Martha Carr

3.4k total citations
52 papers, 2.4k citations indexed

About

Martha Carr is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Martha Carr has authored 52 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Education, 22 papers in Developmental and Educational Psychology and 20 papers in Statistics and Probability. Recurrent topics in Martha Carr's work include Cognitive and developmental aspects of mathematical skills (20 papers), Education, Achievement, and Giftedness (15 papers) and Innovative Teaching and Learning Methods (15 papers). Martha Carr is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (20 papers), Education, Achievement, and Giftedness (15 papers) and Innovative Teaching and Learning Methods (15 papers). Martha Carr collaborates with scholars based in United States, Germany and Ireland. Martha Carr's co-authors include John G. Borkowski, Michael Pressley, Joyce M. Alexander, Gita Taasoobshirazi, Paula J. Schwanenflugel, Heather A. Davis, Beth Kurtz‐Costes, Elizabeth Rellinger, Scott E. Maxwell and Wolfgang Schneider and has published in prestigious journals such as SHILAP Revista de lepidopterología, Child Development and Journal of Educational Psychology.

In The Last Decade

Martha Carr

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martha Carr United States 29 1.2k 1.2k 737 604 291 52 2.4k
Colleen M. Ganley United States 22 1.2k 0.9× 528 0.4× 859 1.2× 845 1.4× 388 1.3× 42 2.2k
Elsbeth Stern Germany 30 1.5k 1.2× 1.2k 1.0× 661 0.9× 934 1.5× 297 1.0× 112 3.0k
Geoffrey B. Saxe United States 29 2.1k 1.7× 1.1k 0.9× 310 0.4× 1.0k 1.7× 281 1.0× 78 3.1k
Marina Vasilyeva United States 24 1.1k 0.9× 1.6k 1.3× 434 0.6× 730 1.2× 150 0.5× 60 2.8k
Lindsey E. Richland United States 21 978 0.8× 1.2k 1.0× 612 0.8× 484 0.8× 190 0.7× 72 2.2k
Joseph C. Campione United States 26 1.7k 1.4× 3.0k 2.4× 665 0.9× 390 0.6× 300 1.0× 58 4.1k
Richard De Lisi United States 16 538 0.4× 492 0.4× 375 0.5× 195 0.3× 178 0.6× 40 1.4k
Johannes E. H. Van Luit Netherlands 34 1.9k 1.5× 1.7k 1.4× 611 0.8× 2.1k 3.5× 99 0.3× 76 3.3k
Michael Shayer United Kingdom 30 1.6k 1.3× 1.3k 1.1× 671 0.9× 363 0.6× 145 0.5× 72 2.6k
Douglas B. McLeod United States 11 1.1k 0.9× 719 0.6× 508 0.7× 305 0.5× 240 0.8× 27 1.9k

Countries citing papers authored by Martha Carr

Since Specialization
Citations

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

Fields of papers citing papers by Martha Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martha Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Martha Carr. A scholar is included among the top collaborators of Martha Carr 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 Martha Carr. Martha Carr 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.
Atit, Kinnari, Jason Power, Norma Veurink, et al.. (2020). Examining the Role of Spatial Skills and Mathematics Motivation on Middle School Mathematics Achievement. PsyArXiv (OSF Preprints). 3 indexed citations
2.
Wang, Shiyu, et al.. (2020). The Development of a Multidimensional Diagnostic Assessment With Learning Tools to Improve 3-D Mental Rotation Skills. Frontiers in Psychology. 11. 305–305. 12 indexed citations
3.
Atit, Kinnari, Jason Power, Norma Veurink, et al.. (2020). Examining the role of spatial skills and mathematics motivation on middle school mathematics achievement. International Journal of STEM Education. 7(1). 36 indexed citations
4.
Carr, Martha, et al.. (2019). A longitudinal study of spatial skills and number sense development in elementary school children.. Journal of Educational Psychology. 112(1). 53–69. 7 indexed citations
5.
Bolin, Jocelyn H., et al.. (2018). Visuospatial Working Memory Mediates the Relationship Between Executive Functioning and Spatial Ability. Frontiers in Psychology. 9. 2302–2302. 15 indexed citations
6.
Carr, Martha, et al.. (2017). The Development of Spatial Skills in Elementary School Students. Child Development. 89(2). 446–460. 30 indexed citations
7.
Carr, Martha, et al.. (2016). Peers Influence Mathematics Strategy Use in Early Elementary School. SHILAP Revista de lepidopterología. 5(1). 27–55. 9 indexed citations
8.
Carr, Martha, et al.. (2011). Fluency, accuracy, and gender predict developmental trajectories of arithmetic strategies.. Journal of Educational Psychology. 103(3). 617–631. 77 indexed citations
9.
Carr, Martha, et al.. (2010). A LONGITUDINAL STUDY OF THE DEVELOPMENT OF MATHEMATICS STRATEGIES AND UNDERLYING COUNTING SCHEMES. International Journal of Science and Mathematics Education. 9(1). 1–24. 19 indexed citations
10.
Carr, Martha, et al.. (2003). Cognitive Development in Gifted Children: Toward a More Precise Understanding of Emerging Differences in Intelligence. Educational Psychology Review. 15(3). 215–246. 79 indexed citations
11.
Davis, Heather A. & Martha Carr. (2002). Gender differences in mathematics strategy use. Learning and Individual Differences. 13(1). 83–95. 29 indexed citations
12.
Carr, Martha, et al.. (1997). Young Adolescents' Motivational Processes and Use of Learning Strategies with Expository Text. 21(1). 57–81. 5 indexed citations
13.
Carr, Martha. (1996). Motivation in mathematics. Medical Entomology and Zoology. 38 indexed citations
14.
Carr, Martha & Beth Kurtz‐Costes. (1994). Is being smart everything? The influence of student achievement on teachers' perceptions. British Journal of Educational Psychology. 64(2). 263–276. 31 indexed citations
15.
Carr, Martha, et al.. (1994). Metacognition and mathematics strategy use. Applied Cognitive Psychology. 8(6). 583–595. 58 indexed citations
16.
Carr, Martha & Wolfgang Schneider. (1991). Long-term maintenance of organizational strategies in kindergarten children. Contemporary Educational Psychology. 16(1). 61–72. 15 indexed citations
17.
Carr, Martha, John G. Borkowski, & Scott E. Maxwell. (1991). Motivational components of underachievement.. Developmental Psychology. 27(1). 108–118. 5 indexed citations
18.
Kurtz‐Costes, Beth, Wolfgang Schneider, Martha Carr, John G. Borkowski, & Elizabeth Rellinger. (1990). Strategy instruction and attributional beliefs in West Germany and the United States: Do teachers foster metacognitive development?. Contemporary Educational Psychology. 15(3). 268–283. 27 indexed citations
19.
Carr, Martha & John G. Borkowski. (1989). Attributional training and the generalization of reading strategies with underachieving children. Learning and Individual Differences. 1(3). 327–341. 30 indexed citations
20.
Carr, Martha & John G. Borkowski. (1987). Metamemory in Gifted Children. Gifted Child Quarterly. 31(1). 40–44. 21 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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