Tabitha W. Payne

2.3k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Tabitha W. Payne is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Tabitha W. Payne has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Tabitha W. Payne's work include Cognitive Abilities and Testing (2 papers), Reading and Literacy Development (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Tabitha W. Payne is often cited by papers focused on Cognitive Abilities and Testing (2 papers), Reading and Literacy Development (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Tabitha W. Payne collaborates with scholars based in United States and United Kingdom. Tabitha W. Payne's co-authors include Randall W. Engle, Michael J. Kane, David Z. Hambrick, Stephen W. Tuholski, Oliver Wilhelm, Josef C. Schrock, Richard P. Heitz, Brianna M. Sullivan, M. A. H. Dempster and Zornitsa Kalibatseva and has published in prestigious journals such as American Journal of Psychiatry, Journal of Experimental Psychology General and Personality and Individual Differences.

In The Last Decade

Tabitha W. Payne

7 papers receiving 1.5k citations

Hit Papers

The Generality of Working Memory Capacity: A Latent-Varia... 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tabitha W. Payne United States 7 848 804 471 203 170 7 1.6k
Heinz‐Martin Süß Germany 16 1.0k 1.2× 1.1k 1.4× 476 1.0× 317 1.6× 299 1.8× 35 2.0k
Martin Arendasy Austria 21 593 0.7× 815 1.0× 240 0.5× 137 0.7× 346 2.0× 66 1.8k
Peter Shell United States 5 419 0.5× 728 0.9× 401 0.9× 346 1.7× 119 0.7× 8 1.3k
Pei Chun Shih Spain 17 606 0.7× 855 1.1× 348 0.7× 263 1.3× 119 0.7× 20 1.4k
Anjali Thapar United States 19 1.6k 1.9× 482 0.6× 340 0.7× 190 0.9× 312 1.8× 25 2.0k
Roger Ratcliff United States 6 1.4k 1.7× 806 1.0× 490 1.0× 119 0.6× 487 2.9× 6 2.3k
Neil Morris United Kingdom 16 927 1.1× 574 0.7× 335 0.7× 122 0.6× 207 1.2× 32 1.7k
V. Wynn United Kingdom 12 703 0.8× 736 0.9× 438 0.9× 164 0.8× 142 0.8× 14 1.4k
Marilyn L. Turner United States 7 1.1k 1.3× 813 1.0× 654 1.4× 203 1.0× 260 1.5× 11 1.9k
Tyler L. Harrison United States 16 923 1.1× 1.0k 1.3× 399 0.8× 200 1.0× 130 0.8× 18 1.6k

Countries citing papers authored by Tabitha W. Payne

Since Specialization
Citations

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

Fields of papers citing papers by Tabitha W. Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tabitha W. Payne. 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 Tabitha W. Payne. The network helps show where Tabitha W. Payne may publish in the future.

Co-authorship network of co-authors of Tabitha W. Payne

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

All Works

7 of 7 papers shown
1.
Payne, Tabitha W., et al.. (2014). The Relationship between Negative Affect and Reported Cognitive Failures. Depression Research and Treatment. 2014. 1–7. 44 indexed citations
2.
Payne, Tabitha W. & Richard Lynn. (2010). Sex differences in second language comprehension. Personality and Individual Differences. 50(3). 434–436. 20 indexed citations
3.
Payne, Tabitha W., Zornitsa Kalibatseva, & Melissa K. Jungers. (2008). Does domain experience compensate for working memory capacity in second language reading comprehension?. Learning and Individual Differences. 19(1). 119–123. 32 indexed citations
4.
Sullivan, Brianna M. & Tabitha W. Payne. (2007). Affective Disorders and Cognitive Failures: A Comparison of Seasonal and Nonseasonal Depression. American Journal of Psychiatry. 164(11). 1663–1667. 62 indexed citations
5.
Heitz, Richard P., Josef C. Schrock, Tabitha W. Payne, & Randall W. Engle. (2007). Effects of incentive on working memory capacity: Behavioral and pupillometric data. Psychophysiology. 45(1). 119–129. 135 indexed citations
6.
Kane, Michael J., David Z. Hambrick, Stephen W. Tuholski, et al.. (2004). The Generality of Working Memory Capacity: A Latent-Variable Approach to Verbal and Visuospatial Memory Span and Reasoning.. Journal of Experimental Psychology General. 133(2). 189–217. 1229 indexed citations breakdown →
7.
Dempster, M. A. H., et al.. (2001). Computational learning techniques for intraday FX trading using popular technical indicators. IEEE Transactions on Neural Networks. 12(4). 744–754. 96 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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