Alexandru Coman
About
In The Last Decade
Alexandru Coman
10 papers receiving 363 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 183
- Computer Networks and Communications 142
- Computer Vision and Pattern Recognition 139
- Information Systems 91
- Signal Processing 53
Countries citing papers authored by Alexandru Coman
This map shows the geographic impact of Alexandru Coman'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 Alexandru Coman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandru Coman more than expected).
Fields of papers citing papers by Alexandru Coman
This network shows the impact of papers produced by Alexandru Coman. 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 Alexandru Coman. The network helps show where Alexandru Coman may publish in the future.
Co-authorship network of co-authors of Alexandru Coman
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandru Coman. A scholar is included among the top collaborators of Alexandru Coman 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 Alexandru Coman. Alexandru Coman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 15 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 29 | |
| 7 | 39 | |
| 8 | Associative Classifiers for Medical Images | 6 |
| 9 | Mammography classification by an association rule-based classifier | 69 |
| 10 | Application of data mining techniques for medical image classification | 198 |
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.