Ella J. Squires

538 total citations
9 papers, 403 citations indexed

About

Ella J. Squires is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Ella J. Squires has authored 9 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Social Psychology and 2 papers in Developmental and Educational Psychology. Recurrent topics in Ella J. Squires's work include Memory Processes and Influences (6 papers), Neurobiology of Language and Bilingualism (4 papers) and Deception detection and forensic psychology (3 papers). Ella J. Squires is often cited by papers focused on Memory Processes and Influences (6 papers), Neurobiology of Language and Bilingualism (4 papers) and Deception detection and forensic psychology (3 papers). Ella J. Squires collaborates with scholars based in United Kingdom and Canada. Ella J. Squires's co-authors include Alan J. Parkin, Nicola M. Hunkin, Jamie Ward, Julia M. Townshend, Frances Aldrich, Claire Bindschaedler, Alice M. Clark, Mark Sadler, Donald T. Stuss and Barbara A. Wilson and has published in prestigious journals such as Neuropsychologia, Epilepsia and Psychonomic Bulletin & Review.

In The Last Decade

Ella J. Squires

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ella J. Squires United Kingdom 8 320 134 76 65 44 9 403
Ronald L. Bloom United States 12 354 1.1× 49 0.4× 102 1.3× 133 2.0× 79 1.8× 21 456
Penelope S. Myers United States 11 338 1.1× 39 0.3× 114 1.5× 89 1.4× 44 1.0× 22 394
Holly Robson United Kingdom 13 385 1.2× 73 0.5× 148 1.9× 51 0.8× 59 1.3× 36 442
D.A. Nathaniel-James United Kingdom 9 258 0.8× 175 1.3× 42 0.6× 65 1.0× 38 0.9× 13 428
I Voinescu Romania 5 241 0.8× 70 0.5× 137 1.8× 35 0.5× 20 0.5× 18 352
Carl Ludy United States 5 251 0.8× 37 0.3× 124 1.6× 64 1.0× 59 1.3× 7 329
Sharon M. Antonucci United States 9 300 0.9× 73 0.5× 129 1.7× 44 0.7× 59 1.3× 15 346
Karine Pinon France 6 187 0.6× 87 0.6× 73 1.0× 60 0.9× 22 0.5× 9 310
Kelly Jones United States 8 277 0.9× 75 0.6× 160 2.1× 59 0.9× 46 1.0× 13 366
Tepanta Fossett United States 12 349 1.1× 70 0.5× 194 2.6× 63 1.0× 31 0.7× 23 463

Countries citing papers authored by Ella J. Squires

Since Specialization
Citations

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

Fields of papers citing papers by Ella J. Squires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ella J. Squires. 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 Ella J. Squires. The network helps show where Ella J. Squires may publish in the future.

Co-authorship network of co-authors of Ella J. Squires

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

All Works

9 of 9 papers shown
1.
Parkin, Alan J., et al.. (2001). Data-driven recognition memory: A new technique and some data on age differences. Psychonomic Bulletin & Review. 8(4). 812–819. 28 indexed citations
2.
McGlone, Jeannette, Sandra E. Black, Jennifer Mary Evans, et al.. (1999). Criterion‐Based Validity of an Intracarotid Amobarbital Recognition‐Memory Protocol. Epilepsia. 40(4). 430–438. 1 indexed citations
3.
Parkin, Alan J., et al.. (1999). RECOGNITION FOLLOWING FRONTAL LOBE DAMAGE: THE ROLE OF ENCODING FACTORS. Cognitive Neuropsychology. 16(3-5). 243–265. 40 indexed citations
4.
Ward, Jamie, et al.. (1999). FALSE RECOGNITION OF UNFAMILIAR PEOPLE: "SEEING FILM STARS EVERYWHERE". Cognitive Neuropsychology. 16(3-5). 293–315. 28 indexed citations
5.
Parkin, Alan J., Nicola M. Hunkin, & Ella J. Squires. (1998). UNLEARNING JOHN MAJOR: THE USE OF ERRORLESS LEARNING IN THE REACQUISITION OF PROPER NAMES FOLLOWING HERPES SIMPLEX ENCEPHALITIS. Cognitive Neuropsychology. 15(4). 361–375. 34 indexed citations
6.
Hunkin, Nicola M., et al.. (1998). Are the benefits of errorless learning dependent on implicit memory?. Neuropsychologia. 36(1). 25–36. 107 indexed citations
7.
Hunkin, Nicola M., Ella J. Squires, Frances Aldrich, & Alan J. Parkin. (1998). Errorless Learning and the Acquisition of Word Processing Skills. Neuropsychological Rehabilitation. 8(4). 433–449. 35 indexed citations
8.
Squires, Ella J.. (1997). Errorless learning of novel associations in amnesia. Neuropsychologia. 35(8). 1103–1111. 89 indexed citations
9.
Squires, Ella J.. (1996). M emory Notebook Training in a Case of Severe Amnesia: Generalising from Paired Associate Learning to Real Life. Neuropsychological Rehabilitation. 6(1). 55–66. 41 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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