Beihai Ma
About
In The Last Decade
Beihai Ma
126 papers receiving 2.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Beihai Ma United States | 25 | 2.1k | 988 | 965 | 647 | 318 | 133 | 2.4k | ||
| Xinhua Zhu China | 29 | 1.5k 0.7× | 1.0k 1.0× | 383 0.4× | 849 1.3× | 331 1.0× | 108 | 2.2k | ||
| A. Berenov United Kingdom | 25 | 1.6k 0.7× | 1.2k 1.2× | 382 0.4× | 435 0.7× | 484 1.5× | 64 | 2.0k | ||
| G. Prasad India | 24 | 2.0k 1.0× | 752 0.8× | 370 0.4× | 880 1.4× | 115 0.4× | 164 | 2.2k | ||
| Zhenrong Li China | 26 | 1.9k 0.9× | 963 1.0× | 1.2k 1.3× | 934 1.4× | 79 0.2× | 161 | 2.4k | ||
| Toshiya Kumagai Japan | 23 | 932 0.4× | 547 0.6× | 236 0.2× | 537 0.8× | 346 1.1× | 88 | 1.4k | ||
| Guanghui Rao China | 30 | 2.5k 1.2× | 2.7k 2.7× | 680 0.7× | 684 1.1× | 1.0k 3.3× | 171 | 3.6k | ||
| Zhuhua Cai United States | 21 | 2.6k 1.2× | 1.9k 1.9× | 240 0.2× | 740 1.1× | 181 0.6× | 34 | 3.1k | ||
| Subodh Ganesanpotti India | 31 | 1.8k 0.9× | 815 0.8× | 510 0.5× | 1.5k 2.3× | 115 0.4× | 109 | 2.4k | ||
| Masamichi Ippommatsu Japan | 21 | 957 0.5× | 617 0.6× | 368 0.4× | 570 0.9× | 731 2.3× | 55 | 1.5k | ||
| K. C. James Raju India | 27 | 1.9k 0.9× | 944 1.0× | 602 0.6× | 1.3k 1.9× | 43 0.1× | 218 | 2.4k |
Countries citing papers authored by Beihai Ma
This map shows the geographic impact of Beihai Ma'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 Beihai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beihai Ma more than expected).
Fields of papers citing papers by Beihai Ma
This network shows the impact of papers produced by Beihai Ma. 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 Beihai Ma. The network helps show where Beihai Ma may publish in the future.
Co-authorship network of co-authors of Beihai Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Beihai Ma. A scholar is included among the top collaborators of Beihai Ma 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 Beihai Ma. Beihai Ma 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.