Mark Verwoerd
- Computer Networks and Communications top 5%
- Molecular Biology
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Oliver MasonVahid BokharaieGjerrit MeinsmaP.E. WellsteadTheo J.A. de VriesEric BullingerKevin L. MooreBarak A. Pearlmutter
- Topics
- Nonlinear Dynamics and Pattern Formation (7 papers)Iterative Learning Control Systems (6 papers)Advanced Surface Polishing Techniques (3 papers)
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringStatistical and Nonlinear Physics
- Partner nations
- IrelandNetherlandsUnited States
In The Last Decade
Mark Verwoerd
16 papers receiving 562 citations
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 201
- Molecular Biology 200
- Control and Systems Engineering 162
- Biomedical Engineering 99
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Mark Verwoerd
This map shows the geographic impact of Mark Verwoerd'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 Mark Verwoerd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Verwoerd more than expected).
Fields of papers citing papers by Mark Verwoerd
This network shows the impact of papers produced by Mark Verwoerd. 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 Mark Verwoerd. The network helps show where Mark Verwoerd may publish in the future.
Co-authorship network of co-authors of Mark Verwoerd
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Verwoerd. A scholar is included among the top collaborators of Mark Verwoerd 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 Mark Verwoerd. Mark Verwoerd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 57 | |
| 5 | 57 | |
| 6 | 41 | |
| 7 | 10 | |
| 8 | 32 | |
| 9 | 61 | |
| 10 | 259 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 14 |
About Mark Verwoerd
Mark Verwoerd is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Modeling and Simulation, having authored 17 papers that have together received 598 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Iterative Learning Control Systems (6 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (201 citations), Control and Systems Engineering (162 citations) and Statistical and Nonlinear Physics (69 citations). Mark Verwoerd has collaborated with scholars based in Ireland, Netherlands and United States. Frequent co-authors include Oliver Mason, Vahid Bokharaie, Gjerrit Meinsma, P.E. Wellstead, Theo J.A. de Vries, Eric Bullinger, Kevin L. Moore, Barak A. Pearlmutter, Richard H. Middleton and Míriam R. García. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Computers & Structures.
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.