Margaret Smith

143 total papers · 1.6k total citations
38 papers, 847 citations indexed

About

Margaret Smith is a scholar working on Computational Theory and Mathematics, Software and General Health Professions. According to data from OpenAlex, Margaret Smith has authored 38 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 14 papers in Software and 8 papers in General Health Professions. Recurrent topics in Margaret Smith's work include Formal Methods in Verification (14 papers), Software Testing and Debugging Techniques (11 papers) and Software Reliability and Analysis Research (9 papers). Margaret Smith is often cited by papers focused on Formal Methods in Verification (14 papers), Software Testing and Debugging Techniques (11 papers) and Software Reliability and Analysis Research (9 papers). Margaret Smith collaborates with scholars based in United States, Denmark and United Kingdom. Margaret Smith's co-authors include Gerard J. Holzmann, Steven Lin, Klaus Havelund, Alex Groce, Kousha Etessami, Howard Barringer, Erin L. Sutfin, Dannielle Kelley, Amelia Sattler and Melissa L. Finucane and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Mayo Clinic Proceedings.

In The Last Decade

Margaret Smith

36 papers receiving 789 citations

Hit Papers

Artificial Intelligence–G... 2024 2026 2024 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Margaret Smith 300 286 252 128 92 38 847
Bo Jin 9 0.0× 103 0.4× 328 1.3× 59 0.5× 38 0.4× 52 992
B. G. Buchanan 13 0.0× 99 0.3× 421 1.7× 29 0.2× 40 0.4× 33 983
Giuseppe Pozzi 24 0.1× 44 0.2× 362 1.4× 26 0.2× 248 2.7× 56 1.0k
Bruce W. Watson 54 0.2× 255 0.9× 356 1.4× 3 0.0× 46 0.5× 97 753
Ron Koymans 313 1.0× 640 2.2× 407 1.6× 2 0.0× 173 1.9× 17 999
Dave Clarke 208 0.7× 232 0.8× 841 3.3× 313 3.4× 86 1.0k
Szymon Wilk 6 0.0× 90 0.3× 445 1.8× 34 0.3× 31 0.3× 81 979
Hui Yang 39 0.1× 23 0.1× 573 2.3× 14 0.1× 60 0.7× 62 1.0k
Gianpaolo Molino 17 0.1× 26 0.1× 200 0.8× 13 0.1× 57 0.6× 45 712
Zhihua Tang 82 0.3× 33 0.1× 42 0.2× 3 0.0× 74 0.8× 52 699

Countries citing papers authored by Margaret Smith

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Smith. A scholar is included among the top collaborators of Margaret Smith 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 Margaret Smith. Margaret Smith 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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