Martı́n Varela
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Sociology and Political Science top 10%
- Signal Processing top 5%
- Co-authors
- Lea Skorin‐KapovTobias HoßfeldPoul E. HeegaardRaimund SchatzChristian TimmererGerardo RubinoSebastian MöllerJanne Seppänen
- Topics
- Image and Video Quality Assessment (35 papers)Network Traffic and Congestion Control (17 papers)Multimedia Communication and Technology (10 papers)
In The Last Decade
Martı́n Varela
46 papers receiving 852 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 563
- Computer Networks and Communications 435
- Electrical and Electronic Engineering 188
- Sociology and Political Science 163
- Signal Processing 144
Countries citing papers authored by Martı́n Varela
This map shows the geographic impact of Martı́n Varela'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 Martı́n Varela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martı́n Varela more than expected).
Fields of papers citing papers by Martı́n Varela
This network shows the impact of papers produced by Martı́n Varela. 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 Martı́n Varela. The network helps show where Martı́n Varela may publish in the future.
Co-authorship network of co-authors of Martı́n Varela
This figure shows the co-authorship network connecting the top 25 collaborators of Martı́n Varela. A scholar is included among the top collaborators of Martı́n Varela 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 Martı́n Varela. Martı́n Varela 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 | 16 | |
| 3 | 5 | |
| 4 | Acompañar la docencia en la escuela: retos y respuestas. | 0 |
| 5 | 7 | |
| 6 | 23 | |
| 7 | 83 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | A multi-dimensional view of QoE: the ARCU model | 38 |
| 16 | 150 | |
| 17 | A systematic study of PESQ’s behavior(from a networking perspective) | 11 |
| 18 | A Systematic Study of PESQ's Performance (from a Networking Perspective) | 2 |
| 19 | 10 | |
| 20 | 41 |
About Martı́n Varela
Martı́n Varela is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 49 papers that have together received 894 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (35 papers), Network Traffic and Congestion Control (17 papers) and Multimedia Communication and Technology (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (563 citations), Computer Networks and Communications (435 citations) and Signal Processing (144 citations). Martı́n Varela has collaborated with scholars based in Finland, Germany and Norway. Frequent co-authors include Lea Skorin‐Kapov, Tobias Hoßfeld, Poul E. Heegaard, Raimund Schatz, Christian Timmerer, Gerardo Rubino, Sebastian Möller, Janne Seppänen, Samir A. Elsagheer Mohamed and Peter Reichl. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Letters and Computer Networks.
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.