Diego Montero
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- M. YannuzziR. Serral-GraciàMario NemirovskyRodolfo MilitoJuan Luis Pérez-OrdóñezFrank van LingenDavid CarreraAnuj Kumar Jain
- Topics
- Internet Traffic Analysis and Secure E-voting (7 papers)IoT and Edge/Fog Computing (4 papers)Network Packet Processing and Optimization (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- SpainUnited StatesEcuador
In The Last Decade
Diego Montero
15 papers receiving 429 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 402
- Information Systems 133
- Electrical and Electronic Engineering 128
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 65
Countries citing papers authored by Diego Montero
This map shows the geographic impact of Diego Montero'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 Diego Montero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Montero more than expected).
Fields of papers citing papers by Diego Montero
This network shows the impact of papers produced by Diego Montero. 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 Diego Montero. The network helps show where Diego Montero may publish in the future.
Co-authorship network of co-authors of Diego Montero
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Montero. A scholar is included among the top collaborators of Diego Montero 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 Diego Montero. Diego Montero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SABES: Statistical Available Bandwidth EStimation from passive TCP measurements | 2 |
| 2 | 2 | |
| 3 | 65 | |
| 4 | 67 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 35 | |
| 9 | 212 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 |
About Diego Montero
Diego Montero is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 15 papers that have together received 448 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (7 papers), IoT and Edge/Fog Computing (4 papers) and Network Packet Processing and Optimization (4 papers). The work is most often cited by research in Computer Networks and Communications (402 citations), Information Systems (133 citations) and Computer Vision and Pattern Recognition (86 citations). Diego Montero has collaborated with scholars based in Spain, United States and Ecuador. Frequent co-authors include M. Yannuzzi, R. Serral-Gracià, Mario Nemirovsky, Rodolfo Milito, Juan Luis Pérez-Ordóñez, Frank van Lingen, David Carrera, Anuj Kumar Jain, Xavi Masip‐Bruin and Muhammad Shuaib Siddiqui. Their work appears in journals such as IEEE Communications Magazine, Computer Networks and IEEE Internet 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.