Miguel Matos
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Co-authors
- Rui OliveiraLuı́s RodriguesJosé PereiraJoão PauloValerio SchiavoniPascal FelberÉtienne RivièreCarlos Montez
- Topics
- Peer-to-Peer Network Technologies (19 papers)Cloud Computing and Resource Management (12 papers)Caching and Content Delivery (12 papers)
- Journals
- IEEE AccessIEEE Transactions on Parallel and Distributed SystemsJournal of Parallel and Distributed Computing
- Partner nations
- PortugalSwitzerlandBrazil
In The Last Decade
Miguel Matos
35 papers receiving 229 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 196
- Information Systems 148
- Artificial Intelligence 43
- Hardware and Architecture 15
- Computer Vision and Pattern Recognition 13
Countries citing papers authored by Miguel Matos
This map shows the geographic impact of Miguel Matos'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 Miguel Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Matos more than expected).
Fields of papers citing papers by Miguel Matos
This network shows the impact of papers produced by Miguel Matos. 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 Miguel Matos. The network helps show where Miguel Matos may publish in the future.
Co-authorship network of co-authors of Miguel Matos
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Matos. A scholar is included among the top collaborators of Miguel Matos 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 Miguel Matos. Miguel Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 46 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | StAN: exploiting shared interests without disclosing them in gossip-based publish/subscribe | 11 |
| 18 | 4 | |
| 19 | Self tuning with self confidence | 2 |
| 20 | 4 |
About Miguel Matos
Miguel Matos is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 40 papers that have together received 241 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (19 papers), Cloud Computing and Resource Management (12 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Information Systems (148 citations) and Hardware and Architecture (15 citations). Miguel Matos has collaborated with scholars based in Portugal, Switzerland and Brazil. Frequent co-authors include Rui Oliveira, Luı́s Rodrigues, José Pereira, João Paulo, Valerio Schiavoni, Pascal Felber, Étienne Rivière, Carlos Montez, Rodrigo Rodrigues and Pierre Sutra. Their work appears in journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.
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.