Read Sprabery

18 total papers · 539 total citations
12 papers, 300 citations indexed

About

Read Sprabery is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Read Sprabery has authored 12 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Read Sprabery's work include Security and Verification in Computing (9 papers), Cloud Data Security Solutions (5 papers) and Advanced Malware Detection Techniques (4 papers). Read Sprabery is often cited by papers focused on Security and Verification in Computing (9 papers), Cloud Data Security Solutions (5 papers) and Advanced Malware Detection Techniques (4 papers). Read Sprabery collaborates with scholars based in United States and United Kingdom. Read Sprabery's co-authors include Roy H. Campbell, Mengjia Yan, Bhargava Gopireddy, Christopher W. Fletcher, Josep Torrellas, László Szekeres, Dimitrios Skarlatos, Masooda Bashir, Kevin Kwiat and C. Di Giulio and has published in prestigious journals such as IEEE Micro.

In The Last Decade

Read Sprabery

12 papers receiving 285 citations

Author Peers

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

Author Last Decade Papers Cites
Read Sprabery 180 121 111 75 72 12 300
Patrick Jauernig 201 1.1× 181 1.5× 123 1.1× 58 0.8× 95 1.3× 12 334
Sebastian Österlund 190 1.1× 75 0.6× 153 1.4× 80 1.1× 86 1.2× 7 278
Xunchao Hu 151 0.8× 91 0.8× 152 1.4× 39 0.5× 25 0.3× 8 237
Erick Bauman 188 1.0× 134 1.1× 149 1.3× 31 0.4× 23 0.3× 10 276
Roberto Paleari 202 1.1× 102 0.8× 246 2.2× 65 0.9× 142 2.0× 9 352
Kang Li 109 0.6× 147 1.2× 172 1.5× 26 0.3× 203 2.8× 8 326
Yeoul Na 162 0.9× 63 0.5× 128 1.2× 65 0.9× 66 0.9× 12 241
Jonathan Rowanhill 167 0.9× 82 0.7× 132 1.2× 46 0.6× 39 0.5× 11 269
John Wilander 244 1.4× 116 1.0× 227 2.0× 51 0.7× 56 0.8× 10 329
Thomas Nyman 239 1.3× 102 0.8× 191 1.7× 88 1.2× 14 0.2× 16 302

Countries citing papers authored by Read Sprabery

Since Specialization
Citations

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

Fields of papers citing papers by Read Sprabery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Read Sprabery

This figure shows the co-authorship network connecting the top 25 collaborators of Read Sprabery. A scholar is included among the top collaborators of Read Sprabery 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 Read Sprabery. Read Sprabery 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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2026