Manda Wilson

5.2k total citations
4 papers, 36 citations indexed

About

Manda Wilson is a scholar working on Molecular Biology, Computational Mechanics and Biophysics. According to data from OpenAlex, Manda Wilson has authored 4 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Computational Mechanics and 1 paper in Biophysics. Recurrent topics in Manda Wilson's work include Gender and Technology in Education (1 paper), Statistics Education and Methodologies (1 paper) and Diverse Scientific and Engineering Research (1 paper). Manda Wilson is often cited by papers focused on Gender and Technology in Education (1 paper), Statistics Education and Methodologies (1 paper) and Diverse Scientific and Engineering Research (1 paper). Manda Wilson collaborates with scholars based in United States. Manda Wilson's co-authors include Aaron Gabow, Shari Lawrence Pfleeger, Selim Kalaycı, Zeynep H. Gümüş and Dennis Shasha and has published in prestigious journals such as GigaScience and ACM SIGCSE Bulletin.

In The Last Decade

Manda Wilson

4 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manda Wilson United States	3	11	9	8	8	8	4	36
Eva Maxfield Brown United States	4		5 0.6×	9 1.1×	6 0.8×	14 1.8×	10	71
Marco Antonio Sobrevilla Cabezudo Brazil	6	4 0.4×	8 0.9×	2 0.3×	3 0.4×		18	89
Edson Mello Lucas Brazil	3	12 1.1×	2 0.2×		7 0.9×		5	33
Sebastin Santy United States	5	4 0.4×	9 1.0×	3 0.4×	2 0.3×		8	64
Emma Barker United Kingdom	7	4 0.4×	9 1.0×	5 0.6×	2 0.3×		14	75
Irene Russo Italy	6	2 0.2×	6 0.7×	6 0.8×	4 0.5×		25	140
L. Wielgus United States	2	8 0.7×	7 0.8×		5 0.6×		2	29
Jialu Zhao United States	5	17 1.5×	3 0.3×		3 0.4×		8	65
Francisco Mayo Spain	3	3 0.3×	3 0.3×	3 0.4×	2 0.3×		6	24
D. Cline United States	4	2 0.2×	9 1.0×	1 0.1×	4 0.5×		8	24

Countries citing papers authored by Manda Wilson

Since Specialization

Citations

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

Fields of papers citing papers by Manda Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manda Wilson

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

All Works

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4 of 4 papers shown

1.

Kalaycı, Selim, et al.. (2017). iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D. GigaScience. 6(8). 1–13. 17 indexed citations

2.

Shasha, Dennis & Manda Wilson. (2008). Statistics is Easy!. 1(1). 1–82. 3 indexed citations

3.

Pfleeger, Shari Lawrence, et al.. (2001). Increasing the enrollment of women in computer science. 386–387. 14 indexed citations

4.

Pfleeger, Shari Lawrence, et al.. (2001). Increasing the enrollment of women in computer science. ACM SIGCSE Bulletin. 33(1). 386–387. 2 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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