Kakali Maiti
About
In The Last Decade
Kakali Maiti
14 papers receiving 738 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kakali Maiti South Korea | 11 | 529 | 433 | 296 | 78 | 57 | 15 | 745 | ||
| Bowen Zhou China | 13 | 476 0.9× | 433 1.0× | 287 1.0× | 80 1.0× | 84 1.5× | 29 | 744 | ||
| Seong‐Wook Kim South Korea | 8 | 509 1.0× | 459 1.1× | 263 0.9× | 67 0.9× | 82 1.4× | 16 | 730 | ||
| Yanwei Zhu China | 13 | 567 1.1× | 351 0.8× | 382 1.3× | 47 0.6× | 48 0.8× | 28 | 733 | ||
| Do Hyung Kweon South Korea | 11 | 716 1.4× | 431 1.0× | 424 1.4× | 50 0.6× | 79 1.4× | 19 | 910 | ||
| Fengzhan Si China | 18 | 554 1.0× | 427 1.0× | 357 1.2× | 89 1.1× | 83 1.5× | 36 | 789 | ||
| Yunan Li China | 11 | 395 0.7× | 371 0.9× | 150 0.5× | 98 1.3× | 49 0.9× | 20 | 579 | ||
| Riccardo Brandiele Italy | 14 | 433 0.8× | 348 0.8× | 200 0.7× | 86 1.1× | 80 1.4× | 18 | 543 | ||
| Chun Hu China | 13 | 737 1.4× | 571 1.3× | 276 0.9× | 118 1.5× | 100 1.8× | 19 | 874 | ||
| Wei-Li Qu China | 15 | 319 0.6× | 388 0.9× | 209 0.7× | 90 1.2× | 46 0.8× | 35 | 545 | ||
| Remegia Mmalewane Modibedi South Africa | 13 | 465 0.9× | 397 0.9× | 220 0.7× | 78 1.0× | 132 2.3× | 20 | 590 |
Countries citing papers authored by Kakali Maiti
This map shows the geographic impact of Kakali Maiti'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 Kakali Maiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kakali Maiti more than expected).
Fields of papers citing papers by Kakali Maiti
This network shows the impact of papers produced by Kakali Maiti. 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 Kakali Maiti. The network helps show where Kakali Maiti may publish in the future.
Co-authorship network of co-authors of Kakali Maiti
This figure shows the co-authorship network connecting the top 25 collaborators of Kakali Maiti. A scholar is included among the top collaborators of Kakali Maiti 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 Kakali Maiti. Kakali Maiti 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.