Gary Steri

1.6k citations
37 papers · 1.1k · h-index 18

Impact in

Papers in

Gary Steri

36 papers receiving 1.0k citations

Peers

Gary Steri
Comparison fields: 5 of 96
  • Signal Processing 219
  • Information Systems 426
  • Computer Networks and Communications 392
  • Artificial Intelligence 367
  • Computer Vision and Pattern Recognition 168
Replace Kangfeng Zheng with:
Kangfeng Zheng China
Yuan Yao China
Mark Ryan United Kingdom
Salekul Islam Bangladesh
Muhammad Rizwan Asghar New Zealand
Abdelmadjid Bouabdallah France
Xiaoxing Ma China
Félix J. García Clemente Spain
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Citations per field
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Kangfeng Zheng · 1×
Citations per year

Countries citing papers authored by Gary Steri

Since Specialization
Citations

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

Fields of papers citing papers by Gary Steri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gary Steri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary Steri Line = papers co-authored together Gary Steri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 2017133
3 201782
4 201579
5 201470
6 201863
7 202055
8 201743
9 201737
10 201432
11 201628
12 201527
13 201426
14 200825
15 201623
16 201422
17 201822
18 201817
19 201715
20 201615

About Gary Steri

Gary Steri is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (9 papers), Blockchain Technology Applications and Security (8 papers), Wireless Signal Modulation Classification (7 papers), Advanced Malware Detection Techniques (6 papers), Privacy-Preserving Technologies in Data (5 papers), Wireless Body Area Networks (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Signal Processing (219 citations), Information Systems (426 citations), Computer Networks and Communications (392 citations), Artificial Intelligence (367 citations) and Computer Vision and Pattern Recognition (168 citations). Gary Steri has collaborated with scholars based in Italy, Slovenia and France. Frequent co-authors include Gianmarco Baldini, Ricardo Neisse, Igor Nai-Fovino, Raimondo Giuliani, Ioannis Kounelis, Dimitris Geneiatakis, Igor Nai Fovino, Claudio Gentile, Leonardo Goratti and Roman Kamnik. Their work appears in journals such as Computers & Security, Sensors, IEEE Internet Computing, Clinical Microbiology and Infection and Vaccine.

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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