Mary Shepherd

31 total papers · 880 total citations
13 papers, 497 citations indexed

About

Mary Shepherd is a scholar working on Education, Modeling and Simulation and Statistics and Probability. According to data from OpenAlex, Mary Shepherd has authored 13 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 2 papers in Modeling and Simulation and 2 papers in Statistics and Probability. Recurrent topics in Mary Shepherd's work include Mathematics Education and Programs (2 papers), Mathematics Education and Teaching Techniques (2 papers) and Semantic Web and Ontologies (1 paper). Mary Shepherd is often cited by papers focused on Mathematics Education and Programs (2 papers), Mathematics Education and Teaching Techniques (2 papers) and Semantic Web and Ontologies (1 paper). Mary Shepherd collaborates with scholars based in United States and Canada. Mary Shepherd's co-authors include Karen Pittman, Douglas B. Lenat, Dexter Pratt, R. Guha, Annie Selden, John Selden, Mark Ashworth and Chris Evans and has published in prestigious journals such as Communications of the ACM, Journal of Psychosomatic Research and The Journal of Mathematical Behavior.

In The Last Decade

Mary Shepherd

12 papers receiving 416 citations

Author Peers

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

Author Last Decade Papers Cites
Mary Shepherd 224 81 76 54 52 13 497
Kate Lockwood 102 0.5× 87 1.1× 34 0.4× 13 0.2× 52 1.0× 16 461
Terrill L. Frantz 90 0.4× 16 0.2× 39 0.5× 54 1.0× 20 0.4× 25 463
Anshika Arora 164 0.7× 124 1.5× 112 1.5× 53 1.0× 15 0.3× 22 566
Simon Singh 146 0.7× 32 0.4× 50 0.7× 13 0.2× 18 0.3× 24 501
Joshua Guberman 82 0.4× 112 1.4× 32 0.4× 25 0.5× 54 1.0× 10 457
Michael Moore 140 0.6× 191 2.4× 106 1.4× 27 0.5× 76 1.5× 22 591
Claire Christensen 55 0.2× 138 1.7× 48 0.6× 26 0.5× 67 1.3× 21 529
Curry Guinn 310 1.4× 15 0.2× 52 0.7× 136 2.5× 35 0.7× 35 581
Jianjun Qin 111 0.5× 81 1.0× 101 1.3× 48 0.9× 68 1.3× 15 455
Felix Mödritscher 151 0.7× 159 2.0× 191 2.5× 22 0.4× 184 3.5× 48 560

Countries citing papers authored by Mary Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Mary Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Shepherd

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026