Maria Neuss‐Radu
About
In The Last Decade
Maria Neuss‐Radu
36 papers receiving 426 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 Neuss‐Radu Germany | 12 | 340 | 268 | 213 | 72 | 35 | 38 | 461 | ||
| Akif Ibragimov United States | 12 | 149 0.4× | 143 0.5× | 68 0.3× | 59 0.8× | 33 0.9× | 39 | 537 | ||
| Carlo D’Angelo Italy | 10 | 172 0.5× | 275 1.0× | 167 0.8× | 12 0.2× | 13 0.4× | 19 | 422 | ||
| Norikazu Saito Japan | 11 | 236 0.7× | 200 0.7× | 91 0.4× | 47 0.7× | 34 1.0× | 38 | 397 | ||
| X. Wen United Kingdom | 10 | 98 0.3× | 71 0.3× | 263 1.2× | 28 0.4× | 334 9.5× | 19 | 468 | ||
| A. Yu. Chebotarëv Russia | 16 | 145 0.4× | 404 1.5× | 23 0.1× | 211 2.9× | 417 11.9× | 82 | 676 | ||
| Lorena Bociu United States | 12 | 282 0.8× | 78 0.3× | 60 0.3× | 103 1.4× | 219 6.3× | 40 | 448 | ||
| Emmanuel Maitre France | 10 | 57 0.2× | 261 1.0× | 28 0.1× | 54 0.8× | 21 0.6× | 28 | 413 | ||
| Alpesh Kumar India | 14 | 50 0.1× | 128 0.5× | 216 1.0× | 42 0.6× | 5 0.1× | 27 | 545 | ||
| Marjorie F. McCracken United States | 6 | 76 0.2× | 117 0.4× | 46 0.2× | 85 1.2× | 66 1.9× | 6 | 371 | ||
| Heiko von der Mosel Germany | 15 | 129 0.4× | 102 0.4× | 59 0.3× | 313 4.3× | 68 1.9× | 47 | 585 |
Countries citing papers authored by Maria Neuss‐Radu
This map shows the geographic impact of Maria Neuss‐Radu'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 Neuss‐Radu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Neuss‐Radu more than expected).
Fields of papers citing papers by Maria Neuss‐Radu
This network shows the impact of papers produced by Maria Neuss‐Radu. 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 Neuss‐Radu. The network helps show where Maria Neuss‐Radu may publish in the future.
Co-authorship network of co-authors of Maria Neuss‐Radu
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Neuss‐Radu. A scholar is included among the top collaborators of Maria Neuss‐Radu 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 Neuss‐Radu. Maria Neuss‐Radu 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.