Spyridon Mastorakis

50 papers receiving 1.4k citations

Hit Papers

On the Evolution of ndnSIM20172026202020232017202250100150200

Peers

Spyridon Mastorakis
Comparison fields: 5 of 83
  • Computer Networks and Communications 1.1k
  • Information Systems 333
  • Artificial Intelligence 292
  • Electrical and Electronic Engineering 225
  • Computer Vision and Pattern Recognition 106
Replace Amirreza Niakanlahiji with:
Amirreza Niakanlahiji United States
Hailiang Zhao China
Zhipeng Gao China
Dimitrios P. Pezaros United Kingdom
Abhishek Hazra India
Sara Ayoubi Canada
Sandeep Sharma India
Erkki Harjula Finland
Mohammad Sadegh Aslanpour Australia
Kewei Sha United States
Spyridon Mastorakis relative to Amirreza Niakanlahiji United States Amirreza Niakanlahiji's profile →
Citations per field
00.5×3.3×
Amirreza Niakanlahiji · 1×
Citations per year

Countries citing papers authored by Spyridon Mastorakis

Since Specialization
Citations

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

Fields of papers citing papers by Spyridon Mastorakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spyridon Mastorakis

This figure shows the co-authorship network connecting the top 25 collaborators of Spyridon Mastorakis. A scholar is included among the top collaborators of Spyridon Mastorakis 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 Spyridon Mastorakis. Spyridon Mastorakis 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
1 3
2 2
3 0
4 0
5 0
6 10
7 5
8 49
9 33
10 18
11 12
12 16
13 36
14 10
15 28
16 50
17 70
18 28
19 48
20 14

About Spyridon Mastorakis

Spyridon Mastorakis is a scholar working on Computer Networks and Communications, Information Systems and Physical Therapy, Sports Therapy and Rehabilitation, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Caching and Content Delivery (30 papers), IoT and Edge/Fog Computing (16 papers) and Opportunistic and Delay-Tolerant Networks (14 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (333 citations) and Artificial Intelligence (292 citations). Spyridon Mastorakis has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Lixia Zhang, Alexander Afanasyev, Mian Ahmad Jan, Abderrahmen Mtibaa, Fazlullah Khan, Boubakr Nour, Mamoun Alazab, Paul Watters, Yingdi Yu and Gautam Srivastava. Their work appears in journals such as IEEE Communications Magazine, ACM Computing Surveys and IEEE Transactions on Industrial Informatics.

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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