Spyros Lalis

73 papers receiving 436 citations

Peers

Spyros Lalis
Comparison fields: 5 of 55
  • Computer Networks and Communications 260
  • Electrical and Electronic Engineering 130
  • Hardware and Architecture 97
  • Computer Vision and Pattern Recognition 96
  • Information Systems 89
Replace Franklin Reynolds with:
Franklin Reynolds United States
Deo Prakash Vidyarthi India
Kashif Nizam Khan Finland
Taeweon Suh South Korea
Ziqiang Feng United States
Fung Po Tso United Kingdom
Ravi Kokku United States
Wenli Zheng China
Spyros Lalis relative to Franklin Reynolds United States Franklin Reynolds's profile →
Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Spyros Lalis

Since Specialization
Citations

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

Fields of papers citing papers by Spyros Lalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spyros Lalis

This figure shows the co-authorship network connecting the top 25 collaborators of Spyros Lalis. A scholar is included among the top collaborators of Spyros Lalis 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 Spyros Lalis. Spyros Lalis 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
#WorkIndexed citations
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4 7
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7 12
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9 18
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System- and application-level support for runtime hardware reconfiguration on SoC platforms
0
18 1
19
A Data, Computation and Knowledge Grid the Case of the Arion System.
2
20
Towards a next generation of open scientific data repositories and services
7

About Spyros Lalis

Spyros Lalis is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 450 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Context-Aware Activity Recognition Systems (15 papers) and Parallel Computing and Optimization Techniques (15 papers). The work is most often cited by research in Hardware and Architecture (97 citations), Computer Networks and Communications (260 citations) and Computer Vision and Pattern Recognition (96 citations). Spyros Lalis has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Christos D. Antonopoulos, Nikolaos Bellas, Thanasis Loukopoulos, Nikos Tziritas, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Samee U. Khan, Chengzhong Xu, Hans Vandierendonck and Anthony Savidis. Their work appears in journals such as Communications of the ACM, IEEE Communications Magazine and Computer.

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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