Andrzej Janusz
About
In The Last Decade
Andrzej Janusz
48 papers receiving 550 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 309
- Computational Theory and Mathematics 188
- Information Systems 164
- Signal Processing 100
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Andrzej Janusz
This map shows the geographic impact of Andrzej Janusz'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 Andrzej Janusz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Janusz more than expected).
Fields of papers citing papers by Andrzej Janusz
This network shows the impact of papers produced by Andrzej Janusz. 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 Andrzej Janusz. The network helps show where Andrzej Janusz may publish in the future.
Co-authorship network of co-authors of Andrzej Janusz
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Janusz. A scholar is included among the top collaborators of Andrzej Janusz 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 Andrzej Janusz. Andrzej Janusz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 41 | |
| 14 | 30 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 101 | |
| 18 | Semantic tagging of heterogeneous data: Labeling Fire&Rescue incidents with threats | 4 |
| 19 | Utilization of attribute clustering methods for scalable computation of reducts from high-dimensional data | 10 |
| 20 | Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj (eds.) | 1 |
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.