Martha Abbott–Shim

31 total papers · 1.1k total citations
24 papers, 802 citations indexed

About

Martha Abbott–Shim is a scholar working on Education, Developmental and Educational Psychology and General Health Professions. According to data from OpenAlex, Martha Abbott–Shim has authored 24 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 6 papers in Developmental and Educational Psychology and 3 papers in General Health Professions. Recurrent topics in Martha Abbott–Shim's work include Early Childhood Education and Development (14 papers), Parental Involvement in Education (6 papers) and Teacher Education and Leadership Studies (5 papers). Martha Abbott–Shim is often cited by papers focused on Early Childhood Education and Development (14 papers), Parental Involvement in Education (6 papers) and Teacher Education and Leadership Studies (5 papers). Martha Abbott–Shim collaborates with scholars based in United States. Martha Abbott–Shim's co-authors include Richard G. Lambert, Frances McCarty, Sandra Scarr, Deborah Phillips, Kathleen McCartney, Debra Mekos, Martha A. Foster, Peggy A. Gallagher, Joanne R. Nurss and Louisa Tarullo and has published in prestigious journals such as PEDIATRICS, Early Childhood Research Quarterly and Early Education and Development.

In The Last Decade

Martha Abbott–Shim

21 papers receiving 684 citations

Author Peers

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

Author Last Decade Papers Cites
Martha Abbott–Shim 704 241 200 105 47 24 802
Nancy File 653 0.9× 298 1.2× 171 0.9× 55 0.5× 37 0.8× 30 761
Karen Elliot 710 1.0× 155 0.6× 188 0.9× 95 0.9× 66 1.4× 25 843
Pauline Slot 851 1.2× 251 1.0× 313 1.6× 126 1.2× 82 1.7× 41 1.0k
Carolina Maldonado‐Carreño 635 0.9× 263 1.1× 175 0.9× 70 0.7× 50 1.1× 21 776
Louis Manfra 510 0.7× 173 0.7× 319 1.6× 48 0.5× 58 1.2× 23 708
Elizabeth Spier 477 0.7× 214 0.9× 263 1.3× 51 0.5× 81 1.7× 17 738
Nina Chien 565 0.8× 275 1.1× 256 1.3× 133 1.3× 43 0.9× 14 883
Mary Culkin 818 1.2× 367 1.5× 165 0.8× 121 1.2× 95 2.0× 10 911
Irving Lazar 501 0.7× 271 1.1× 157 0.8× 61 0.6× 87 1.9× 18 769
Stephanie M. Curenton 687 1.0× 202 0.8× 636 3.2× 107 1.0× 37 0.8× 49 1.0k

Countries citing papers authored by Martha Abbott–Shim

Since Specialization
Citations

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

Fields of papers citing papers by Martha Abbott–Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martha Abbott–Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Martha Abbott–Shim. A scholar is included among the top collaborators of Martha Abbott–Shim 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 Abbott–Shim. Martha Abbott–Shim 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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