Tal Goshen‐Lago
About
In The Last Decade
Tal Goshen‐Lago
21 papers receiving 389 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tal Goshen‐Lago Israel | 10 | 200 | 127 | 106 | 77 | 53 | 21 | 391 | ||
| Nesrine Mejri Tunisia | 10 | 126 0.6× | 38 0.3× | 62 0.6× | 36 0.5× | 38 0.7× | 51 | 317 | ||
| Tumas Beinortas United Kingdom | 6 | 97 0.5× | 192 1.5× | 63 0.6× | 35 0.5× | 23 0.4× | 9 | 319 | ||
| Ana S. Ferrigno Mexico | 9 | 114 0.6× | 81 0.6× | 27 0.3× | 43 0.6× | 38 0.7× | 40 | 279 | ||
| Concepcion D. Arrastia United States | 11 | 102 0.5× | 32 0.3× | 92 0.9× | 87 1.1× | 33 0.6× | 15 | 482 | ||
| Mónica Ballesteros Spain | 10 | 109 0.5× | 80 0.6× | 78 0.7× | 23 0.3× | 23 0.4× | 26 | 407 | ||
| Adam Lee United States | 8 | 92 0.5× | 157 1.2× | 29 0.3× | 28 0.4× | 85 1.6× | 32 | 359 | ||
| Deborah Enting United Kingdom | 9 | 167 0.8× | 39 0.3× | 74 0.7× | 203 2.6× | 87 1.6× | 42 | 374 | ||
| Jalpa Shah United States | 7 | 152 0.8× | 38 0.3× | 209 2.0× | 15 0.2× | 49 0.9× | 16 | 400 | ||
| Kate Lathrop United States | 9 | 171 0.9× | 128 1.0× | 39 0.4× | 11 0.1× | 57 1.1× | 25 | 284 | ||
| Alberto Ranghiero Italy | 12 | 102 0.5× | 34 0.3× | 91 0.9× | 17 0.2× | 60 1.1× | 28 | 296 |
Countries citing papers authored by Tal Goshen‐Lago
This map shows the geographic impact of Tal Goshen‐Lago'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 Tal Goshen‐Lago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Goshen‐Lago more than expected).
Fields of papers citing papers by Tal Goshen‐Lago
This network shows the impact of papers produced by Tal Goshen‐Lago. 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 Tal Goshen‐Lago. The network helps show where Tal Goshen‐Lago may publish in the future.
Co-authorship network of co-authors of Tal Goshen‐Lago
This figure shows the co-authorship network connecting the top 25 collaborators of Tal Goshen‐Lago. A scholar is included among the top collaborators of Tal Goshen‐Lago 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 Tal Goshen‐Lago. Tal Goshen‐Lago 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.