Jan Himmelspach
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 5%
- Information Systems and Management top 2%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Co-authors
- Adelinde M. UhrmacherRoland EwaldWentong CaiKurt VanmechelenFiete HaackS. A. ZinnJutta GampeCarsten Maus
- Topics
- Simulation Techniques and Applications (42 papers)Distributed and Parallel Computing Systems (16 papers)Scientific Computing and Data Management (13 papers)
- Journals
- Briefings in BioinformaticsApplied Artificial IntelligenceJournal of Artificial Societies and Social Simulation
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Jan Himmelspach
49 papers receiving 566 citations
Peers
Comparison fields: 5 of 63
- Management Science and Operations Research 433
- Computer Networks and Communications 265
- Information Systems and Management 160
- Molecular Biology 102
- Computational Theory and Mathematics 84
Countries citing papers authored by Jan Himmelspach
This map shows the geographic impact of Jan Himmelspach'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 Jan Himmelspach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Himmelspach more than expected).
Fields of papers citing papers by Jan Himmelspach
This network shows the impact of papers produced by Jan Himmelspach. 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 Jan Himmelspach. The network helps show where Jan Himmelspach may publish in the future.
Co-authorship network of co-authors of Jan Himmelspach
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Himmelspach. A scholar is included among the top collaborators of Jan Himmelspach 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 Jan Himmelspach. Jan Himmelspach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 34 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | Modeling, Simulation and Games. | 1 |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 0 |
About Jan Himmelspach
Jan Himmelspach is a scholar working on Management Science and Operations Research, Information Systems and Management and Computer Networks and Communications, having authored 51 papers that have together received 588 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (42 papers), Distributed and Parallel Computing Systems (16 papers) and Scientific Computing and Data Management (13 papers). The work is most often cited by research in Management Science and Operations Research (433 citations), Information Systems and Management (160 citations) and Software (73 citations). Jan Himmelspach has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Adelinde M. Uhrmacher, Roland Ewald, Wentong Cai, Kurt Vanmechelen, Fiete Haack, S. A. Zinn, Jutta Gampe, Carsten Maus, Dan Chen and Georgios Theodoropoulos. Their work appears in journals such as Briefings in Bioinformatics, Applied Artificial Intelligence and Journal of Artificial Societies and Social Simulation.
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.