Vera Timmermans‐Wielenga
About
In The Last Decade
Vera Timmermans‐Wielenga
21 papers receiving 616 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vera Timmermans‐Wielenga Denmark | 16 | 286 | 221 | 195 | 95 | 72 | 21 | 624 | ||
| Angelo Gámez‐Pozo Spain | 15 | 427 1.5× | 169 0.8× | 257 1.3× | 138 1.5× | 30 0.4× | 51 | 718 | ||
| Eugene Goufman Russia | 10 | 695 2.4× | 353 1.6× | 129 0.7× | 96 1.0× | 61 0.8× | 21 | 878 | ||
| Katharina Malinowsky Germany | 17 | 389 1.4× | 149 0.7× | 177 0.9× | 76 0.8× | 12 0.2× | 27 | 660 | ||
| Huan Cheng China | 16 | 306 1.1× | 256 1.2× | 130 0.7× | 16 0.2× | 46 0.6× | 26 | 561 | ||
| Eva Groß Germany | 18 | 547 1.9× | 445 2.0× | 154 0.8× | 14 0.1× | 158 2.2× | 34 | 968 | ||
| Wen-Hui Su Taiwan | 14 | 471 1.6× | 270 1.2× | 315 1.6× | 65 0.7× | 71 1.0× | 23 | 919 | ||
| Simone W. Span Netherlands | 15 | 1.1k 3.8× | 410 1.9× | 176 0.9× | 53 0.6× | 53 0.7× | 17 | 1.3k | ||
| Teresina Amaro Portugal | 19 | 540 1.9× | 249 1.1× | 213 1.1× | 24 0.3× | 75 1.0× | 42 | 1.1k | ||
| Mazvita Maziveyi United States | 7 | 588 2.1× | 261 1.2× | 280 1.4× | 10 0.1× | 35 0.5× | 9 | 858 | ||
| Zhou-Luo Ou China | 12 | 351 1.2× | 414 1.9× | 170 0.9× | 18 0.2× | 47 0.7× | 12 | 769 |
Countries citing papers authored by Vera Timmermans‐Wielenga
This map shows the geographic impact of Vera Timmermans‐Wielenga'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 Vera Timmermans‐Wielenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Timmermans‐Wielenga more than expected).
Fields of papers citing papers by Vera Timmermans‐Wielenga
This network shows the impact of papers produced by Vera Timmermans‐Wielenga. 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 Vera Timmermans‐Wielenga. The network helps show where Vera Timmermans‐Wielenga may publish in the future.
Co-authorship network of co-authors of Vera Timmermans‐Wielenga
This figure shows the co-authorship network connecting the top 25 collaborators of Vera Timmermans‐Wielenga. A scholar is included among the top collaborators of Vera Timmermans‐Wielenga 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 Vera Timmermans‐Wielenga. Vera Timmermans‐Wielenga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.