Maciej Kurant
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 2%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Co-authors
- Patrick ThiranAthina MarkopoulouMinas GjokaCarter T. ButtsPatric HagmannXavier GigandetReto MeuliJean‐Philippe Thiran
- Topics
- Complex Network Analysis Techniques (15 papers)Caching and Content Delivery (9 papers)Network Traffic and Congestion Control (4 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Maciej Kurant
33 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Statistical and Nonlinear Physics 1.1k
- Computer Networks and Communications 668
- Cognitive Neuroscience 504
- Radiology, Nuclear Medicine and Imaging 439
- Artificial Intelligence 404
Countries citing papers authored by Maciej Kurant
This map shows the geographic impact of Maciej Kurant'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 Maciej Kurant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Kurant more than expected).
Fields of papers citing papers by Maciej Kurant
This network shows the impact of papers produced by Maciej Kurant. 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 Maciej Kurant. The network helps show where Maciej Kurant may publish in the future.
Co-authorship network of co-authors of Maciej Kurant
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Kurant. A scholar is included among the top collaborators of Maciej Kurant 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 Maciej Kurant. Maciej Kurant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 12 | |
| 3 | 16 | |
| 4 | 10 | |
| 5 | 24 | |
| 6 | 19 | |
| 7 | 163 | |
| 8 | 16 | |
| 9 | 72 | |
| 10 | 98 | |
| 11 | Unbiased Sampling of Facebook | 8 |
| 12 | 25 | |
| 13 | Mapping Human Whole-Brain Structural Networks with Diffusion MRIbreakdown → | 595 |
| 14 | 67 | |
| 15 | Mapping Human Whole-Brain Structural Networks with | 0 |
| 16 | 145 | |
| 17 | 297 | |
| 18 | Imaging the Brain Neuronal Network with Diffusion MRI: A Way to Understand Its Global Architecture | 8 |
| 19 | Extracting the Traffic Flows and the Physical Graphs from Timetables | 1 |
| 20 | 5 |
About Maciej Kurant
Maciej Kurant is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Transportation, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Caching and Content Delivery (9 papers) and Network Traffic and Congestion Control (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Transportation (218 citations) and Computer Networks and Communications (668 citations). Maciej Kurant has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Patrick Thiran, Athina Markopoulou, Minas Gjoka, Carter T. Butts, Patric Hagmann, Xavier Gigandet, Reto Meuli, Jean‐Philippe Thiran, Van J. Wedeen and Franck Legendre. Their work appears in journals such as Physical Review Letters, PLoS ONE and IEEE Transactions on Signal Processing.
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.