Ida Marais

1.2k total citations
34 papers, 702 citations indexed

About

Ida Marais is a scholar working on Clinical Psychology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ida Marais has authored 34 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 7 papers in Social Psychology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Ida Marais's work include Advanced Statistical Modeling Techniques (6 papers), Psychometric Methodologies and Testing (6 papers) and Psychological Well-being and Life Satisfaction (4 papers). Ida Marais is often cited by papers focused on Advanced Statistical Modeling Techniques (6 papers), Psychometric Methodologies and Testing (6 papers) and Psychological Well-being and Life Satisfaction (4 papers). Ida Marais collaborates with scholars based in Australia, United States and United Kingdom. Ida Marais's co-authors include David Andrich, Stephen Humphry, Myra F. Taylor, Michael Ireland, Christopher Lee, Helen Correia, Stephen Houghton, Elaine Sharplin, David King and Mark Hecimovich and has published in prestigious journals such as Personality and Individual Differences, Journal of Affective Disorders and International Journal of Environmental Research and Public Health.

In The Last Decade

Ida Marais

31 papers receiving 680 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ida Marais 148 127 105 100 99 34 702
Ying Jin 180 1.2× 87 0.7× 77 0.7× 162 1.6× 125 1.3× 26 784
Russell W. Jones 106 0.7× 162 1.3× 147 1.4× 91 0.9× 45 0.5× 14 639
Mauricio Garnier‐Villarreal 273 1.8× 73 0.6× 47 0.4× 130 1.3× 110 1.1× 71 879
Gregor Sočan 179 1.2× 113 0.9× 62 0.6× 130 1.3× 67 0.7× 42 610
Kevin M. Kieffer 177 1.2× 69 0.5× 62 0.6× 105 1.1× 56 0.6× 20 535
Michele F. Zimowski 204 1.4× 203 1.6× 134 1.3× 155 1.6× 67 0.7× 14 996
Cornelia Zeisser 302 2.0× 138 1.1× 56 0.5× 209 2.1× 180 1.8× 10 1.0k
Ítalo Trizano-Hermosilla 236 1.6× 195 1.5× 50 0.5× 218 2.2× 107 1.1× 18 767
Wei‐Ming Luh 118 0.8× 61 0.5× 66 0.6× 163 1.6× 197 2.0× 47 808
Brian T Keller 106 0.7× 78 0.6× 60 0.6× 93 0.9× 48 0.5× 19 551

Countries citing papers authored by Ida Marais

Since Specialization
Citations

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

Fields of papers citing papers by Ida Marais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Marais

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Marais. A scholar is included among the top collaborators of Ida Marais 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 Ida Marais. Ida Marais 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.
Marais, Ida, et al.. (2023). The YSQ-R: Predictive Validity and Comparison to the Short and Long Form Young Schema Questionnaire. International Journal of Environmental Research and Public Health. 20(3). 1778–1778. 8 indexed citations
2.
Andrich, David, et al.. (2023). Rasch Meta-Metres of Growth for Some Intelligence and Attainment Tests. UWA Profiles and Research Repository (University of Western Australia).
3.
Houghton, Stephen, et al.. (2022). Screening for depressive symptoms in adolescence: A Rasch analysis of the short-form childhood depression inventory-2 (CDI 2:SR[S]). Journal of Affective Disorders. 311. 189–197. 8 indexed citations
4.
Houghton, Stephen, et al.. (2020). Loneliness in adolescence: a Rasch analysis of the Perth A-loneness scale. Quality of Life Research. 30(2). 589–601. 3 indexed citations
5.
Oakley, Grace, et al.. (2019). A legibility scale for early primary handwriting: Authentic task and cognitive load influences. Issues in educational research. 29(2). 537–561. 2 indexed citations
6.
Andrich, David & Ida Marais. (2019). A Course in Rasch Measurement Theory. 156 indexed citations
7.
Andrich, David & Ida Marais. (2019). A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences. UWA Profiles and Research Repository (University of Western Australia). 54 indexed citations
8.
Marais, Ida, et al.. (2018). The Effects of Item Placement in the Young Schema Questionnaire.. PubMed. 18(4). 370–382. 6 indexed citations
9.
Venville, Grady, et al.. (2016). The relationship between Kenyan Sign language and English literacy. Issues in educational research. 26(2). 165–181. 1 indexed citations
10.
Hecimovich, Mark, David King, & Ida Marais. (2016). Player and parent concussion knowledge and awareness in youth Australian Rules Football. UWA Profiles and Research Repository (University of Western Australia). 19. 1–17. 10 indexed citations
11.
Sharplin, Elaine, et al.. (2016). Making the grade: describing inherent requirements for the initial teacher education practicum. Asia-Pacific Journal of Teacher Education. 44(3). 224–241. 11 indexed citations
12.
Marais, Ida, et al.. (2015). Differences Between Mothers’ and Fathers’ Ratings of Family Functioning With the Family Assessment Device. Measurement and Evaluation in Counseling and Development. 48(3). 226–237. 7 indexed citations
13.
Andrich, David, Ida Marais, & Stephen Humphry. (2015). Controlling Guessing Bias in the Dichotomous Rasch Model Applied to a Large-Scale, Vertically Scaled Testing Program. Educational and Psychological Measurement. 76(3). 412–435. 7 indexed citations
14.
Houghton, Stephen, Lisa Wood, Ida Marais, et al.. (2015). Positive Mental Well-Being. Assessment. 24(3). 371–386. 12 indexed citations
15.
Andrich, David & Ida Marais. (2014). Person Proficiency Estimates in the Dichotomous Rasch Model When Random Guessing Is Removed From Difficulty Estimates of Multiple Choice Items. Applied Psychological Measurement. 38(6). 432–449. 10 indexed citations
16.
Andrich, David, Stephen Humphry, & Ida Marais. (2012). Quantifying Local, Response Dependence Between Two Polytomous Items Using the Rasch Model. Applied Psychological Measurement. 36(4). 309–324. 36 indexed citations
17.
Taylor, Myra F. & Ida Marais. (2011). Not in my back schoolyard: schools and skate-park builds in Western Australia. Australian Planner. 48(2). 84–95. 9 indexed citations
18.
Taylor, Myra F. & Ida Marais. (2009). Does Urban Art Deter Graffiti Proliferation? An evaluation of an Australian commissioned urban art project. UWA Profiles and Research Repository (University of Western Australia). 9. 57–70. 7 indexed citations
19.
Marais, Ida & David Andrich. (2008). Formalizing dimension and response violations of local independence in the unidimensional Rasch model.. PubMed. 9(3). 200–15. 160 indexed citations
20.
Marais, Ida, et al.. (2004). Alternative questions in the Physics Tertiary Entrance Examinations: Do they discriminate fairly between students?. UWA Profiles and Research Repository (University of Western Australia). 40(1). 15–20. 1 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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