Almudena Konrad
About
In The Last Decade
Almudena Konrad
12 papers receiving 385 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 383
- Electrical and Electronic Engineering 292
- Signal Processing 46
- Computer Vision and Pattern Recognition 43
- Artificial Intelligence 22
Countries citing papers authored by Almudena Konrad
This map shows the geographic impact of Almudena Konrad'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 Almudena Konrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Almudena Konrad more than expected).
Fields of papers citing papers by Almudena Konrad
This network shows the impact of papers produced by Almudena Konrad. 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 Almudena Konrad. The network helps show where Almudena Konrad may publish in the future.
Co-authorship network of co-authors of Almudena Konrad
This figure shows the co-authorship network connecting the top 25 collaborators of Almudena Konrad. A scholar is included among the top collaborators of Almudena Konrad 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 Almudena Konrad. Almudena Konrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 157 | |
| 7 | Tapas: a research paradigm for the modeling, prediction and analysis of non-stationary network behavior | 0 |
| 8 | 31 | |
| 9 | 65 | |
| 10 | 50 | |
| 11 | 54 | |
| 12 | 45 | |
| 13 | 6 |
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.