Wilfried Jakob
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Mechanical Engineering
- Co-authors
- Christian BlumeM. Gorges-SchleuterHüseyin ÇakmakVeit HagenmeyerH. MaaßUwe KühnapfelCornelia BlumeRalf Mikut
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Distributed and Parallel Computing Systems (8 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Instrumentation and MeasurementEURASIP Journal on Advances in Signal ProcessingMicrosystem Technologies
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Wilfried Jakob
31 papers receiving 329 citations
Peers
Comparison fields: 5 of 68
- Control and Systems Engineering 117
- Electrical and Electronic Engineering 114
- Artificial Intelligence 106
- Computational Theory and Mathematics 67
- Mechanical Engineering 51
Countries citing papers authored by Wilfried Jakob
This map shows the geographic impact of Wilfried Jakob'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 Wilfried Jakob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfried Jakob more than expected).
Fields of papers citing papers by Wilfried Jakob
This network shows the impact of papers produced by Wilfried Jakob. 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 Wilfried Jakob. The network helps show where Wilfried Jakob may publish in the future.
Co-authorship network of co-authors of Wilfried Jakob
This figure shows the co-authorship network connecting the top 25 collaborators of Wilfried Jakob. A scholar is included among the top collaborators of Wilfried Jakob 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 Wilfried Jakob. Wilfried Jakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 86 | |
| 5 | 23 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | GORBA: A Global Optimising Resource Broker Embedded in a Grid Resource Management System. | 7 |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | Application of Genetic Algorithms to Task Planning and Learning. | 53 |
| 18 | 41 | |
| 19 | 8 | |
| 20 | 0 |
About Wilfried Jakob
Wilfried Jakob is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 34 papers that have together received 367 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Distributed and Parallel Computing Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (117 citations), Computational Theory and Mathematics (67 citations) and Industrial and Manufacturing Engineering (39 citations). Wilfried Jakob has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Christian Blume, M. Gorges-Schleuter, Hüseyin Çakmak, Veit Hagenmeyer, H. Maaß, Uwe Kühnapfel, Cornelia Blume, Ralf Mikut, Felix Bach and Ingo Sieber. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, EURASIP Journal on Advances in Signal Processing and Microsystem Technologies.
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.