Tânia Ueda‐Nakamura
About
In The Last Decade
Tânia Ueda‐Nakamura
219 papers receiving 6.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tânia Ueda‐Nakamura Brazil | 47 | 2.1k | 1.9k | 1.8k | 1.4k | 1.3k | 226 | 6.9k | ||
| Benedito Prado Dias Filho Brazil | 47 | 2.9k 1.3× | 1.5k 0.8× | 1.8k 1.0× | 2.1k 1.5× | 1.0k 0.8× | 207 | 7.2k | ||
| Celuta Sales Alviano Brazil | 45 | 3.1k 1.4× | 742 0.4× | 2.2k 1.2× | 2.4k 1.7× | 1.8k 1.4× | 222 | 7.9k | ||
| Diógenes Aparı́cio Garcia Cortez Brazil | 37 | 2.5k 1.2× | 668 0.4× | 1.3k 0.7× | 1.9k 1.4× | 407 0.3× | 169 | 5.2k | ||
| Jairo Kenupp Bastos Brazil | 52 | 2.7k 1.3× | 443 0.2× | 2.8k 1.6× | 2.9k 2.1× | 360 0.3× | 354 | 8.5k | ||
| Samuel K. Martin United States | 25 | 1.0k 0.5× | 1.6k 0.8× | 761 0.4× | 1.2k 0.8× | 591 0.5× | 46 | 4.5k | ||
| Valdir Florêncio da Veiga Brazil | 35 | 1.9k 0.9× | 398 0.2× | 1.7k 0.9× | 1.3k 1.0× | 280 0.2× | 194 | 5.2k | ||
| Daniela Sales Alviano Brazil | 37 | 2.1k 1.0× | 347 0.2× | 1.3k 0.7× | 2.1k 1.5× | 535 0.4× | 143 | 5.1k | ||
| Zhongqiong Yin China | 41 | 1.4k 0.7× | 389 0.2× | 1.8k 1.0× | 1.0k 0.7× | 508 0.4× | 239 | 5.7k | ||
| Philip A.J. Gorin Brazil | 53 | 5.0k 2.3× | 289 0.2× | 3.0k 1.7× | 2.1k 1.5× | 888 0.7× | 285 | 9.9k | ||
| Keivan Zandi Malaysia | 33 | 674 0.3× | 928 0.5× | 1.0k 0.6× | 384 0.3× | 532 0.4× | 94 | 4.9k |
Countries citing papers authored by Tânia Ueda‐Nakamura
This map shows the geographic impact of Tânia Ueda‐Nakamura'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 Tânia Ueda‐Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tânia Ueda‐Nakamura more than expected).
Fields of papers citing papers by Tânia Ueda‐Nakamura
This network shows the impact of papers produced by Tânia Ueda‐Nakamura. 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 Tânia Ueda‐Nakamura. The network helps show where Tânia Ueda‐Nakamura may publish in the future.
Co-authorship network of co-authors of Tânia Ueda‐Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Tânia Ueda‐Nakamura. A scholar is included among the top collaborators of Tânia Ueda‐Nakamura 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 Tânia Ueda‐Nakamura. Tânia Ueda‐Nakamura 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.