Goran Papenberg
About
In The Last Decade
Goran Papenberg
6 papers receiving 188 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 98
- Molecular Biology 52
- Cancer Research 41
- Cellular and Molecular Neuroscience 28
- Experimental and Cognitive Psychology 18
Countries citing papers authored by Goran Papenberg
This map shows the geographic impact of Goran Papenberg'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 Goran Papenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Papenberg more than expected).
Fields of papers citing papers by Goran Papenberg
This network shows the impact of papers produced by Goran Papenberg. 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 Goran Papenberg. The network helps show where Goran Papenberg may publish in the future.
Co-authorship network of co-authors of Goran Papenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Papenberg. A scholar is included among the top collaborators of Goran Papenberg 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 Goran Papenberg. Goran Papenberg 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 | 4 | |
| 5 | 11 | |
| 6 | 50 | |
| 7 | 72 | |
| 8 | 49 |
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.