Tadashi Maekawa
About
In The Last Decade
Tadashi Maekawa
39 papers receiving 442 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tadashi Maekawa Japan | 11 | 276 | 96 | 94 | 85 | 67 | 42 | 468 | ||
| L.C. Chan Hong Kong | 14 | 262 0.9× | 145 1.5× | 133 1.4× | 34 0.4× | 47 0.7× | 26 | 598 | ||
| Helen Enright Ireland | 14 | 345 1.3× | 81 0.8× | 140 1.5× | 44 0.5× | 91 1.4× | 41 | 625 | ||
| S. C. Tso China | 13 | 192 0.7× | 39 0.4× | 162 1.7× | 35 0.4× | 43 0.6× | 24 | 473 | ||
| C D Hillyer United States | 8 | 333 1.2× | 56 0.6× | 58 0.6× | 89 1.0× | 23 0.3× | 10 | 478 | ||
| Irving Innerfield United States | 15 | 124 0.4× | 58 0.6× | 52 0.6× | 29 0.3× | 51 0.8× | 53 | 562 | ||
| Mirjana Mitrović Serbia | 11 | 250 0.9× | 150 1.6× | 68 0.7× | 35 0.4× | 37 0.6× | 54 | 436 | ||
| Irving B. Mink United States | 14 | 167 0.6× | 70 0.7× | 63 0.7× | 40 0.5× | 49 0.7× | 25 | 639 | ||
| F García‐Bragado Spain | 8 | 233 0.8× | 36 0.4× | 155 1.6× | 21 0.2× | 106 1.6× | 29 | 474 | ||
| C. Gardikas Greece | 12 | 116 0.4× | 66 0.7× | 81 0.9× | 27 0.3× | 37 0.6× | 56 | 395 | ||
| Francesca Marangoni Italy | 9 | 387 1.4× | 22 0.2× | 86 0.9× | 22 0.3× | 64 1.0× | 18 | 577 |
Countries citing papers authored by Tadashi Maekawa
This map shows the geographic impact of Tadashi Maekawa'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 Tadashi Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Maekawa more than expected).
Fields of papers citing papers by Tadashi Maekawa
This network shows the impact of papers produced by Tadashi Maekawa. 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 Tadashi Maekawa. The network helps show where Tadashi Maekawa may publish in the future.
Co-authorship network of co-authors of Tadashi Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Maekawa. A scholar is included among the top collaborators of Tadashi Maekawa 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 Tadashi Maekawa. Tadashi Maekawa 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.