Ioannis Sourdis

1.5k total citations
72 papers, 954 citations indexed

About

Ioannis Sourdis is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Ioannis Sourdis has authored 72 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 48 papers in Hardware and Architecture and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Ioannis Sourdis's work include Interconnection Networks and Systems (28 papers), Parallel Computing and Optimization Techniques (28 papers) and Embedded Systems Design Techniques (14 papers). Ioannis Sourdis is often cited by papers focused on Interconnection Networks and Systems (28 papers), Parallel Computing and Optimization Techniques (28 papers) and Embedded Systems Design Techniques (14 papers). Ioannis Sourdis collaborates with scholars based in Sweden, Netherlands and Greece. Ioannis Sourdis's co-authors include Dionisios Pnevmatikatos, Stamatis Vassiliadis, Christos Strydis, João Bispo, João M. P. Cardoso, Pedro Trancoso, Vassilis Papaefstathiou, Chris I. De Zeeuw, S. Vassiliadis and Georgi Gaydadjiev and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Journal of Neural Engineering and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Ioannis Sourdis

68 papers receiving 896 citations

Peers

Ioannis Sourdis
Comparison fields: 5 of 55
  • Hardware and Architecture 681
  • Computer Networks and Communications 605
  • Artificial Intelligence 378
  • Electrical and Electronic Engineering 176
  • Information Systems 117
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Citations per field, relative to Ioannis Sourdis
Ioannis Sourdis · 1×
Citations per year, relative to Ioannis Sourdis
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Countries citing papers authored by Ioannis Sourdis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Sourdis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Sourdis

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Sourdis. A scholar is included among the top collaborators of Ioannis Sourdis 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 Ioannis Sourdis. Ioannis Sourdis 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 0
3 26
4 6
5 5
6 2
7 13
8 9
9 23
10 9
11 26
12 12
13 31
14 3
15 3
16 1
17
Scalable Multigigabit Pattern Matching for Packet Inspection
0
18 14
19 76
20 181

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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