Karl Meinke
- Artificial Intelligence
- Software top 5%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Muddassar Azam SindhuAmel BennaceurSigrid EldhDimitra GiannakopoulouDeJiu ChenFredrik AsplundReiner HähnleYuri Gurevich
- Topics
- Software Testing and Debugging Techniques (8 papers)Machine Learning and Algorithms (7 papers)Formal Methods in Verification (6 papers)
- Journals
- BMC BioinformaticsIEEE Transactions on Intelligent Transportation SystemsTheoretical Computer Science
- Partner nations
- SwedenUnited KingdomChina
In The Last Decade
Karl Meinke
20 papers receiving 138 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 79
- Software 62
- Computational Theory and Mathematics 52
- Information Systems 45
- Computer Networks and Communications 28
Countries citing papers authored by Karl Meinke
This map shows the geographic impact of Karl Meinke'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 Karl Meinke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Meinke more than expected).
Fields of papers citing papers by Karl Meinke
This network shows the impact of papers produced by Karl Meinke. 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 Karl Meinke. The network helps show where Karl Meinke may publish in the future.
Co-authorship network of co-authors of Karl Meinke
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Meinke. A scholar is included among the top collaborators of Karl Meinke 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 Karl Meinke. Karl Meinke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 10 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | Correctness and Performance of an Incremental Learning Algorithm for Finite Automata | 3 |
| 12 | 0 | |
| 13 | Fault-tolerant algorithm of signal reconstruction in computer controlled systems | 1 |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Subdirect representation of higher-order algebras | 2 |
| 20 | 22 |
About Karl Meinke
Karl Meinke is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 24 papers that have together received 150 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Machine Learning and Algorithms (7 papers) and Formal Methods in Verification (6 papers). The work is most often cited by research in Software (62 citations), Computational Theory and Mathematics (52 citations) and Artificial Intelligence (79 citations). Karl Meinke has collaborated with scholars based in Sweden, United Kingdom and China. Frequent co-authors include Muddassar Azam Sindhu, Amel Bennaceur, Sigrid Eldh, Dimitra Giannakopoulou, DeJiu Chen, Fredrik Asplund, Reiner Hähnle, Yuri Gurevich, Rachael V. Sugars and Michael Hanus. Their work appears in journals such as BMC Bioinformatics, IEEE Transactions on Intelligent Transportation Systems 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.