Nicholas J. Patterson

10 total papers · 426 total citations
7 papers, 225 citations indexed

About

Nicholas J. Patterson is a scholar working on Artificial Intelligence, Immunology and Electrical and Electronic Engineering. According to data from OpenAlex, Nicholas J. Patterson has authored 7 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Immunology and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Nicholas J. Patterson's work include Coding theory and cryptography (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Immune Response and Inflammation (2 papers). Nicholas J. Patterson is often cited by papers focused on Coding theory and cryptography (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Immune Response and Inflammation (2 papers). Nicholas J. Patterson collaborates with scholars based in United States, United Kingdom and Czechia. Nicholas J. Patterson's co-authors include Doug Wiedemann, Dirk Werling, Amanda J. Gibson, Victoria Offord, Ján Matiašovic, Hans‐Martin Seyfert, Duncan M. Mwangi, Gary A. Splitter, Tracey J. Coffey and Ian R. Monk and has published in prestigious journals such as IEEE Transactions on Information Theory, Frontiers in Microbiology and Veterinary Immunology and Immunopathology.

In The Last Decade

Nicholas J. Patterson

6 papers receiving 199 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas J. Patterson 178 100 51 33 26 7 225
Paul K. Harmer 107 0.6× 25 0.3× 10 0.2× 112 3.4× 28 1.1× 10 269
Guozhen Xiao 259 1.5× 204 2.0× 97 1.9× 20 0.6× 7 279
M.D. Yucel 148 0.8× 97 1.0× 22 0.4× 14 0.4× 10 159
Edgar Liberis 51 0.3× 49 0.5× 8 0.2× 28 0.8× 25 1.0× 5 246
Georgios D. Dimou 26 0.1× 101 1.0× 12 0.2× 41 1.2× 41 1.6× 8 185
R. J. M. Hughes 180 1.0× 13 0.1× 111 2.2× 39 1.2× 16 0.6× 6 251
João Sá Sousa 214 1.2× 30 0.3× 14 0.3× 35 1.1× 2 0.1× 11 289
C.-Y. Kao 104 0.6× 10 0.1× 65 1.3× 16 0.5× 5 0.2× 8 284
Emilie Kaufmann 68 0.4× 8 0.1× 66 1.3× 18 0.5× 9 0.3× 12 210
Iris Anshel 141 0.8× 33 0.3× 48 0.9× 21 0.6× 8 199

Countries citing papers authored by Nicholas J. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas J. Patterson. 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 Nicholas J. Patterson. The network helps show where Nicholas J. Patterson may publish in the future.

Co-authorship network of co-authors of Nicholas J. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Patterson. A scholar is included among the top collaborators of Nicholas J. Patterson 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 Nicholas J. Patterson. Nicholas J. Patterson 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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