Elgar Pichler
About
In The Last Decade
Elgar Pichler
5 papers receiving 174 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 131
- Artificial Intelligence 106
- Computational Theory and Mathematics 42
- Information Systems 31
- Information Systems and Management 23
Countries citing papers authored by Elgar Pichler
This map shows the geographic impact of Elgar Pichler'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 Elgar Pichler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elgar Pichler more than expected).
Fields of papers citing papers by Elgar Pichler
This network shows the impact of papers produced by Elgar Pichler. 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 Elgar Pichler. The network helps show where Elgar Pichler may publish in the future.
Co-authorship network of co-authors of Elgar Pichler
This figure shows the co-authorship network connecting the top 25 collaborators of Elgar Pichler. A scholar is included among the top collaborators of Elgar Pichler 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 Elgar Pichler. Elgar Pichler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 121 | |
| 5 | Comparison of Self-Organization and Optimization in Evolution and Neural Network Models. | 2 |
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.