7. 17 indexed citations
11.
Thigpen, Nina, et al.. (2018). What does the dot‐probe task measure? A reverse correlation analysis of electrocortical activity. Psychophysiology. 55(6). e13058–e13058. 28 indexed citations
12.
Thigpen, Nina, et al.. (2017). The malleability of emotional perception: Short-term plasticity in retinotopic neurons accompanies the formation of perceptual biases to threat.. Journal of Experimental Psychology General. 146(4). 464–471. 24 indexed citations
13.
Santana, Eder, et al.. (2016). Predicting visual attention using gamma kernels. 10. 1606–1610. 6 indexed citations
14.
Thigpen, Nina, Emily S. Kappenman, & Andreas Keil. (2016). Assessing the internal consistency of the event‐related potential: An example analysis. Psychophysiology. 54(1). 123–138. 99 indexed citations
15.
Thigpen, Nina, Andreas Keil, & Alexandra M. Freund. (2016). Responding to emotional scenes: effects of response outcome and picture repetition on reaction times and the late positive potential. Cognition & Emotion. 32(1). 24–36. 9 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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