Josef Schwarz
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Spectroscopy
- Computer Networks and Communications
- Co-authors
- Jiří OčenášekJiří JarošAndrew ThompsonGünter SchmidtKarsten KuhnStefan KienleJürgen SchäferThomas Neumann
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (5 papers)Bayesian Modeling and Causal Inference (3 papers)
- Journals
- Analytical ChemistryChemische BerichteResearch Repository UCD (University College Dublin)
In The Last Decade
Josef Schwarz
14 papers receiving 185 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 97
- Molecular Biology 48
- Computational Theory and Mathematics 47
- Spectroscopy 46
- Computer Networks and Communications 22
Countries citing papers authored by Josef Schwarz
This map shows the geographic impact of Josef Schwarz'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 Josef Schwarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Schwarz more than expected).
Fields of papers citing papers by Josef Schwarz
This network shows the impact of papers produced by Josef Schwarz. 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 Josef Schwarz. The network helps show where Josef Schwarz may publish in the future.
Co-authorship network of co-authors of Josef Schwarz
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Schwarz. A scholar is included among the top collaborators of Josef Schwarz 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 Josef Schwarz. Josef Schwarz 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 | 3 | |
| 3 | 5 | |
| 4 | Parallel Genetic Algorithm Solving 0/1 Knapsack Problem Running on the GPU | 28 |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 55 | |
| 12 | Trpělivě obnošené tělo | 0 |
| 13 | 8 | |
| 14 | Estimation Distribution Algorithm for mixed continuous-discrete optimization problems | 52 |
| 15 | 5 |
About Josef Schwarz
Josef Schwarz is a scholar working on Artificial Intelligence, Statistics and Probability and Pharmaceutical Science, having authored 15 papers that have together received 193 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Artificial Intelligence (97 citations), Computational Theory and Mathematics (47 citations) and Spectroscopy (46 citations). Josef Schwarz has collaborated with scholars based in Czechia, Ireland and Germany. Frequent co-authors include Jiří Očenášek, Jiří Jaroš, Andrew Thompson, Günter Schmidt, Karsten Kuhn, Stefan Kienle, Jürgen Schäfer, Thomas Neumann, Helmut Schwarz and Miloslav Ohlídal. Their work appears in journals such as Analytical Chemistry, Chemische Berichte and Research Repository UCD (University College Dublin).
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.