Susannah M. Wood

61 total papers · 1.0k total citations
34 papers, 595 citations indexed

About

Susannah M. Wood is a scholar working on Social Psychology, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Susannah M. Wood has authored 34 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Social Psychology, 13 papers in Clinical Psychology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Susannah M. Wood's work include Counseling Practices and Supervision (14 papers), Education, Achievement, and Giftedness (10 papers) and Psychotherapy Techniques and Applications (7 papers). Susannah M. Wood is often cited by papers focused on Counseling Practices and Supervision (14 papers), Education, Achievement, and Giftedness (10 papers) and Psychotherapy Techniques and Applications (7 papers). Susannah M. Wood collaborates with scholars based in United States and Indonesia. Susannah M. Wood's co-authors include Laurie Craigen, Tim Grothaus, Norma L. Day‐Vines, Kylie P. Dotson-Blake, Joyce VanTassel‐Baska, Nicholas Colangelo, Cassandra A. Storlie, Karl Oparka, Fiona J. Carr and Kathryn M. Wright and has published in prestigious journals such as PLANT PHYSIOLOGY, Sex Roles and Learning and Individual Differences.

In The Last Decade

Susannah M. Wood

31 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Susannah M. Wood 314 180 157 87 86 34 595
Wei Zhang 193 0.6× 180 1.0× 143 0.9× 98 1.1× 80 0.9× 48 582
Diane S. Kaplan 88 0.3× 158 0.9× 292 1.9× 75 0.9× 54 0.6× 24 504
Eraldo Francesco Nicotra 120 0.4× 133 0.7× 66 0.4× 222 2.6× 31 0.4× 22 515
David Schwartz 360 1.1× 372 2.1× 151 1.0× 107 1.2× 24 0.3× 27 580
Michael T. Morrow 440 1.4× 418 2.3× 173 1.1× 113 1.3× 49 0.6× 20 645
Julia Rudolph 144 0.5× 420 2.3× 89 0.6× 99 1.1× 69 0.8× 29 646
Diana J. Meter 435 1.4× 245 1.4× 265 1.7× 205 2.4× 33 0.4× 39 664
An Yang 275 0.9× 367 2.0× 115 0.7× 139 1.6× 74 0.9× 22 654
Lisa M. Osbeck 244 0.8× 75 0.4× 71 0.5× 128 1.5× 77 0.9× 39 610
Irene Vitoroulis 265 0.8× 232 1.3× 180 1.1× 118 1.4× 53 0.6× 20 500

Countries citing papers authored by Susannah M. Wood

Since Specialization
Citations

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

Fields of papers citing papers by Susannah M. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susannah M. Wood. 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 Susannah M. Wood. The network helps show where Susannah M. Wood may publish in the future.

Co-authorship network of co-authors of Susannah M. Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Susannah M. Wood. A scholar is included among the top collaborators of Susannah M. Wood 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 Susannah M. Wood. Susannah M. Wood 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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