Daniel Ragsdale

29 total papers · 593 total citations
18 papers, 330 citations indexed

About

Daniel Ragsdale is a scholar working on Computer Networks and Communications, Information Systems and Control and Systems Engineering. According to data from OpenAlex, Daniel Ragsdale has authored 18 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Information Systems and 4 papers in Control and Systems Engineering. Recurrent topics in Daniel Ragsdale's work include Network Security and Intrusion Detection (7 papers), Information and Cyber Security (6 papers) and Advanced Malware Detection Techniques (4 papers). Daniel Ragsdale is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Information and Cyber Security (6 papers) and Advanced Malware Detection Techniques (4 papers). Daniel Ragsdale collaborates with scholars based in United States, Puerto Rico and India. Daniel Ragsdale's co-authors include Ronald Dodge, Udo W. Pooch, Jeffrey W. Humphries, Curtis A. Carver, Lance J. Hoffman, C.K. Reynolds, John M. Hill, D. Richard Kuhn and J. Yen and has published in prestigious journals such as Computer, Tree Physiology and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Daniel Ragsdale

16 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Ragsdale 206 148 98 77 38 18 330
Gregory B. White 149 0.7× 222 1.5× 110 1.1× 105 1.4× 31 0.8× 28 362
Stuart McClure 174 0.8× 189 1.3× 128 1.3× 119 1.5× 34 0.9× 13 350
Mark Gondree 195 0.9× 120 0.8× 40 0.4× 165 2.1× 44 1.2× 16 314
Mariana Hentea 128 0.6× 91 0.6× 51 0.5× 25 0.3× 27 0.7× 21 249
Adeeb Alsaaidah 105 0.5× 172 1.2× 78 0.8× 133 1.7× 37 1.0× 28 353
George Kurtz 153 0.7× 179 1.2× 123 1.3× 107 1.4× 33 0.9× 8 322
Blaine Hoffman 152 0.7× 57 0.4× 30 0.3× 46 0.6× 42 1.1× 21 260
Eric Burger 256 1.2× 126 0.9× 58 0.6× 51 0.7× 52 1.4× 30 350
Ken-ichi Chinen 154 0.7× 247 1.7× 60 0.6× 25 0.3× 13 0.3× 25 346
Kevin Daimi 95 0.5× 87 0.6× 51 0.5× 90 1.2× 19 0.5× 25 261

Countries citing papers authored by Daniel Ragsdale

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ragsdale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ragsdale

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