Niann‐Tzyy Dai
About
In The Last Decade
Niann‐Tzyy Dai
74 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Niann‐Tzyy Dai Taiwan | 19 | 429 | 406 | 345 | 285 | 141 | 76 | 1.2k | ||
| Johan P.E. Junker Sweden | 22 | 431 1.0× | 759 1.9× | 520 1.5× | 260 0.9× | 109 0.8× | 47 | 1.6k | ||
| Dana Egozi Israel | 18 | 462 1.1× | 210 0.5× | 358 1.0× | 283 1.0× | 106 0.8× | 47 | 1.0k | ||
| Jörg Hauser Germany | 10 | 276 0.6× | 718 1.8× | 266 0.8× | 180 0.6× | 102 0.7× | 24 | 1.2k | ||
| Katsuya Kawai Japan | 20 | 438 1.0× | 578 1.4× | 436 1.3× | 213 0.7× | 54 0.4× | 37 | 1.2k | ||
| Agnes S. Klar Switzerland | 21 | 254 0.6× | 647 1.6× | 514 1.5× | 402 1.4× | 73 0.5× | 56 | 1.6k | ||
| Ji‐Ung Park South Korea | 20 | 247 0.6× | 255 0.6× | 255 0.7× | 383 1.3× | 48 0.3× | 72 | 1.1k | ||
| David Atashroo United States | 21 | 515 1.2× | 307 0.8× | 315 0.9× | 332 1.2× | 68 0.5× | 35 | 1.4k | ||
| S. Elizabeth James United Kingdom | 18 | 266 0.6× | 494 1.2× | 387 1.1× | 227 0.8× | 127 0.9× | 27 | 1.5k | ||
| Ruth Tevlin United States | 19 | 421 1.0× | 183 0.5× | 200 0.6× | 336 1.2× | 96 0.7× | 65 | 1.2k | ||
| Tim‐Mo Chen Taiwan | 20 | 490 1.1× | 301 0.7× | 349 1.0× | 221 0.8× | 111 0.8× | 53 | 1.1k |
Countries citing papers authored by Niann‐Tzyy Dai
This map shows the geographic impact of Niann‐Tzyy Dai'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 Niann‐Tzyy Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niann‐Tzyy Dai more than expected).
Fields of papers citing papers by Niann‐Tzyy Dai
This network shows the impact of papers produced by Niann‐Tzyy Dai. 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 Niann‐Tzyy Dai. The network helps show where Niann‐Tzyy Dai may publish in the future.
Co-authorship network of co-authors of Niann‐Tzyy Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Niann‐Tzyy Dai. A scholar is included among the top collaborators of Niann‐Tzyy Dai 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 Niann‐Tzyy Dai. Niann‐Tzyy Dai 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.