Riva Tukachinsky
About
In The Last Decade
Riva Tukachinsky
29 papers receiving 1.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Riva Tukachinsky United States | 20 | 861 | 672 | 455 | 357 | 197 | 30 | 1.4k | ||
| Benjamin K. Johnson United States | 25 | 1.2k 1.4× | 517 0.8× | 662 1.5× | 169 0.5× | 234 1.2× | 64 | 1.8k | ||
| José Sanders Netherlands | 18 | 431 0.5× | 777 1.2× | 479 1.1× | 225 0.6× | 189 1.0× | 63 | 1.4k | ||
| Diana Rieger Germany | 22 | 941 1.1× | 524 0.8× | 338 0.7× | 208 0.6× | 439 2.2× | 82 | 1.6k | ||
| Rhonda Gibson United States | 18 | 611 0.7× | 437 0.7× | 492 1.1× | 161 0.5× | 149 0.8× | 36 | 1.2k | ||
| Anne Bartsch Germany | 21 | 846 1.0× | 1.3k 1.9× | 336 0.7× | 531 1.5× | 518 2.6× | 50 | 1.9k | ||
| Elizabeth Behm‐Morawitz United States | 19 | 696 0.8× | 382 0.6× | 233 0.5× | 527 1.5× | 247 1.3× | 49 | 1.4k | ||
| Silvia Knobloch United States | 14 | 551 0.6× | 478 0.7× | 313 0.7× | 160 0.4× | 185 0.9× | 23 | 1.1k | ||
| Travis L. Dixon United States | 24 | 1.6k 1.9× | 434 0.6× | 724 1.6× | 596 1.7× | 260 1.3× | 40 | 2.4k | ||
| Srividya Ramasubramanian United States | 20 | 769 0.9× | 367 0.5× | 390 0.9× | 320 0.9× | 225 1.1× | 72 | 1.4k | ||
| Frank M. Schneider Germany | 19 | 946 1.1× | 494 0.7× | 348 0.8× | 157 0.4× | 429 2.2× | 53 | 1.5k |
Countries citing papers authored by Riva Tukachinsky
This map shows the geographic impact of Riva Tukachinsky'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 Riva Tukachinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riva Tukachinsky more than expected).
Fields of papers citing papers by Riva Tukachinsky
This network shows the impact of papers produced by Riva Tukachinsky. 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 Riva Tukachinsky. The network helps show where Riva Tukachinsky may publish in the future.
Co-authorship network of co-authors of Riva Tukachinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Riva Tukachinsky. A scholar is included among the top collaborators of Riva Tukachinsky 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 Riva Tukachinsky. Riva Tukachinsky 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.