Madhubanti Maitra
About
In The Last Decade
Madhubanti Maitra
39 papers receiving 626 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Madhubanti Maitra India | 12 | 272 | 182 | 176 | 126 | 113 | 42 | 660 | ||
| Habib Dhahri Saudi Arabia | 17 | 97 0.4× | 383 2.1× | 55 0.3× | 49 0.4× | 49 0.4× | 46 | 675 | ||
| Guochang Gu China | 10 | 170 0.6× | 216 1.2× | 63 0.4× | 10 0.1× | 67 0.6× | 81 | 546 | ||
| Shaimaa Ahmed Elsaid Egypt | 13 | 136 0.5× | 310 1.7× | 56 0.3× | 20 0.2× | 70 0.6× | 27 | 675 | ||
| Ridha Ejbali Tunisia | 15 | 481 1.8× | 287 1.6× | 26 0.1× | 34 0.3× | 33 0.3× | 95 | 837 | ||
| Mahua Bhattacharya India | 15 | 273 1.0× | 242 1.3× | 16 0.1× | 66 0.5× | 16 0.1× | 104 | 723 | ||
| Abdelkrim Boukabou Algeria | 18 | 249 0.9× | 179 1.0× | 212 1.2× | 9 0.1× | 25 0.2× | 68 | 899 | ||
| Junzhi Li China | 11 | 128 0.5× | 344 1.9× | 75 0.4× | 9 0.1× | 18 0.2× | 23 | 577 | ||
| Zhenzi Weng United Kingdom | 5 | 118 0.4× | 404 2.2× | 74 0.4× | 21 0.2× | 63 0.6× | 10 | 665 | ||
| Xiaohui Kuang China | 18 | 137 0.5× | 536 2.9× | 70 0.4× | 12 0.1× | 47 0.4× | 80 | 897 |
Countries citing papers authored by Madhubanti Maitra
This map shows the geographic impact of Madhubanti Maitra'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 Madhubanti Maitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhubanti Maitra more than expected).
Fields of papers citing papers by Madhubanti Maitra
This network shows the impact of papers produced by Madhubanti Maitra. 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 Madhubanti Maitra. The network helps show where Madhubanti Maitra may publish in the future.
Co-authorship network of co-authors of Madhubanti Maitra
This figure shows the co-authorship network connecting the top 25 collaborators of Madhubanti Maitra. A scholar is included among the top collaborators of Madhubanti Maitra 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 Madhubanti Maitra. Madhubanti Maitra 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.