Monika Rauch
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Signal Processing
- Co-authors
- Robert E. TarjanBrandon DixonSairam SubramanianPhilip N. KleinSatish RaoKurt MehlhornSubhash SuriJohn Hershberger
- Topics
- Complexity and Algorithms in Graphs (4 papers)Interconnection Networks and Systems (3 papers)Algorithms and Data Compression (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- United StatesGermany
In The Last Decade
Monika Rauch
8 papers receiving 169 citations
Peers
Comparison fields: 5 of 29
- Computational Theory and Mathematics 134
- Computer Networks and Communications 114
- Artificial Intelligence 54
- Computer Graphics and Computer-Aided Design 37
- Signal Processing 28
Countries citing papers authored by Monika Rauch
This map shows the geographic impact of Monika Rauch'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 Monika Rauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Rauch more than expected).
Fields of papers citing papers by Monika Rauch
This network shows the impact of papers produced by Monika Rauch. 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 Monika Rauch. The network helps show where Monika Rauch may publish in the future.
Co-authorship network of co-authors of Monika Rauch
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Rauch. A scholar is included among the top collaborators of Monika Rauch 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 Monika Rauch. Monika Rauch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 55 | |
| 5 | Fully dynamic graph algorithms and their data structures | 2 |
| 6 | 74 | |
| 7 | 29 | |
| 8 | 5 | |
| 9 | 3 |
About Monika Rauch
Monika Rauch is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 202 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Interconnection Networks and Systems (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (37 citations), Computational Theory and Mathematics (134 citations) and Computer Networks and Communications (114 citations). Monika Rauch has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert E. Tarjan, Brandon Dixon, Sairam Subramanian, Philip N. Klein, Satish Rao, Kurt Mehlhorn, Subhash Suri, John Hershberger, P. Toliver and M.S. Goodman. Their work appears in journals such as SIAM Journal on Computing and Theoretical Computer Science.
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.