Anna Brown

2.9k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Anna Brown is a scholar working on Clinical Psychology, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, Anna Brown has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Clinical Psychology, 12 papers in Management Science and Operations Research and 11 papers in Social Psychology. Recurrent topics in Anna Brown's work include Psychometric Methodologies and Testing (12 papers), Personality Traits and Psychology (10 papers) and Dementia and Cognitive Impairment Research (6 papers). Anna Brown is often cited by papers focused on Psychometric Methodologies and Testing (12 papers), Personality Traits and Psychology (10 papers) and Dementia and Cognitive Impairment Research (6 papers). Anna Brown collaborates with scholars based in United Kingdom, United States and Spain. Anna Brown's co-authors include Alberto Maydeu‐Olivares, Nigel Guenole, Jessica Deighton, Eunike Wetzel, Sube Banerjee, Stephanie Daley, Gill Livingston, Tom Page, Joanna Murray and Miranda Wolpert and has published in prestigious journals such as PLoS ONE, Journal of Applied Psychology and Psychological Science.

In The Last Decade

Anna Brown

47 papers receiving 1.8k citations

Hit Papers

Factors associated with the quality of life of family car... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Brown United Kingdom 24 728 463 386 354 296 48 1.8k
Juan Ramón Barrada Spain 25 1.2k 1.6× 327 0.7× 235 0.6× 313 0.9× 326 1.1× 86 2.0k
Wilco H. M. Emons Netherlands 23 511 0.7× 184 0.4× 332 0.9× 317 0.9× 373 1.3× 65 1.9k
Tammi Vacha‐Haase United States 22 602 0.8× 331 0.7× 376 1.0× 696 2.0× 287 1.0× 50 2.5k
Fridtjof W. Nußbeck Germany 29 895 1.2× 504 1.1× 203 0.5× 1.1k 3.0× 512 1.7× 87 2.4k
David Gallardo‐Pujol Spain 18 747 1.0× 258 0.6× 130 0.3× 446 1.3× 284 1.0× 48 1.7k
Li‐Jen Weng Taiwan 18 368 0.5× 603 1.3× 144 0.4× 289 0.8× 386 1.3× 36 1.9k
Aline G. Sayer United States 28 868 1.2× 852 1.8× 156 0.4× 785 2.2× 377 1.3× 46 2.9k
Emily Johnson United States 8 595 0.8× 265 0.6× 134 0.3× 474 1.3× 367 1.2× 13 1.5k
Tanja Lischetzke Germany 26 598 0.8× 257 0.6× 169 0.4× 708 2.0× 778 2.6× 56 2.0k
William M. van der Veld Netherlands 13 417 0.6× 237 0.5× 116 0.3× 328 0.9× 202 0.7× 30 1.2k

Countries citing papers authored by Anna Brown

Since Specialization
Citations

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

Fields of papers citing papers by Anna Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Brown. A scholar is included among the top collaborators of Anna Brown 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 Anna Brown. Anna Brown 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.
Guenole, Nigel, et al.. (2022). Can Faking Be Measured With Dedicated Validity Scales? Within-Subject Trifactor Mixture Modeling Applied to BIDR Responses. Assessment. 30(5). 1523–1542. 1 indexed citations
2.
Brown, Anna & Ulf Böckenholt. (2022). Intermittent faking of personality profiles in high-stakes assessments: A grade of membership analysis.. Psychological Methods. 27(5). 895–916. 10 indexed citations
4.
Brown, Anna, Tom Page, Stephanie Daley, et al.. (2019). Measuring the quality of life of family carers of people with dementia: development and validation of C-DEMQOL. Quality of Life Research. 28(8). 2299–2310. 31 indexed citations
5.
Page, Tom, Nicolas Farina, Anna Brown, et al.. (2017). Instruments measuring the disease-specific quality of life of family carers of people with neurodegenerative diseases: a systematic review. BMJ Open. 7(3). e013611–e013611. 28 indexed citations
6.
Farina, Nicolas, Tom Page, Stephanie Daley, et al.. (2017). Factors associated with the quality of life of family carers of people with dementia: A systematic review. Alzheimer s & Dementia. 13(5). 572–581. 240 indexed citations breakdown →
7.
Brown, Anna, et al.. (2016). Development and initial outcomes of an upper gastrointestinal multidisciplinary clinic.. PubMed. 129(1437). 48–54. 4 indexed citations
8.
Chua, Kia‐Chong, Anna Brown, Ryan Little, et al.. (2016). Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores. Quality of Life Research. 25(12). 3107–3118. 24 indexed citations
9.
Brown, Anna. (2016). Thurstonian Scaling of Compositional Questionnaire Data. Multivariate Behavioral Research. 51(2-3). 345–356. 10 indexed citations
10.
Dam, Nicholas T. Van, Anna Brown, Tom B. Mole, et al.. (2015). Development and Validation of the Behavioral Tendencies Questionnaire. PLoS ONE. 10(11). e0140867–e0140867. 4 indexed citations
11.
Guenole, Nigel & Anna Brown. (2014). The consequences of ignoring measurement invariance for path coefficients in structural equation models. Frontiers in Psychology. 5. 980–980. 103 indexed citations
12.
Brown, Anna. (2014). Item Response Models for Forced-Choice Questionnaires: A Common Framework. Psychometrika. 81(1). 135–160. 73 indexed citations
13.
Stoeber, Joachim, Osamu Kobori, & Anna Brown. (2014). Examining Mutual Suppression Effects in the Assessment of Perfectionism Cognitions. Assessment. 21(6). 647–660. 30 indexed citations
14.
Brown, Anna & Alberto Maydeu‐Olivares. (2012). Fitting a Thurstonian IRT model to forced-choice data using Mplus. Behavior Research Methods. 44(4). 1135–1147. 77 indexed citations
15.
Brodbeck, Jeannette, et al.. (2012). Comparing growth trajectories of risk behaviors from late adolescence through young adulthood: An accelerated design.. Developmental Psychology. 49(9). 1732–1738. 30 indexed citations
16.
Brown, Anna, Tamsin Ford, Jessica Deighton, & Miranda Wolpert. (2012). Satisfaction in Child and Adolescent Mental Health Services: Translating Users’ Feedback into Measurement. Administration and Policy in Mental Health and Mental Health Services Research. 41(4). 434–446. 80 indexed citations
17.
Brown, Anna & Alberto Maydeu‐Olivares. (2012). How IRT can solve problems of ipsative data in forced-choice questionnaires.. Psychological Methods. 18(1). 36–52. 131 indexed citations
18.
Maydeu‐Olivares, Alberto & Anna Brown. (2010). Item Response Modeling of Paired Comparison and Ranking Data. Multivariate Behavioral Research. 45(6). 935–974. 64 indexed citations
19.
Lievens, Filip, Juan I. Sánchez, Dave Bartram, & Anna Brown. (2010). Lack of consensus among competency ratings of the same occupation: Noise or substance?. Journal of Applied Psychology. 95(3). 562–571. 22 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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