Michael W. Totaro

62 total papers · 644 total citations
45 papers, 387 citations indexed

About

Michael W. Totaro is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Michael W. Totaro has authored 45 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Michael W. Totaro's work include Online and Blended Learning (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Cryptographic Implementations and Security (4 papers). Michael W. Totaro is often cited by papers focused on Online and Blended Learning (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Cryptographic Implementations and Security (4 papers). Michael W. Totaro collaborates with scholars based in United States, Iran and Canada. Michael W. Totaro's co-authors include John R. Tanner, Bhaskar Ghosh, Magdy Bayoumi, David Stevens, Khalid Elgazzar, Zhiwei Zhu, Dmitri Perkins, Geoffrey T. Stewart, Michael S. Gaines and John F. Tanner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and Journal of the Association for Information Systems.

In The Last Decade

Michael W. Totaro

40 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Michael W. Totaro 118 81 75 72 67 45 387
Alberto Salguero 101 0.9× 78 1.0× 113 1.5× 68 0.9× 109 1.6× 38 424
Oliver Vornberger 53 0.4× 67 0.8× 92 1.2× 47 0.7× 80 1.2× 46 427
Mikko Honkala 70 0.6× 54 0.7× 74 1.0× 69 1.0× 54 0.8× 41 377
Kamal Bijlani 74 0.6× 45 0.6× 108 1.4× 74 1.0× 119 1.8× 50 438
Saadiah Yahya 53 0.4× 147 1.8× 67 0.9× 155 2.2× 42 0.6× 55 397
Azhar Mahmood 80 0.7× 77 1.0× 75 1.0× 78 1.1× 31 0.5× 52 414
Ivan Tomek 42 0.4× 40 0.5× 106 1.4× 65 0.9× 67 1.0× 51 375
Abdalla Alameen 62 0.5× 47 0.6× 66 0.9× 74 1.0× 47 0.7× 32 407
Rukshan Athauda 73 0.6× 56 0.7× 91 1.2× 95 1.3× 25 0.4× 44 399
Patrícia Tedesco 79 0.7× 58 0.7× 74 1.0× 80 1.1× 71 1.1× 65 350

Countries citing papers authored by Michael W. Totaro

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Totaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Totaro

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