Meetu Bharti
About
In The Last Decade
Meetu Bharti
15 papers receiving 574 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meetu Bharti India | 10 | 423 | 317 | 235 | 182 | 110 | 15 | 582 | ||
| Xiaoqi Lan China | 14 | 433 1.0× | 348 1.1× | 371 1.6× | 168 0.9× | 81 0.7× | 19 | 654 | ||
| Maryam Shahi United States | 8 | 256 0.6× | 218 0.7× | 217 0.9× | 193 1.1× | 53 0.5× | 11 | 455 | ||
| Yongjing Hu China | 13 | 278 0.7× | 283 0.9× | 201 0.9× | 139 0.8× | 42 0.4× | 18 | 468 | ||
| Seung Hwan Lee South Korea | 5 | 485 1.1× | 487 1.5× | 328 1.4× | 268 1.5× | 84 0.8× | 9 | 708 | ||
| Krishanu Chatterjee India | 11 | 354 0.8× | 363 1.1× | 275 1.2× | 132 0.7× | 66 0.6× | 16 | 578 | ||
| Jinji Luo Germany | 8 | 428 1.0× | 388 1.2× | 191 0.8× | 244 1.3× | 79 0.7× | 10 | 603 | ||
| Eui Hyun Suh South Korea | 16 | 413 1.0× | 372 1.2× | 453 1.9× | 108 0.6× | 35 0.3× | 32 | 644 | ||
| Suk Lae Kim United States | 8 | 620 1.5× | 267 0.8× | 311 1.3× | 231 1.3× | 168 1.5× | 8 | 823 | ||
| Janusz Płocharski Poland | 13 | 120 0.3× | 217 0.7× | 207 0.9× | 164 0.9× | 185 1.7× | 47 | 473 | ||
| P. Soledad Antonel Argentina | 13 | 120 0.3× | 154 0.5× | 92 0.4× | 166 0.9× | 104 0.9× | 24 | 408 |
Countries citing papers authored by Meetu Bharti
This map shows the geographic impact of Meetu Bharti'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 Meetu Bharti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meetu Bharti more than expected).
Fields of papers citing papers by Meetu Bharti
This network shows the impact of papers produced by Meetu Bharti. 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 Meetu Bharti. The network helps show where Meetu Bharti may publish in the future.
Co-authorship network of co-authors of Meetu Bharti
This figure shows the co-authorship network connecting the top 25 collaborators of Meetu Bharti. A scholar is included among the top collaborators of Meetu Bharti 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 Meetu Bharti. Meetu Bharti 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.