Vaidehi Kaza
About
In The Last Decade
Vaidehi Kaza
51 papers receiving 783 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vaidehi Kaza United States | 16 | 420 | 382 | 149 | 136 | 113 | 60 | 791 | ||
| A. Patterson United States | 3 | 530 1.3× | 515 1.3× | 68 0.5× | 136 1.0× | 130 1.2× | 5 | 814 | ||
| Johanna M. Kwakkel‐van Erp Netherlands | 17 | 306 0.7× | 239 0.6× | 32 0.2× | 132 1.0× | 95 0.8× | 52 | 615 | ||
| Daniele Bendayan Israel | 16 | 186 0.4× | 405 1.1× | 59 0.4× | 36 0.3× | 154 1.4× | 23 | 718 | ||
| Disaya Chavalitdhamrong United States | 15 | 426 1.0× | 225 0.6× | 14 0.1× | 120 0.9× | 199 1.8× | 36 | 729 | ||
| Rédha Souilamas France | 14 | 428 1.0× | 431 1.1× | 38 0.3× | 29 0.2× | 89 0.8× | 50 | 833 | ||
| Mariska Kemna United States | 15 | 526 1.3× | 145 0.4× | 29 0.2× | 250 1.8× | 158 1.4× | 53 | 803 | ||
| M. Hutcheon Canada | 8 | 234 0.6× | 271 0.7× | 73 0.5× | 33 0.2× | 119 1.1× | 17 | 508 | ||
| Jim Lordan United Kingdom | 10 | 293 0.7× | 399 1.0× | 28 0.2× | 57 0.4× | 147 1.3× | 25 | 607 | ||
| Elbert Kuo United States | 14 | 448 1.1× | 302 0.8× | 20 0.1× | 86 0.6× | 68 0.6× | 20 | 632 | ||
| Gaspar de Jesus Lopes Filho Brazil | 15 | 516 1.2× | 141 0.4× | 26 0.2× | 87 0.6× | 75 0.7× | 78 | 727 |
Countries citing papers authored by Vaidehi Kaza
This map shows the geographic impact of Vaidehi Kaza'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 Vaidehi Kaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaidehi Kaza more than expected).
Fields of papers citing papers by Vaidehi Kaza
This network shows the impact of papers produced by Vaidehi Kaza. 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 Vaidehi Kaza. The network helps show where Vaidehi Kaza may publish in the future.
Co-authorship network of co-authors of Vaidehi Kaza
This figure shows the co-authorship network connecting the top 25 collaborators of Vaidehi Kaza. A scholar is included among the top collaborators of Vaidehi Kaza 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 Vaidehi Kaza. Vaidehi Kaza 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.