Ionut Trestian
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Transportation top 5%
- Information Systems top 10%
- Co-authors
- Supranamaya RanjanAntonio NucciAleksandar KuzmanovicVijay ErramilliNikolaos LaoutarisKonstantina PapagiannakiZhen QinStefano Traverso
- Topics
- Opportunistic and Delay-Tolerant Networks (4 papers)Caching and Content Delivery (4 papers)Network Traffic and Congestion Control (3 papers)
- Journals
- IEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication ReviewIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ionut Trestian
10 papers receiving 285 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 222
- Artificial Intelligence 104
- Electrical and Electronic Engineering 78
- Transportation 68
- Information Systems 55
Countries citing papers authored by Ionut Trestian
This map shows the geographic impact of Ionut Trestian'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 Ionut Trestian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ionut Trestian more than expected).
Fields of papers citing papers by Ionut Trestian
This network shows the impact of papers produced by Ionut Trestian. 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 Ionut Trestian. The network helps show where Ionut Trestian may publish in the future.
Co-authorship network of co-authors of Ionut Trestian
This figure shows the co-authorship network connecting the top 25 collaborators of Ionut Trestian. A scholar is included among the top collaborators of Ionut Trestian 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 Ionut Trestian. Ionut Trestian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 26 | |
| 5 | 17 | |
| 6 | 122 | |
| 7 | 31 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 43 |
About Ionut Trestian
Ionut Trestian is a scholar working on Computer Networks and Communications, Transportation and Neurology, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (4 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Transportation (68 citations), Computer Networks and Communications (222 citations) and Artificial Intelligence (104 citations). Ionut Trestian has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Supranamaya Ranjan, Antonio Nucci, Aleksandar Kuzmanovic, Vijay Erramilli, Nikolaos Laoutaris, Konstantina Papagiannaki, Zhen Qin, Stefano Traverso, Amit Kumar Mondal and Kévin Huguenin. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Parallel and Distributed Systems.
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.