Pei Chun Shih

1.8k total citations
20 papers, 1.4k citations indexed

About

Pei Chun Shih is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Pei Chun Shih has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Experimental and Cognitive Psychology, 8 papers in Cognitive Neuroscience and 8 papers in Artificial Intelligence. Recurrent topics in Pei Chun Shih's work include Cognitive Abilities and Testing (14 papers), Cognitive Science and Mapping (8 papers) and Neural and Behavioral Psychology Studies (6 papers). Pei Chun Shih is often cited by papers focused on Cognitive Abilities and Testing (14 papers), Cognitive Science and Mapping (8 papers) and Neural and Behavioral Psychology Studies (6 papers). Pei Chun Shih collaborates with scholars based in Spain, Brazil and United States. Pei Chun Shih's co-authors include Roberto Colom, Francisco J. Abad, Ma Ángeles Quiroga, Irene Rebollo, Carmen Flores-Mendoza, José Santacreu, Sergio Escorial, Jesús Privado, Richard J. Haier and Agustín Martínez‐Molina and has published in prestigious journals such as Personality and Individual Differences, Memory & Cognition and Acta Psychologica.

In The Last Decade

Pei Chun Shih

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Chun Shih Spain 17 855 606 348 263 119 20 1.4k
Tabitha W. Payne United States 7 804 0.9× 848 1.4× 471 1.4× 203 0.8× 170 1.4× 7 1.6k
Peter Shell United States 5 728 0.9× 419 0.7× 401 1.2× 346 1.3× 119 1.0× 8 1.3k
V. Wynn United Kingdom 12 736 0.9× 703 1.2× 438 1.3× 164 0.6× 142 1.2× 14 1.4k
Tyler L. Harrison United States 16 1.0k 1.2× 923 1.5× 399 1.1× 200 0.8× 130 1.1× 18 1.6k
Kenny L. Hicks United States 11 1.0k 1.2× 754 1.2× 414 1.2× 175 0.7× 110 0.9× 11 1.5k
Josef C. Schrock United States 5 885 1.0× 1.2k 2.0× 448 1.3× 234 0.9× 257 2.2× 5 2.0k
Marilyn L. Turner United States 7 813 1.0× 1.1k 1.8× 654 1.9× 203 0.8× 260 2.2× 11 1.9k
Evie Vergauwe Switzerland 21 864 1.0× 1.6k 2.6× 376 1.1× 171 0.7× 219 1.8× 56 2.0k
Sumiko Sasanuma Japan 22 503 0.6× 1.1k 1.9× 804 2.3× 115 0.4× 120 1.0× 54 1.6k
Arnaud Szmalec Belgium 23 398 0.5× 1.3k 2.1× 895 2.6× 96 0.4× 129 1.1× 71 1.8k

Countries citing papers authored by Pei Chun Shih

Since Specialization
Citations

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

Fields of papers citing papers by Pei Chun Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei Chun Shih. 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 Pei Chun Shih. The network helps show where Pei Chun Shih may publish in the future.

