Makoto Goda
About
In The Last Decade
Makoto Goda
42 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Makoto Goda Japan | 15 | 521 | 335 | 271 | 175 | 165 | 43 | 1.2k | ||
| Noriyuki Azuma Japan | 28 | 1.5k 2.8× | 148 0.4× | 135 0.5× | 215 1.2× | 195 1.2× | 139 | 2.6k | ||
| Christine Vincent France | 19 | 1.5k 2.8× | 163 0.5× | 127 0.5× | 196 1.1× | 147 0.9× | 27 | 2.0k | ||
| Peter G. Farlie Australia | 22 | 1.5k 2.8× | 134 0.4× | 366 1.4× | 164 0.9× | 338 2.0× | 42 | 2.6k | ||
| Massimo Signore United Kingdom | 24 | 1.8k 3.4× | 183 0.5× | 275 1.0× | 319 1.8× | 362 2.2× | 30 | 2.5k | ||
| Toomas Neuman United States | 25 | 1.3k 2.5× | 253 0.8× | 177 0.7× | 160 0.9× | 376 2.3× | 75 | 2.1k | ||
| Alexandra Rolletschek Germany | 18 | 1.0k 2.0× | 222 0.7× | 356 1.3× | 112 0.6× | 238 1.4× | 27 | 1.8k | ||
| Sahar Nissim United States | 15 | 1.4k 2.8× | 114 0.3× | 205 0.8× | 217 1.2× | 130 0.8× | 20 | 2.1k | ||
| Beyhan Tüysüz Türkiye | 24 | 1.4k 2.6× | 136 0.4× | 231 0.9× | 469 2.7× | 247 1.5× | 139 | 2.5k | ||
| Sarah M. Knox United States | 26 | 1.0k 2.0× | 243 0.7× | 324 1.2× | 730 4.2× | 199 1.2× | 46 | 2.3k | ||
| Ute Hehr Germany | 27 | 1.6k 3.1× | 307 0.9× | 188 0.7× | 262 1.5× | 541 3.3× | 86 | 2.6k |
Countries citing papers authored by Makoto Goda
This map shows the geographic impact of Makoto Goda'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 Makoto Goda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Goda more than expected).
Fields of papers citing papers by Makoto Goda
This network shows the impact of papers produced by Makoto Goda. 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 Makoto Goda. The network helps show where Makoto Goda may publish in the future.
Co-authorship network of co-authors of Makoto Goda
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Goda. A scholar is included among the top collaborators of Makoto Goda 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 Makoto Goda. Makoto Goda 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.