Jayalakshmi Pailoor
About
In The Last Decade
Jayalakshmi Pailoor
40 papers receiving 480 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jayalakshmi Pailoor Malaysia | 15 | 128 | 113 | 91 | 76 | 73 | 42 | 493 | ||
| Ting Song China | 13 | 210 1.6× | 106 0.9× | 38 0.4× | 22 0.3× | 56 0.8× | 29 | 732 | ||
| Lesley Maxwell Australia | 12 | 135 1.1× | 74 0.7× | 214 2.4× | 17 0.2× | 127 1.7× | 25 | 656 | ||
| YR Mahida United Kingdom | 12 | 165 1.3× | 47 0.4× | 174 1.9× | 103 1.4× | 177 2.4× | 24 | 701 | ||
| David Dunkin United States | 16 | 111 0.9× | 32 0.3× | 248 2.7× | 80 1.1× | 140 1.9× | 44 | 950 | ||
| Takashige Suzuki Japan | 12 | 205 1.6× | 107 0.9× | 88 1.0× | 44 0.6× | 95 1.3× | 19 | 496 | ||
| Nahed Baddour Egypt | 12 | 73 0.6× | 119 1.1× | 27 0.3× | 18 0.2× | 86 1.2× | 38 | 518 | ||
| Libin Chen China | 16 | 300 2.3× | 87 0.8× | 62 0.7× | 38 0.5× | 33 0.5× | 64 | 797 | ||
| Lucas Faustino Brazil | 12 | 134 1.0× | 63 0.6× | 34 0.4× | 11 0.1× | 63 0.9× | 13 | 724 | ||
| Tipayaratn Musikacharoen Japan | 11 | 268 2.1× | 81 0.7× | 19 0.2× | 28 0.4× | 46 0.6× | 11 | 918 | ||
| Kalil Madi Brazil | 13 | 108 0.8× | 50 0.4× | 58 0.6× | 11 0.1× | 123 1.7× | 58 | 573 |
Countries citing papers authored by Jayalakshmi Pailoor
This map shows the geographic impact of Jayalakshmi Pailoor'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 Jayalakshmi Pailoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayalakshmi Pailoor more than expected).
Fields of papers citing papers by Jayalakshmi Pailoor
This network shows the impact of papers produced by Jayalakshmi Pailoor. 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 Jayalakshmi Pailoor. The network helps show where Jayalakshmi Pailoor may publish in the future.
Co-authorship network of co-authors of Jayalakshmi Pailoor
This figure shows the co-authorship network connecting the top 25 collaborators of Jayalakshmi Pailoor. A scholar is included among the top collaborators of Jayalakshmi Pailoor 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 Jayalakshmi Pailoor. Jayalakshmi Pailoor 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.