Anisha Tanna
About
In The Last Decade
Anisha Tanna
30 papers receiving 868 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Anisha Tanna United Kingdom | 14 | 586 | 288 | 228 | 213 | 190 | 30 | 886 | ||
| Raffaella Monno Italy | 14 | 230 0.4× | 185 0.6× | 92 0.4× | 35 0.2× | 143 0.8× | 18 | 832 | ||
| Jean‐Philippe Méry France | 12 | 146 0.2× | 196 0.7× | 44 0.2× | 169 0.8× | 112 0.6× | 22 | 539 | ||
| Bora Gülhan Türkiye | 15 | 129 0.2× | 206 0.7× | 39 0.2× | 67 0.3× | 176 0.9× | 63 | 629 | ||
| Maria Fernanda Soares Brazil | 14 | 126 0.2× | 405 1.4× | 53 0.2× | 75 0.4× | 89 0.5× | 42 | 793 | ||
| Isabelle Ayoub United States | 15 | 146 0.2× | 315 1.1× | 21 0.1× | 282 1.3× | 164 0.9× | 49 | 647 | ||
| Miroslav Sekulic United States | 14 | 106 0.2× | 164 0.6× | 32 0.1× | 37 0.2× | 61 0.3× | 68 | 633 | ||
| Laura Massaro Italy | 19 | 49 0.1× | 75 0.3× | 50 0.2× | 768 3.6× | 355 1.9× | 46 | 990 | ||
| Marco Ulises Martínez‐Martínez Mexico | 14 | 108 0.2× | 57 0.2× | 32 0.1× | 334 1.6× | 84 0.4× | 47 | 594 | ||
| Keith Gomez United Kingdom | 19 | 92 0.2× | 30 0.1× | 347 1.5× | 28 0.1× | 79 0.4× | 72 | 1.2k | ||
| Masayuki Miyata Japan | 14 | 168 0.3× | 15 0.1× | 51 0.2× | 172 0.8× | 85 0.4× | 43 | 547 |
Countries citing papers authored by Anisha Tanna
This map shows the geographic impact of Anisha Tanna'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 Anisha Tanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anisha Tanna more than expected).
Fields of papers citing papers by Anisha Tanna
This network shows the impact of papers produced by Anisha Tanna. 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 Anisha Tanna. The network helps show where Anisha Tanna may publish in the future.
Co-authorship network of co-authors of Anisha Tanna
This figure shows the co-authorship network connecting the top 25 collaborators of Anisha Tanna. A scholar is included among the top collaborators of Anisha Tanna 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 Anisha Tanna. Anisha Tanna 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.