John Violos

842 citations
48 papers · 487 · h-index 12

Impact in

Papers in

John Violos

43 papers receiving 470 citations

Peers

John Violos
Comparison fields: 5 of 72
  • Computer Networks and Communications 295
  • Information Systems 167
  • Computer Vision and Pattern Recognition 76
  • Artificial Intelligence 114
  • Transportation 23
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Yuanyi Chen China
Ranbir Singh Batth India
Pino Caballero‐Gil Spain
Ahmed S. Salama Egypt
Konstantin Igorevich Kostromitin Russia
Nasser Albogami Saudi Arabia
Jacques Demerjian Lebanon
Rakesh Kumar Lenka India
Panagiotis Vlacheas Greece
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Citations per year

Countries citing papers authored by John Violos

Since Specialization
Citations

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

Fields of papers citing papers by John Violos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021183
2 202234
3 202220
4 202019
5 202316
6 202315
7 201815
8 202215
9 202314
10 202114
11 201612
12 202211
13 201610
14 20239
15 20177
16 20246
17 20226
18 20196
19 20225
20 20185

About John Violos

John Violos is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 48 papers that have together received 487 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Cloud Computing and Resource Management (10 papers), Network Security and Intrusion Detection (8 papers), Human Mobility and Location-Based Analysis (7 papers), Traffic Prediction and Management Techniques (7 papers), Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Information Systems (167 citations), Computer Vision and Pattern Recognition (76 citations), Artificial Intelligence (114 citations) and Transportation (23 citations). John Violos has collaborated with scholars based in Greece, Canada and Italy. Frequent co-authors include Aris Leivadeas, Konstantinos Tserpes, Nathalie Mitton, Nina Santi, Dimitrios Spatharakis, Dimitrios Dechouniotis, Marios Avgeris, Symeon Papavassiliou, Νικόλαος Αθανασόπουλος and Theodora Varvarigou. Their work appears in journals such as Computer Networks, Future Generation Computer Systems, IEEE Access, IEEE Transactions on Network and Service Management and Journal of Parallel and Distributed Computing.

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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