Margaret Readdy

57 total papers · 533 total citations
31 papers, 255 citations indexed

About

Margaret Readdy is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Algebra and Number Theory. According to data from OpenAlex, Margaret Readdy has authored 31 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Discrete Mathematics and Combinatorics, 16 papers in Geometry and Topology and 15 papers in Algebra and Number Theory. Recurrent topics in Margaret Readdy's work include Advanced Combinatorial Mathematics (26 papers), Algebraic structures and combinatorial models (14 papers) and Advanced Mathematical Identities (11 papers). Margaret Readdy is often cited by papers focused on Advanced Combinatorial Mathematics (26 papers), Algebraic structures and combinatorial models (14 papers) and Advanced Mathematical Identities (11 papers). Margaret Readdy collaborates with scholars based in United States, Canada and France. Margaret Readdy's co-authors include Richard Ehrenborg, Louis J. Billera, Michael Levin, Einar Steingrı́msson, Yue Cai, Pavlo Pylyavskyy, R. Rajagopalan and Mark Goresky and has published in prestigious journals such as Advances in Mathematics, Discrete Mathematics and Journal of Combinatorial Theory Series A.

In The Last Decade

Margaret Readdy

27 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Margaret Readdy	228	132	112	65	51	31	255
Guoce Xin	230 1.0×	162 1.2×	121 1.1×	62 1.0×	61 1.2×	42	296
T. Kyle Petersen	241 1.1×	154 1.2×	121 1.1×	46 0.7×	50 1.0×	30	290
Dominique Dumont	207 0.9×	164 1.2×	59 0.5×	43 0.7×	43 0.8×	18	257
Brendon Rhoades	269 1.2×	136 1.0×	200 1.8×	77 1.2×	41 0.8×	40	293
H. A. Helfgott	172 0.8×	105 0.8×	132 1.2×	56 0.9×	82 1.6×	28	282
Margaret M. Bayer	255 1.1×	152 1.2×	147 1.3×	35 0.5×	71 1.4×	21	286
June Huh	183 0.8×	93 0.7×	165 1.5×	51 0.8×	142 2.8×	15	297
Mike Zabrocki	175 0.8×	102 0.8×	138 1.2×	50 0.8×	25 0.5×	41	197
Volker Strehl	142 0.6×	120 0.9×	48 0.4×	21 0.3×	60 1.2×	20	208
Christian Stump	176 0.8×	82 0.6×	131 1.2×	57 0.9×	45 0.9×	26	195

Countries citing papers authored by Margaret Readdy

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Readdy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Readdy

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