Moran Cerf
About
In The Last Decade
Moran Cerf
45 papers receiving 2.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Moran Cerf United States | 19 | 1.1k | 503 | 282 | 244 | 223 | 47 | 2.1k | ||
| Mary A. Peterson United States | 33 | 2.9k 2.6× | 557 1.1× | 131 0.5× | 164 0.7× | 801 3.6× | 126 | 3.9k | ||
| Alejandro Lleras United States | 24 | 1.9k 1.7× | 247 0.5× | 102 0.4× | 92 0.4× | 557 2.5× | 92 | 2.4k | ||
| Jaap M. J. Murre Netherlands | 33 | 1.8k 1.6× | 67 0.1× | 109 0.4× | 306 1.3× | 670 3.0× | 123 | 3.6k | ||
| Christian Scheier Switzerland | 12 | 1.1k 1.0× | 173 0.3× | 180 0.6× | 39 0.2× | 522 2.3× | 26 | 2.3k | ||
| Claus Bundesen Denmark | 39 | 5.4k 4.8× | 667 1.3× | 164 0.6× | 106 0.4× | 1.2k 5.6× | 106 | 6.2k | ||
| Alex O. Holcombe Australia | 27 | 2.0k 1.8× | 292 0.6× | 104 0.4× | 108 0.4× | 628 2.8× | 104 | 2.7k | ||
| Megan H. Papesh United States | 17 | 825 0.7× | 129 0.3× | 82 0.3× | 93 0.4× | 421 1.9× | 38 | 1.3k | ||
| Mark W. Becker United States | 26 | 1.0k 0.9× | 162 0.3× | 85 0.3× | 20 0.1× | 442 2.0× | 75 | 2.1k | ||
| Vidhya Navalpakkam United States | 19 | 1.1k 0.9× | 923 1.8× | 243 0.9× | 18 0.1× | 196 0.9× | 36 | 2.2k | ||
| Stephen R. Mitroff United States | 34 | 1.9k 1.7× | 322 0.6× | 154 0.5× | 35 0.1× | 845 3.8× | 117 | 3.3k |
Countries citing papers authored by Moran Cerf
This map shows the geographic impact of Moran Cerf'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 Moran Cerf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moran Cerf more than expected).
Fields of papers citing papers by Moran Cerf
This network shows the impact of papers produced by Moran Cerf. 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 Moran Cerf. The network helps show where Moran Cerf may publish in the future.
Co-authorship network of co-authors of Moran Cerf
This figure shows the co-authorship network connecting the top 25 collaborators of Moran Cerf. A scholar is included among the top collaborators of Moran Cerf 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 Moran Cerf. Moran Cerf 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.