Matti Waris
About
In The Last Decade
Matti Waris
173 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 146
- Epidemiology 4.9k
- Infectious Diseases 2.0k
- Pulmonary and Respiratory Medicine 1.8k
- Physiology 887
- Cardiology and Cardiovascular Medicine 839
Countries citing papers authored by Matti Waris
This map shows the geographic impact of Matti Waris'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 Matti Waris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matti Waris more than expected).
Fields of papers citing papers by Matti Waris
This network shows the impact of papers produced by Matti Waris. 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 Matti Waris. The network helps show where Matti Waris may publish in the future.
Co-authorship network of co-authors of Matti Waris
This figure shows the co-authorship network connecting the top 25 collaborators of Matti Waris. A scholar is included among the top collaborators of Matti Waris 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 Matti Waris. Matti Waris 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 74 | |
| 9 | 8 | |
| 10 | 41 | |
| 11 | 24 | |
| 12 | 29 | |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 78 | |
| 16 | 24 | |
| 17 | 130 | |
| 18 | 70 | |
| 19 | 42 | |
| 20 | 319 |
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.