Maitrayee Mukherjee
About
In The Last Decade
Maitrayee Mukherjee
14 papers receiving 420 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maitrayee Mukherjee India | 12 | 151 | 113 | 81 | 59 | 53 | 15 | 450 | ||
| Asankur Sekhar Das India | 15 | 156 1.0× | 29 0.3× | 68 0.8× | 55 0.9× | 63 1.2× | 19 | 448 | ||
| Aslam S. Hassan United States | 13 | 91 0.6× | 59 0.5× | 17 0.2× | 36 0.6× | 10 0.2× | 41 | 519 | ||
| Xiaobing Tan United States | 13 | 138 0.9× | 71 0.6× | 239 3.0× | 6 0.1× | 21 0.4× | 14 | 551 | ||
| S. Morelli Italy | 11 | 150 1.0× | 55 0.5× | 99 1.2× | 19 0.3× | 6 0.1× | 23 | 488 | ||
| Željka Crnčević-Orlić Croatia | 12 | 118 0.8× | 74 0.7× | 202 2.5× | 139 2.4× | 33 0.6× | 30 | 612 | ||
| Chun-Sen Hsu Taiwan | 17 | 122 0.8× | 104 0.9× | 35 0.4× | 4 0.1× | 18 0.3× | 32 | 711 | ||
| Mei Ha China | 13 | 135 0.9× | 60 0.5× | 29 0.4× | 8 0.1× | 36 0.7× | 24 | 533 | ||
| Abdelhédi Miled Tunisia | 14 | 81 0.5× | 40 0.4× | 18 0.2× | 41 0.7× | 68 1.3× | 21 | 655 | ||
| Kathy Yarborough United States | 8 | 433 2.9× | 38 0.3× | 19 0.2× | 6 0.1× | 20 0.4× | 8 | 637 | ||
| Nešina Avdagić Bosnia and Herzegovina | 11 | 86 0.6× | 60 0.5× | 51 0.6× | 6 0.1× | 25 0.5× | 38 | 457 |
Countries citing papers authored by Maitrayee Mukherjee
This map shows the geographic impact of Maitrayee Mukherjee'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 Maitrayee Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maitrayee Mukherjee more than expected).
Fields of papers citing papers by Maitrayee Mukherjee
This network shows the impact of papers produced by Maitrayee Mukherjee. 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 Maitrayee Mukherjee. The network helps show where Maitrayee Mukherjee may publish in the future.
Co-authorship network of co-authors of Maitrayee Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Maitrayee Mukherjee. A scholar is included among the top collaborators of Maitrayee Mukherjee 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 Maitrayee Mukherjee. Maitrayee Mukherjee 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.