Joan Ferrini‐Mundy

127 total papers · 1.4k total citations
32 papers, 952 citations indexed

About

Joan Ferrini‐Mundy is a scholar working on Education, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Joan Ferrini‐Mundy has authored 32 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 6 papers in Statistics and Probability and 3 papers in Computer Networks and Communications. Recurrent topics in Joan Ferrini‐Mundy's work include Mathematics Education and Teaching Techniques (18 papers), Teacher Education and Leadership Studies (4 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Joan Ferrini‐Mundy is often cited by papers focused on Mathematics Education and Teaching Techniques (18 papers), Teacher Education and Leadership Studies (4 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Joan Ferrini‐Mundy collaborates with scholars based in United States, South Korea and New Zealand. Joan Ferrini‐Mundy's co-authors include Robert E. Floden, Suzanne M. Wilson, Marie Gaudard, Mark D. Reckase, Sharon L. Senk, Raven McCrory, Glenda Lappan, Anna Sfard, Dong‐Joong Kim and Susan Loucks‐Horsley and has published in prestigious journals such as Science, American Mathematical Monthly and Journal of Teacher Education.

In The Last Decade

Joan Ferrini‐Mundy

31 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Joan Ferrini‐Mundy 780 258 139 89 83 32 952
Ángel Gutiérrez 671 0.9× 258 1.0× 177 1.3× 77 0.9× 51 0.6× 52 818
Mary Montgomery Lindquist 834 1.1× 532 2.1× 259 1.9× 52 0.6× 21 0.3× 44 1.0k
Zalman Usiskin 666 0.9× 330 1.3× 160 1.2× 60 0.7× 38 0.5× 64 913
J. Michael Shaughnessy 789 1.0× 565 2.2× 111 0.8× 40 0.4× 27 0.3× 25 1.0k
W. Gary Martin 1.1k 1.4× 659 2.6× 238 1.7× 21 0.2× 54 0.7× 23 1.2k
David Ben‐Chaim 922 1.2× 124 0.5× 224 1.6× 192 2.2× 38 0.5× 36 1.2k
Lynn T. Goldsmith 643 0.8× 253 1.0× 362 2.6× 46 0.5× 58 0.7× 34 1.2k
Delinda van Garderen 690 0.9× 442 1.7× 338 2.4× 98 1.1× 37 0.4× 43 973
Kevin F. Collis 790 1.0× 241 0.9× 336 2.4× 28 0.3× 42 0.5× 35 1.2k
Janette Bobis 808 1.0× 256 1.0× 288 2.1× 39 0.4× 50 0.6× 72 1.2k

Countries citing papers authored by Joan Ferrini‐Mundy

Since Specialization
Citations

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

Fields of papers citing papers by Joan Ferrini‐Mundy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Ferrini‐Mundy. 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 Joan Ferrini‐Mundy. The network helps show where Joan Ferrini‐Mundy may publish in the future.

Co-authorship network of co-authors of Joan Ferrini‐Mundy

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

All Works

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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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