Darren Hayes

473 total citations
25 papers, 324 citations indexed

About

Darren Hayes is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Darren Hayes has authored 25 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Darren Hayes's work include Advanced Malware Detection Techniques (7 papers), Digital and Cyber Forensics (5 papers) and Digital Media Forensic Detection (5 papers). Darren Hayes is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Digital and Cyber Forensics (5 papers) and Digital Media Forensic Detection (5 papers). Darren Hayes collaborates with scholars based in United States, Italy and Ireland. Darren Hayes's co-authors include Francesco Cappa, Federica Rosso, Nhien‐An Le‐Khac, James H. Cardon, Eduardo Palermo, Serena Filoni, Rocco Salvatore Calabrò, Mark Scanlon, F. Hubert and Emilia Scalona and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and IEEE Transactions on Power Delivery.

In The Last Decade

Darren Hayes

23 papers receiving 302 citations

Peers

Darren Hayes
Comparison fields: 5 of 82
  • Information Systems 86
  • Sociology and Political Science 62
  • Strategy and Management 43
  • Marketing 41
  • Signal Processing 39
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Yujia Lin China
Efthimios Bothos Greece
Leonidas Theodorakopoulos Greece
Krishnadas Nanath United Arab Emirates
Abrar Ullah Pakistan
Luca Piras Italy
Krassie Petrova New Zealand
Gero Strobel Germany
Александра Лабус Serbia
Dmitry Zhdanov United States
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Citations per field, relative to Darren Hayes
Darren Hayes · 1×
Citations per year, relative to Darren Hayes
Darren Hayes · 1×

Countries citing papers authored by Darren Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Darren Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Hayes. A scholar is included among the top collaborators of Darren Hayes 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 Darren Hayes. Darren Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 16
4 38
5 53
6 4
7 1
8 33
9
A Dynamic and Static Analysis of the Uber Mobile Application from a Privacy Perspective
5
10 24
11 5
12 63
13
Leakage of Geolocation Data by Mobile Ad Networks
2
14 0
15 4
16
Body Segment Contributions to Free Throw Shooting in Basketball
2
17
The efficacy of project retrospectives on organizational process improvement initiatives in software development
2
18 2
19 13
20 3

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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