Serge Demeyer
About
In The Last Decade
Serge Demeyer
151 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 90
- Information Systems 3.4k
- Software 2.2k
- Artificial Intelligence 1.2k
- Computer Networks and Communications 970
- Signal Processing 569
Countries citing papers authored by Serge Demeyer
This map shows the geographic impact of Serge Demeyer'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 Serge Demeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serge Demeyer more than expected).
Fields of papers citing papers by Serge Demeyer
This network shows the impact of papers produced by Serge Demeyer. 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 Serge Demeyer. The network helps show where Serge Demeyer may publish in the future.
Co-authorship network of co-authors of Serge Demeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Serge Demeyer. A scholar is included among the top collaborators of Serge Demeyer 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 Serge Demeyer. Serge Demeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | Test Amplification in the Pharo Smalltalk Ecosystem | 1 |
| 8 | 8 | |
| 9 | 48 | |
| 10 | "in vivo" Research in Software Evolution. | 1 |
| 11 | 2 | |
| 12 | 104 | |
| 13 | Experimentally investigating the effectiveness and effort of modeling conventions for the UML | 2 |
| 14 | 1 | |
| 15 | Does God Class Decomposition Affect Comprehensibility | 30 |
| 16 | 114 | |
| 17 | Evaluating Clone Detection Techniques | 31 |
| 18 | 6 | |
| 19 | A hybrid reverse engineering platform combining metrics and program visualization | 44 |
| 20 | 28 |
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.