Neta Sal‐Man
About
In The Last Decade
Neta Sal‐Man
39 papers receiving 865 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Neta Sal‐Man Israel | 16 | 498 | 188 | 182 | 119 | 103 | 43 | 879 | ||
| Martin Allan Italy | 18 | 703 1.4× | 83 0.4× | 152 0.8× | 84 0.7× | 90 0.9× | 24 | 970 | ||
| Christine Kellenberger France | 16 | 381 0.8× | 182 1.0× | 155 0.9× | 45 0.4× | 68 0.7× | 31 | 859 | ||
| Melisa Merdanovic Germany | 13 | 527 1.1× | 95 0.5× | 313 1.7× | 65 0.5× | 41 0.4× | 15 | 869 | ||
| Stephanie Barker United Kingdom | 5 | 333 0.7× | 67 0.4× | 150 0.8× | 232 1.9× | 73 0.7× | 8 | 623 | ||
| François‐Xavier Campbell‐Valois Canada | 17 | 673 1.4× | 261 1.4× | 159 0.9× | 55 0.5× | 24 0.2× | 34 | 1.1k | ||
| Anne Müller Germany | 14 | 362 0.7× | 107 0.6× | 67 0.4× | 141 1.2× | 61 0.6× | 20 | 830 | ||
| Thierry Izoré Australia | 16 | 655 1.3× | 146 0.8× | 267 1.5× | 61 0.5× | 29 0.3× | 23 | 1.0k | ||
| Ravi K. Lokareddy United States | 19 | 480 1.0× | 139 0.7× | 164 0.9× | 42 0.4× | 40 0.4× | 35 | 886 | ||
| Vyacheslav M. Abramov Russia | 21 | 706 1.4× | 139 0.7× | 406 2.2× | 68 0.6× | 46 0.4× | 60 | 1.1k | ||
| Bernard Clantin France | 17 | 699 1.4× | 214 1.1× | 407 2.2× | 144 1.2× | 41 0.4× | 27 | 1.1k |
Countries citing papers authored by Neta Sal‐Man
This map shows the geographic impact of Neta Sal‐Man'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 Neta Sal‐Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neta Sal‐Man more than expected).
Fields of papers citing papers by Neta Sal‐Man
This network shows the impact of papers produced by Neta Sal‐Man. 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 Neta Sal‐Man. The network helps show where Neta Sal‐Man may publish in the future.
Co-authorship network of co-authors of Neta Sal‐Man
This figure shows the co-authorship network connecting the top 25 collaborators of Neta Sal‐Man. A scholar is included among the top collaborators of Neta Sal‐Man 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 Neta Sal‐Man. Neta Sal‐Man 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.