Carlos Colman-Meixner
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Massimo TornatoreBiswanath MukherjeeChris DevelderYongli ZhaoDimitra SimeonidouReza NejabatiYuan CaoJie Zhang
- Topics
- Software-Defined Networks and 5G (15 papers)IoT and Edge/Fog Computing (8 papers)Cloud Computing and Resource Management (7 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsElectrical and Electronic Engineering
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Carlos Colman-Meixner
23 papers receiving 570 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 384
- Electrical and Electronic Engineering 232
- Information Systems 146
- Artificial Intelligence 116
- Atomic and Molecular Physics, and Optics 41
Countries citing papers authored by Carlos Colman-Meixner
This map shows the geographic impact of Carlos Colman-Meixner'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 Carlos Colman-Meixner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Colman-Meixner more than expected).
Fields of papers citing papers by Carlos Colman-Meixner
This network shows the impact of papers produced by Carlos Colman-Meixner. 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 Carlos Colman-Meixner. The network helps show where Carlos Colman-Meixner may publish in the future.
Co-authorship network of co-authors of Carlos Colman-Meixner
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Colman-Meixner. A scholar is included among the top collaborators of Carlos Colman-Meixner 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 Carlos Colman-Meixner. Carlos Colman-Meixner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 36 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 38 | |
| 6 | A game theory approach for protecting 5G control plane from DDoS signalling attacks | 1 |
| 7 | 32 | |
| 8 | 20 | |
| 9 | 76 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 79 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | 0 | |
| 20 | Disaster-resilient virtual-network mapping and adaptation in optical networks | 34 |
About Carlos Colman-Meixner
Carlos Colman-Meixner is a scholar working on Computer Networks and Communications, Media Technology and Information Systems, having authored 24 papers that have together received 581 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (15 papers), IoT and Edge/Fog Computing (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (384 citations), Information Systems (146 citations) and Electrical and Electronic Engineering (232 citations). Carlos Colman-Meixner has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Massimo Tornatore, Biswanath Mukherjee, Chris Develder, Yongli Zhao, Dimitra Simeonidou, Reza Nejabati, Yuan Cao, Jie Zhang, Xiaosong Yu and Wei Wang. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Optics Express and IEEE Access.
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.