Anna-Lena Trautmann
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Discrete Mathematics and Combinatorics top 10%
- Cognitive Neuroscience
- Co-authors
- Joachim RosenthalNatalia SilbersteinEilif MüllerSrikanth RamaswamyMichael ReimannHenry MarkramDavid KarpukRagnar Freij-Hollanti
- Topics
- Coding theory and cryptography (20 papers)Cooperative Communication and Network Coding (10 papers)graph theory and CDMA systems (7 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Anna-Lena Trautmann
21 papers receiving 224 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 177
- Computer Networks and Communications 160
- Electrical and Electronic Engineering 115
- Discrete Mathematics and Combinatorics 42
- Cognitive Neuroscience 25
Countries citing papers authored by Anna-Lena Trautmann
This map shows the geographic impact of Anna-Lena Trautmann'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 Anna-Lena Trautmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna-Lena Trautmann more than expected).
Fields of papers citing papers by Anna-Lena Trautmann
This network shows the impact of papers produced by Anna-Lena Trautmann. 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 Anna-Lena Trautmann. The network helps show where Anna-Lena Trautmann may publish in the future.
Co-authorship network of co-authors of Anna-Lena Trautmann
This figure shows the co-authorship network connecting the top 25 collaborators of Anna-Lena Trautmann. A scholar is included among the top collaborators of Anna-Lena Trautmann 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 Anna-Lena Trautmann. Anna-Lena Trautmann 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 40 | |
| 13 | 2 | |
| 14 | The Predictable Leading Monomial Property for Linearized Polynomials and Gabidulin List-Decoding. | 1 |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 15 | |
| 19 | 8 | |
| 20 | 24 |
About Anna-Lena Trautmann
Anna-Lena Trautmann is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Networks and Communications, having authored 23 papers that have together received 234 indexed citations. Recurring topics across this work include Coding theory and cryptography (20 papers), Cooperative Communication and Network Coding (10 papers) and graph theory and CDMA systems (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (42 citations), Computer Networks and Communications (160 citations) and Artificial Intelligence (177 citations). Anna-Lena Trautmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Joachim Rosenthal, Natalia Silberstein, Eilif Müller, Srikanth Ramaswamy, Michael Reimann, Henry Markram, David Karpuk, Ragnar Freij-Hollanti, Camilla Hollanti and Oliver W. Gnilke. Their work appears in journals such as IEEE Transactions on Information Theory, Cerebral Cortex and Linear Algebra and its Applications.
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.