Maria C. Heidkamp
About
In The Last Decade
Maria C. Heidkamp
14 papers receiving 644 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maria C. Heidkamp United States | 13 | 379 | 228 | 133 | 120 | 116 | 14 | 658 | ||
| Jiaxiang Qu United States | 9 | 431 1.1× | 281 1.2× | 23 0.2× | 17 0.1× | 68 0.6× | 11 | 660 | ||
| Biljana Skrbic Norway | 16 | 328 0.9× | 505 2.2× | 50 0.4× | 37 0.3× | 146 1.3× | 18 | 797 | ||
| Mary Boes United States | 14 | 438 1.2× | 180 0.8× | 30 0.2× | 28 0.2× | 67 0.6× | 19 | 877 | ||
| Michel Campan France | 8 | 190 0.5× | 63 0.3× | 36 0.3× | 98 0.8× | 27 0.2× | 9 | 388 | ||
| Rebecca A. Deaton United States | 11 | 485 1.3× | 61 0.3× | 56 0.4× | 17 0.1× | 48 0.4× | 16 | 735 | ||
| David Hum Canada | 11 | 330 0.9× | 92 0.4× | 13 0.1× | 268 2.2× | 40 0.3× | 13 | 601 | ||
| Callie Kwartler United States | 17 | 300 0.8× | 155 0.7× | 34 0.3× | 65 0.5× | 61 0.5× | 27 | 840 | ||
| Tong Huan Jin China | 9 | 242 0.6× | 35 0.2× | 32 0.2× | 29 0.2× | 82 0.7× | 15 | 684 | ||
| Akihiro Yoshii Japan | 13 | 335 0.9× | 45 0.2× | 23 0.2× | 22 0.2× | 49 0.4× | 27 | 593 | ||
| Xiao‐Fan Wang United States | 7 | 497 1.3× | 216 0.9× | 24 0.2× | 31 0.3× | 18 0.2× | 7 | 811 |
Countries citing papers authored by Maria C. Heidkamp
This map shows the geographic impact of Maria C. Heidkamp'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 Maria C. Heidkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria C. Heidkamp more than expected).
Fields of papers citing papers by Maria C. Heidkamp
This network shows the impact of papers produced by Maria C. Heidkamp. 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 Maria C. Heidkamp. The network helps show where Maria C. Heidkamp may publish in the future.
Co-authorship network of co-authors of Maria C. Heidkamp
This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Heidkamp. A scholar is included among the top collaborators of Maria C. Heidkamp 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 Maria C. Heidkamp. Maria C. Heidkamp 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.