Toru Maekawa
About
In The Last Decade
Toru Maekawa
59 papers receiving 3.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Toru Maekawa Japan | 29 | 1.7k | 1.1k | 846 | 643 | 497 | 59 | 3.4k | ||
| Rabia Javed Pakistan | 27 | 1.4k 0.8× | 660 0.6× | 443 0.5× | 473 0.7× | 558 1.1× | 77 | 3.0k | ||
| Denise Wingett United States | 21 | 2.3k 1.4× | 1.0k 1.0× | 715 0.8× | 527 0.8× | 172 0.3× | 30 | 3.7k | ||
| Hemant Kumar Daima India | 24 | 1.8k 1.1× | 1.2k 1.1× | 616 0.7× | 738 1.1× | 191 0.4× | 49 | 2.9k | ||
| Ting Su China | 34 | 996 0.6× | 1.0k 0.9× | 1.1k 1.3× | 604 0.9× | 236 0.5× | 99 | 3.9k | ||
| Pierre Krausz France | 34 | 1.1k 0.6× | 1.0k 1.0× | 904 1.1× | 669 1.0× | 327 0.7× | 140 | 3.6k | ||
| Lukáš Richtera Czechia | 28 | 1.0k 0.6× | 824 0.8× | 332 0.4× | 873 1.4× | 247 0.5× | 123 | 2.9k | ||
| Diego Stéfani T. Martinez Brazil | 33 | 1.6k 0.9× | 1.3k 1.2× | 502 0.6× | 404 0.6× | 143 0.3× | 97 | 2.9k | ||
| Alireza Ebrahiminezhad Iran | 33 | 1.3k 0.8× | 978 0.9× | 581 0.7× | 484 0.8× | 175 0.4× | 90 | 2.9k | ||
| Yujia Li China | 32 | 1.4k 0.9× | 747 0.7× | 227 0.3× | 662 1.0× | 369 0.7× | 94 | 3.3k | ||
| Attarad Ali Pakistan | 16 | 1.2k 0.7× | 659 0.6× | 481 0.6× | 201 0.3× | 346 0.7× | 22 | 2.3k |
Countries citing papers authored by Toru Maekawa
This map shows the geographic impact of Toru 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 Toru Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Maekawa more than expected).
Fields of papers citing papers by Toru Maekawa
This network shows the impact of papers produced by Toru 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 Toru Maekawa. The network helps show where Toru Maekawa may publish in the future.
Co-authorship network of co-authors of Toru Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Maekawa. A scholar is included among the top collaborators of Toru 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 Toru Maekawa. Toru 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.