Michael R. Leuze
- Molecular Biology
- Ecology top 10%
- Artificial Intelligence top 10%
- Plant Science
- Computational Theory and Mathematics top 5%
- Co-authors
- Tatiana V. KarpinetsEdward C. UberbacherMustafa SyedByung H. ParkDavid W. UsserySe‐Ran JunIntawat NookaewMiriam Land
- Topics
- Genomics and Phylogenetic Studies (7 papers)Interconnection Networks and Systems (5 papers)Matrix Theory and Algorithms (4 papers)
- Partner nations
- United StatesDenmarkArgentina
In The Last Decade
Michael R. Leuze
31 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 627
- Ecology 210
- Artificial Intelligence 170
- Plant Science 162
- Computational Theory and Mathematics 114
Countries citing papers authored by Michael R. Leuze
This map shows the geographic impact of Michael R. Leuze'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 Michael R. Leuze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Leuze more than expected).
Fields of papers citing papers by Michael R. Leuze
This network shows the impact of papers produced by Michael R. Leuze. 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 Michael R. Leuze. The network helps show where Michael R. Leuze may publish in the future.
Co-authorship network of co-authors of Michael R. Leuze
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Leuze. A scholar is included among the top collaborators of Michael R. Leuze 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 Michael R. Leuze. Michael R. Leuze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 60 | |
| 5 | Insights from 20 years of bacterial genome sequencingbreakdown → | 458 |
| 6 | 38 | |
| 7 | 253 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 101 | |
| 12 | 15 | |
| 13 | 55 | |
| 14 | Using a segregation measure for the workload characterization of multi-class queuing networks | 1 |
| 15 | A theoretical investigation of a parallel genetic algorithm | 53 |
| 16 | 3 | |
| 17 | A parallel genetic algorithm | 122 |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 1 |
About Michael R. Leuze
Michael R. Leuze is a scholar working on Hardware and Architecture, Numerical Analysis and Computational Theory and Mathematics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Interconnection Networks and Systems (5 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Biotechnology (91 citations), Endocrinology (47 citations) and Molecular Biology (627 citations). Michael R. Leuze has collaborated with scholars based in United States, Denmark and Argentina. Frequent co-authors include Tatiana V. Karpinets, Edward C. Uberbacher, Mustafa Syed, Byung H. Park, David W. Ussery, Se‐Ran Jun, Intawat Nookaew, Miriam Land, Trudy M. Wassenaar and John J. Grefenstette. Their work appears in journals such as Bioinformatics, Scientific Reports and Journal of Nutrition.
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.