Alex Erendi
About
In The Last Decade
Alex Erendi
5 papers receiving 268 citations
Peers
Comparison fields: 5 of 49
- Geophysics 239
- Artificial Intelligence 143
- Mechanics of Materials 29
- Atmospheric Science 27
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Alex Erendi
This map shows the geographic impact of Alex Erendi'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 Alex Erendi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Erendi more than expected).
Fields of papers citing papers by Alex Erendi
This network shows the impact of papers produced by Alex Erendi. 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 Alex Erendi. The network helps show where Alex Erendi may publish in the future.
Co-authorship network of co-authors of Alex Erendi
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Erendi. A scholar is included among the top collaborators of Alex Erendi 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 Alex Erendi. Alex Erendi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 24 | |
| 3 | 5 | |
| 4 | Computer simulation of geological processes | 2 |
| 5 | 252 |
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.