Nava Dayan
About
In The Last Decade
Nava Dayan
9 papers receiving 416 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nava Dayan Israel | 5 | 334 | 188 | 104 | 60 | 55 | 9 | 452 | ||
| Krishna Chaitanya Telaprolu Australia | 8 | 321 1.0× | 184 1.0× | 68 0.7× | 49 0.8× | 45 0.8× | 15 | 546 | ||
| Ravindra Agarwal India | 8 | 304 0.9× | 154 0.8× | 88 0.8× | 37 0.6× | 32 0.6× | 9 | 453 | ||
| Hendrik W.W. Groenink Netherlands | 9 | 276 0.8× | 188 1.0× | 99 1.0× | 49 0.8× | 58 1.1× | 9 | 422 | ||
| Lígia Marquez Andrade Brazil | 11 | 259 0.8× | 118 0.6× | 81 0.8× | 80 1.3× | 41 0.7× | 13 | 379 | ||
| Harneet Marwah India | 5 | 359 1.1× | 131 0.7× | 98 0.9× | 52 0.9× | 34 0.6× | 16 | 517 | ||
| Lupe Carolina Espinoza Spain | 11 | 251 0.8× | 121 0.6× | 78 0.8× | 49 0.8× | 25 0.5× | 25 | 426 | ||
| Denize Ainbinder Israel | 6 | 233 0.7× | 95 0.5× | 87 0.8× | 50 0.8× | 43 0.8× | 11 | 298 | ||
| F. Dreher United States | 10 | 349 1.0× | 412 2.2× | 88 0.8× | 87 1.4× | 84 1.5× | 12 | 710 | ||
| Ashish Jain India | 8 | 338 1.0× | 110 0.6× | 75 0.7× | 116 1.9× | 41 0.7× | 33 | 448 | ||
| Sureewan Duangjit Thailand | 13 | 513 1.5× | 141 0.8× | 212 2.0× | 106 1.8× | 65 1.2× | 45 | 747 |
Countries citing papers authored by Nava Dayan
This map shows the geographic impact of Nava Dayan'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 Nava Dayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nava Dayan more than expected).
Fields of papers citing papers by Nava Dayan
This network shows the impact of papers produced by Nava Dayan. 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 Nava Dayan. The network helps show where Nava Dayan may publish in the future.
Co-authorship network of co-authors of Nava Dayan
This figure shows the co-authorship network connecting the top 25 collaborators of Nava Dayan. A scholar is included among the top collaborators of Nava Dayan 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 Nava Dayan. Nava Dayan 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.