J. Muskens
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Software top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Michel R. V. ChaudronChristian F. J. LangeEgor BondarevL. SchmittJJ Johan LukkienPeter de WithReinder J. BrilAndrew Tokmakoff
- Topics
- Advanced Software Engineering Methodologies (12 papers)Software Engineering Research (6 papers)Software System Performance and Reliability (5 papers)
- Partner nations
- NetherlandsFinlandIndia
In The Last Decade
J. Muskens
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 212
- Information Systems 192
- Computer Networks and Communications 156
- Software 138
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by J. Muskens
This map shows the geographic impact of J. Muskens'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 J. Muskens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Muskens more than expected).
Fields of papers citing papers by J. Muskens
This network shows the impact of papers produced by J. Muskens. 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 J. Muskens. The network helps show where J. Muskens may publish in the future.
Co-authorship network of co-authors of J. Muskens
This figure shows the co-authorship network connecting the top 25 collaborators of J. Muskens. A scholar is included among the top collaborators of J. Muskens 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 J. Muskens. J. Muskens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 19 | |
| 3 | 27 | |
| 4 | 19 | |
| 5 | 102 | |
| 6 | 24 | |
| 7 | Finding inconsistencies between views using relation partition algebra | 1 |
| 8 | 30 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 6 | |
| 15 | Scenario-based prediction of run-time resource consumption in component-based software systems | 23 |
| 16 | An empirical investigation in quantifying inconsistency and incompleteness of UML designs | 23 |
| 17 | Software Architecture Analysis Tool Software Architecture Metrics Collection | 5 |
About J. Muskens
J. Muskens is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 17 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (12 papers), Software Engineering Research (6 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Software (138 citations), Information Systems (192 citations) and Computer Networks and Communications (156 citations). J. Muskens has collaborated with scholars based in Netherlands, Finland and India. Frequent co-authors include Michel R. V. Chaudron, Christian F. J. Lange, Egor Bondarev, L. Schmitt, JJ Johan Lukkien, Peter de With, Reinder J. Bril, Andrew Tokmakoff, Gabriele Lenzini and Milan Petković. Their work appears in journals such as Computer, IEEE Software and Electronic Notes in Theoretical Computer Science.
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.