Nikitas Liogkas
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Eddie KohlerLixia ZhangArnaud LegoutRobert E. NelsonRupak MajumdarVenkata N. PadmanabhanBlair MacIntyreYannis Smaragdakis
- Topics
- Peer-to-Peer Network Technologies (6 papers)Caching and Content Delivery (5 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
- Journals
- IEEE Pervasive ComputingACM SIGMETRICS Performance Evaluation ReviewConcurrency and Computation Practice and Experience
- Partner nations
- United StatesFranceLebanon
In The Last Decade
Nikitas Liogkas
9 papers receiving 139 citations
Peers
Comparison fields: 5 of 21
- Computer Networks and Communications 134
- Artificial Intelligence 33
- Information Systems 18
- Sociology and Political Science 12
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Nikitas Liogkas
This map shows the geographic impact of Nikitas Liogkas'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 Nikitas Liogkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikitas Liogkas more than expected).
Fields of papers citing papers by Nikitas Liogkas
This network shows the impact of papers produced by Nikitas Liogkas. 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 Nikitas Liogkas. The network helps show where Nikitas Liogkas may publish in the future.
Co-authorship network of co-authors of Nikitas Liogkas
This figure shows the co-authorship network connecting the top 25 collaborators of Nikitas Liogkas. A scholar is included among the top collaborators of Nikitas Liogkas 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 Nikitas Liogkas. Nikitas Liogkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 25 | |
| 5 | cooperative diagnosis of Web failures | 0 |
| 6 | 32 | |
| 7 | 5 | |
| 8 | Exploiting BitTorrent For Fun. | 41 |
| 9 | 11 | |
| 10 | Automatic Partitioning: A Promising Approach to Prototyping Ubiquitous Computing Applications | 3 |
About Nikitas Liogkas
Nikitas Liogkas is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Artificial Intelligence, having authored 10 papers that have together received 144 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Computer Networks and Communications (134 citations), Artificial Intelligence (33 citations) and Information Systems (18 citations). Nikitas Liogkas has collaborated with scholars based in United States, France and Lebanon. Frequent co-authors include Eddie Kohler, Lixia Zhang, Arnaud Legout, Robert E. Nelson, Rupak Majumdar, Venkata N. Padmanabhan, Blair MacIntyre, Yannis Smaragdakis, Chadi Barakat and Prashanth Mohan. Their work appears in journals such as IEEE Pervasive Computing, ACM SIGMETRICS Performance Evaluation Review and Concurrency and Computation Practice and Experience.
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.