Jeremy Macdonald

16 total papers · 893 total citations
4 papers, 678 citations indexed

About

Jeremy Macdonald is a scholar working on Geometry and Topology, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Jeremy Macdonald has authored 4 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Geometry and Topology, 2 papers in Cognitive Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jeremy Macdonald's work include Geometric and Algebraic Topology (2 papers), semigroups and automata theory (2 papers) and Algorithms and Data Compression (1 paper). Jeremy Macdonald is often cited by papers focused on Geometric and Algebraic Topology (2 papers), semigroups and automata theory (2 papers) and Algorithms and Data Compression (1 paper). Jeremy Macdonald collaborates with scholars based in Canada, Italy and United States. Jeremy Macdonald's co-authors include Alan C. Evans, Virginia B. Penhune, Robert J. Zatorre, Francesco Tomaiuolo, Zografos Caramanos, Michael Petrides, Mary M. Chiavaras and Alexei Myasnikov and has published in prestigious journals such as Cerebral Cortex, European Journal of Neuroscience and Transactions of the American Mathematical Society.

In The Last Decade

Jeremy Macdonald

4 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Jeremy Macdonald 606 138 103 94 67 4 678
Jeffrey Singerman 549 0.9× 75 0.5× 159 1.5× 66 0.7× 129 1.9× 4 671
Debra L. Kigar 400 0.7× 108 0.8× 117 1.1× 78 0.8× 74 1.1× 8 608
Lars Hömke 469 0.8× 63 0.5× 183 1.8× 39 0.4× 65 1.0× 11 620
Joeran Lepsien 492 0.8× 109 0.8× 163 1.6× 26 0.3× 23 0.3× 5 605
Lucas Tamarit 456 0.8× 157 1.1× 181 1.8× 20 0.2× 75 1.1× 9 718
Benjamin L. Jacobson 462 0.8× 100 0.7× 49 0.5× 49 0.5× 52 0.8× 6 585
Juliana Sanchez Bloom 333 0.5× 33 0.2× 146 1.4× 107 1.1× 27 0.4× 5 561
Anna D. Rosen 313 0.5× 67 0.5× 131 1.3× 33 0.4× 33 0.5× 7 561
Larissa A. Mead 545 0.9× 132 1.0× 19 0.2× 47 0.5× 101 1.5× 8 649
Albert M. Galaburda 416 0.7× 39 0.3× 73 0.7× 308 3.3× 24 0.4× 10 775

Countries citing papers authored by Jeremy Macdonald

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Macdonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Macdonald

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