Co-authorship network of co-authors of Pei Chun Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Chun Shih. A scholar is included among the top collaborators of Pei Chun Shih 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 Pei Chun Shih. Pei Chun Shih 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.
Colom, Roberto, Luis F. Garcı́a, Pei Chun Shih, & Francisco J. Abad. (2023). Generational intelligence tests score changes in Spain: Are we asking the right question?. Intelligence. 99. 101772–101772. 5 indexed citations
2.
Colom, Roberto, Jason L. Stein, Priya Rajagopalan, et al.. (2013). Hippocampal structure and human cognition: Key role of spatial processing and evidence supporting the efficiency hypothesis in females. Intelligence. 41(2). 129–140. 34 indexed citations
3.
Colom, Roberto, Francisco J. Román, Francisco J. Abad, et al.. (2013). Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing. Intelligence. 41(5). 712–727. 89 indexed citations
4.
Martínez, Kenia, Miguel Burgaleta, Francisco J. Román, et al.. (2011). Can fluid intelligence be reduced to ‘simple’ short-term storage?. Intelligence. 39(6). 473–480. 83 indexed citations
5.
Shih, Pei Chun, et al.. (2011). Effect of silymarin on curcumin-induced mortality in zebrafish (Danio rerio) embryos and larvae.. PubMed. 49(7). 491–7. 16 indexed citations
6.
Colom, Roberto, Agustín Martínez‐Molina, Pei Chun Shih, & José Santacreu. (2010). Intelligence, working memory, and multitasking performance. Intelligence. 38(6). 543–551. 89 indexed citations
7.
Colom, Roberto, Ma Ángeles Quiroga, Pei Chun Shih, et al.. (2010). Improvement in working memory is not related to increased intelligence scores. Intelligence. 38(5). 497–505. 45 indexed citations
8.
Colom, Roberto, Francisco J. Abad, Ma Ángeles Quiroga, Pei Chun Shih, & Carmen Flores-Mendoza. (2008). Working memory and intelligence are highly related constructs, but why?. Intelligence. 36(6). 584–606. 253 indexed citations
9.
Colom, Roberto, Richard J. Haier, Kevin Head, et al.. (2008). Gray matter correlates of fluid, crystallized, and spatial intelligence: Testing the P-FIT model. Intelligence. 37(2). 124–135. 148 indexed citations
10.
Quiroga, Ma Ángeles, José Manuel Hernández, Víctor J. Rubio, Pei Chun Shih, & José Santacreu. (2007). Influence of Impulsivity-Reflexivity when Testing Dynamic Spatial Ability: Sex and g Differences. The Spanish Journal of Psychology. 10(2). 294–302. 10 indexed citations
11.
Contreras, Marı́a José, et al.. (2007). Solution strategies as possible explanations of individual and sex differences in a dynamic spatial task. Acta Psychologica. 128(1). 1–14. 28 indexed citations
12.
Colom, Roberto, Sergio Escorial, Pei Chun Shih, & Jesús Privado. (2007). Fluid intelligence, memory span, and temperament difficulties predict academic performance of young adolescents. Personality and Individual Differences. 42(8). 1503–1514. 99 indexed citations
13.
Colom, Roberto, Irene Rebollo, Francisco J. Abad, & Pei Chun Shih. (2006). Complex span tasks, simple span tasks, and cognitive abilities: A reanalysis of key studies. Memory & Cognition. 34(1). 158–171. 132 indexed citations
14.
Colom, Roberto, Pei Chun Shih, Carmen Flores-Mendoza, & Ma Ángeles Quiroga. (2006). The real relationship between short-term memory and working memory. Memory. 14(7). 804–813. 62 indexed citations
15.
Colom, Roberto, Víctor J. Rubio, Pei Chun Shih, & José Santacreu. (2006). Fluid intelligence, working memory and executive functioning.. PubMed. 18(4). 816–21. 27 indexed citations
16.
Colom, Roberto, Francisco J. Abad, Irene Rebollo, & Pei Chun Shih. (2005). Memory span and general intelligence: A latent-variable approach. Intelligence. 33(6). 623–642. 147 indexed citations
17.
Colom, Roberto & Pei Chun Shih. (2004). Is working memory fractionated onto different components of intelligence? A reply to Mackintosh and Bennett (2003). Intelligence. 32(5). 431–444. 26 indexed citations
18.
Colom, Roberto, Marı́a José Contreras, Pei Chun Shih, & José Santacreu. (2003). The Assessment of Spatial Ability with a Single Computerized Test. European Journal of Psychological Assessment. 19(2). 92–100. 33 indexed citations
19.
Contreras, Marı́a José, et al.. (2001). Dynamic spatial performance: sex and educational differences. Personality and Individual Differences. 30(1). 117–126. 27 indexed citations
20.

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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