Sukhamay Lahiri
About
In The Last Decade
Sukhamay Lahiri
63 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sukhamay Lahiri United States | 21 | 743 | 462 | 290 | 248 | 190 | 63 | 1.2k | ||
| C. González Spain | 12 | 902 1.2× | 316 0.7× | 262 0.9× | 190 0.8× | 253 1.3× | 18 | 1.1k | ||
| A. Mokashi United States | 26 | 1.5k 2.1× | 712 1.5× | 393 1.4× | 391 1.6× | 472 2.5× | 90 | 1.9k | ||
| B. Dinger United States | 30 | 1.5k 2.0× | 576 1.2× | 499 1.7× | 490 2.0× | 387 2.0× | 63 | 1.8k | ||
| L. Almaraz Spain | 20 | 1.4k 1.9× | 400 0.9× | 465 1.6× | 312 1.3× | 382 2.0× | 32 | 1.8k | ||
| Juán Ureña Spain | 19 | 965 1.3× | 355 0.8× | 955 3.3× | 427 1.7× | 297 1.6× | 46 | 1.9k | ||
| Santhosh M. Baby United States | 19 | 453 0.6× | 177 0.4× | 297 1.0× | 229 0.9× | 136 0.7× | 61 | 956 | ||
| Danielle Carmignac United Kingdom | 27 | 489 0.7× | 536 1.2× | 743 2.6× | 566 2.3× | 103 0.5× | 46 | 2.5k | ||
| Takafumi Tsuchiya Japan | 19 | 750 1.0× | 158 0.3× | 450 1.6× | 528 2.1× | 82 0.4× | 56 | 1.8k | ||
| S. Nishi Japan | 22 | 718 1.0× | 223 0.5× | 632 2.2× | 524 2.1× | 38 0.2× | 52 | 2.1k | ||
| Seishi Maeda Japan | 20 | 209 0.3× | 156 0.3× | 361 1.2× | 111 0.4× | 88 0.5× | 84 | 1.3k |
Countries citing papers authored by Sukhamay Lahiri
This map shows the geographic impact of Sukhamay Lahiri'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 Sukhamay Lahiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhamay Lahiri more than expected).
Fields of papers citing papers by Sukhamay Lahiri
This network shows the impact of papers produced by Sukhamay Lahiri. 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 Sukhamay Lahiri. The network helps show where Sukhamay Lahiri may publish in the future.
Co-authorship network of co-authors of Sukhamay Lahiri
This figure shows the co-authorship network connecting the top 25 collaborators of Sukhamay Lahiri. A scholar is included among the top collaborators of Sukhamay Lahiri 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 Sukhamay Lahiri. Sukhamay Lahiri 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.