Michael J. Salvo

46 total papers · 525 total citations
20 papers, 286 citations indexed

About

Michael J. Salvo is a scholar working on Literature and Literary Theory, Communication and Information Systems. According to data from OpenAlex, Michael J. Salvo has authored 20 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Literature and Literary Theory, 4 papers in Communication and 4 papers in Information Systems. Recurrent topics in Michael J. Salvo's work include Discourse Analysis in Language Studies (4 papers), Information Systems Theories and Implementation (3 papers) and Wikis in Education and Collaboration (3 papers). Michael J. Salvo is often cited by papers focused on Discourse Analysis in Language Studies (4 papers), Information Systems Theories and Implementation (3 papers) and Wikis in Education and Collaboration (3 papers). Michael J. Salvo collaborates with scholars based in United States and Qatar. Michael J. Salvo's co-authors include Robert R. Johnson, Liza Potts, Thomas Rickert, Melanie Yergeau, Stephanie L. Kerschbaum, Cynthia L. Selfe, Sushil K. Oswal, F. N. Howes, Elizabeth Brewer and Margaret Price and has published in prestigious journals such as IEEE Transactions on Professional Communication, Computers & composition and Journal of Business and Technical Communication.

In The Last Decade

Michael J. Salvo

18 papers receiving 245 citations

Author Peers

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

Author						Papers	Cites
Michael J. Salvo	113	69	53	48	31	20	286
Leena Kuure	125 1.1×	62 0.9×	24 0.5×	39 0.8×	50 1.6×	32	313
Tharon Howard	73 0.6×	38 0.6×	26 0.5×	18 0.4×	13 0.4×	17	201
Brian J. McNely	54 0.5×	92 1.3×	72 1.4×	40 0.8×	38 1.2×	20	262
Mike Markel	25 0.2×	57 0.8×	39 0.7×	74 1.5×	31 1.0×	31	288
Stacey Pigg	40 0.4×	79 1.1×	69 1.3×	92 1.9×	23 0.7×	24	272
Mark W. Bell	91 0.8×	141 2.0×	18 0.3×	24 0.5×	34 1.1×	14	307
R. John Brockmann	70 0.6×	28 0.4×	27 0.5×	41 0.9×	64 2.1×	30	306
Stuart Blythe	34 0.3×	72 1.0×	52 1.0×	94 2.0×	18 0.6×	13	268
Aarti Israni	103 0.9×	140 2.0×	53 1.0×	11 0.2×	46 1.5×	12	273
Dave Hobbs	81 0.7×	76 1.1×	21 0.4×	19 0.4×	22 0.7×	21	331

Countries citing papers authored by Michael J. Salvo

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Salvo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Salvo

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