Benjamin Aziz

1.1k citations
107 papers · 798 · h-index 15

Impact in

Papers in

Benjamin Aziz

100 papers receiving 741 citations

Peers

Benjamin Aziz
Comparison fields: 5 of 71
  • Computer Networks and Communications 443
  • Information Systems 355
  • Software 39
  • Signal Processing 97
  • Artificial Intelligence 279
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John Buford United States
Carsten Rudolph Germany
Ian Oliver Finland
Ilaria Matteucci Italy
H. Chi Wong United States
Giampaolo Bella Italy
Nabil Layaïda France
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Jerry den Hartog Netherlands
Michael J. Donahoo United States
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Citations per field
00.5×4.8×
John Buford · 1×
Citations per year

Countries citing papers authored by Benjamin Aziz

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Aziz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Aziz, 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 Benjamin Aziz Line = papers co-authored together Benjamin Aziz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201548
3 201645
4 202032
5 200628
6 200928
7 200923
8 201421
9 201620
10 201720
11 202019
12 200817
13 201516
14 200815
15 202014
16 202012
17 201012
18 201011
19 201611
20 201711

About Benjamin Aziz

Benjamin Aziz is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Sociology and Political Science and Signal Processing, having authored 107 papers that have together received 798 indexed citations. Recurring topics across this work include Access Control and Trust (26 papers), Advanced Malware Detection Techniques (17 papers), Distributed systems and fault tolerance (17 papers), Security and Verification in Computing (16 papers), Network Security and Intrusion Detection (14 papers), Service-Oriented Architecture and Web Services (12 papers), Cryptography and Data Security (11 papers) and Information and Cyber Security (11 papers). The work is most often cited by research in Computer Networks and Communications (443 citations), Information Systems (355 citations), Software (39 citations), Signal Processing (97 citations) and Artificial Intelligence (279 citations). Benjamin Aziz has collaborated with scholars based in United Kingdom, Ireland and Spain. Frequent co-authors include Paul Fremantle, Álvaro Arenas, Mo Adda, Jacek Kopecký, Ali Malik, Philip Scott, Chih‐Heng Ke, Juan Bicarregui, Gheorghe Cosmin Silaghi and John J. Herbert. Their work appears in journals such as IEEE Access, Applied Sciences, Digital Investigation, Lecture notes in computer science and Computer Networks.

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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