M. A. Spivak

30 total papers · 510 total citations
19 papers, 339 citations indexed

About

M. A. Spivak is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, M. A. Spivak has authored 19 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in M. A. Spivak's work include semigroups and automata theory (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). M. A. Spivak is often cited by papers focused on semigroups and automata theory (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). M. A. Spivak collaborates with scholars based in United States, Sweden and Russia. M. A. Spivak's co-authors include Léon Bottou, William Stafford Noble, Jason Weston, Lukas Käll, Leslie Greengard, Shravan Veerapaneni, Paolo Emilio Barbano, Michael J. MacCoss, Gilles Gasso and Marc Flajolet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

M. A. Spivak

14 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
M. A. Spivak	211	117	39	33	19	19	339
Yousuke Ohno	195 0.9×	40 0.3×	21 0.5×	62 1.9×	12 0.6×	19	401
Antonio Palmeri	269 1.3×	42 0.4×	14 0.4×	56 1.7×	28 1.5×	12	382
Lolita Piersimoni	267 1.3×	140 1.2×	8 0.2×	13 0.4×	7 0.4×	11	379
Gentaro Morimoto	200 0.9×	22 0.2×	22 0.6×	121 3.7×	15 0.8×	13	373
Andrea Splendiani	233 1.1×	37 0.3×	112 2.9×	25 0.8×	8 0.4×	23	376
Piotr Grabowski	238 1.1×	68 0.6×	13 0.3×	56 1.7×	14 0.7×	20	400
Sergio Bacallado	227 1.1×	57 0.5×	42 1.1×	68 2.1×	7 0.4×	19	352
Rudesh D. Toofanny	323 1.5×	63 0.5×	10 0.3×	12 0.4×	10 0.5×	12	371
Max Robinson	233 1.1×	33 0.3×	35 0.9×	4 0.1×	11 0.6×	21	364
Vance Wong	152 0.7×	95 0.8×	22 0.6×	12 0.4×	3 0.2×	14	400

Countries citing papers authored by M. A. Spivak

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Spivak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Spivak. 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 M. A. Spivak. The network helps show where M. A. Spivak may publish in the future.

Co-authorship network of co-authors of M. A. Spivak

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