Maital Neta
About
In The Last Decade
Maital Neta
60 papers receiving 2.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maital Neta United States | 25 | 1.7k | 1.1k | 823 | 287 | 181 | 63 | 2.6k | ||
| Johannes Hewig Germany | 34 | 2.0k 1.2× | 955 0.9× | 537 0.7× | 566 2.0× | 348 1.9× | 113 | 3.1k | ||
| Paula M. Niedenthal France | 18 | 1.7k 1.0× | 1.3k 1.2× | 1.2k 1.4× | 262 0.9× | 388 2.1× | 30 | 2.8k | ||
| Monika Thunberg Sweden | 8 | 1.3k 0.8× | 841 0.8× | 1.0k 1.3× | 242 0.8× | 168 0.9× | 12 | 2.1k | ||
| Rachael E. Jack United Kingdom | 21 | 1.9k 1.1× | 1.6k 1.5× | 1.1k 1.3× | 197 0.7× | 220 1.2× | 56 | 3.1k | ||
| Robert D. Melara United States | 30 | 1.9k 1.1× | 1.2k 1.1× | 448 0.5× | 176 0.6× | 74 0.4× | 78 | 2.7k | ||
| Alexandre Schaefer United Kingdom | 24 | 1.4k 0.8× | 878 0.8× | 471 0.6× | 291 1.0× | 102 0.6× | 51 | 2.2k | ||
| Sylvie Blairy Belgium | 18 | 1.1k 0.7× | 923 0.8× | 815 1.0× | 380 1.3× | 294 1.6× | 41 | 2.2k | ||
| Jan W. Van Strien Netherlands | 33 | 1.9k 1.1× | 830 0.8× | 472 0.6× | 370 1.3× | 129 0.7× | 92 | 2.7k | ||
| Annekathrin Schacht Germany | 35 | 3.1k 1.8× | 1.7k 1.5× | 877 1.1× | 207 0.7× | 127 0.7× | 84 | 3.9k | ||
| Laura Miccoli Spain | 9 | 891 0.5× | 596 0.5× | 399 0.5× | 198 0.7× | 63 0.3× | 14 | 1.6k |
Countries citing papers authored by Maital Neta
This map shows the geographic impact of Maital Neta'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 Maital Neta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maital Neta more than expected).
Fields of papers citing papers by Maital Neta
This network shows the impact of papers produced by Maital Neta. 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 Maital Neta. The network helps show where Maital Neta may publish in the future.
Co-authorship network of co-authors of Maital Neta
This figure shows the co-authorship network connecting the top 25 collaborators of Maital Neta. A scholar is included among the top collaborators of Maital Neta 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 Maital Neta. Maital Neta 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.