Marius Zimand
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Information Systems
- Statistics and Probability
- Signal Processing
- Co-authors
- Cristian S. CaludeLane A. HemaspaandraHelmut JürgensenM. O'LearyAlexander L. WijesinhaJason TeutschDan A. SimoviciEdith Hemaspaandra
- Topics
- Computability, Logic, AI Algorithms (25 papers)Algorithms and Data Compression (14 papers)semigroups and automata theory (10 papers)
- Partner nations
- United StatesRomaniaNew Zealand
In The Last Decade
Marius Zimand
36 papers receiving 138 citations
Peers
Comparison fields: 5 of 35
- Computational Theory and Mathematics 105
- Artificial Intelligence 85
- Information Systems 25
- Statistics and Probability 17
- Signal Processing 16
Countries citing papers authored by Marius Zimand
This map shows the geographic impact of Marius Zimand'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 Marius Zimand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Zimand more than expected).
Fields of papers citing papers by Marius Zimand
This network shows the impact of papers produced by Marius Zimand. 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 Marius Zimand. The network helps show where Marius Zimand may publish in the future.
Co-authorship network of co-authors of Marius Zimand
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Zimand. A scholar is included among the top collaborators of Marius Zimand 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 Marius Zimand. Marius Zimand 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 | 7 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | Computational Complexity: A Quantitative Perspective (North-Holland Mathematical Studies) | 3 |
| 10 | 4 | |
| 11 | Almost-Everywhere Superiority for Quantum Polynomial-Time Languages | 1 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | Strong Forms of Balanced Immunity | 2 |
| 19 | 1 | |
| 20 | 2 |
About Marius Zimand
Marius Zimand is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence, having authored 41 papers that have together received 153 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (25 papers), Algorithms and Data Compression (14 papers) and semigroups and automata theory (10 papers). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Artificial Intelligence (85 citations) and Statistics and Probability (17 citations). Marius Zimand has collaborated with scholars based in United States, Romania and New Zealand. Frequent co-authors include Cristian S. Calude, Lane A. Hemaspaandra, Helmut Jürgensen, M. O'Leary, Alexander L. Wijesinha, Jason Teutsch, Dan A. Simovici, Edith Hemaspaandra, Nikolay Vereshchagin and Ioan Tomescu. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing and Applied Mathematics and Computation.
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.