T.A.V. Randriamandrato
About
In The Last Decade
T.A.V. Randriamandrato
2 papers receiving 2 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|---|---|
| T.A.V. Randriamandrato Madagascar | 2 | 1 | 1 | 1 | 1 | 2 | 2 | ||
| Alessandra Souza dos Santos Brazil | 2 | 2 | 2 | ||||||
| Christine Blane United Kingdom | 2 | 1 1.0× | 2 | 2 | |||||
| I. Rodríguez Cabo Spain | 2 | 3 | 3 | ||||||
| James Kennard United Kingdom | 2 | 3 | 2 | ||||||
| Maria João Lima Spain | 2 | 1 1.0× | 6 | 2 | |||||
| N. Frodyma Poland | 2 | 3 | 2 | ||||||
| A. Novák Canada | 2 | 2 | 2 | ||||||
| C. Laganá Brazil | 2 | 3 | 2 | ||||||
| E. Reynolds United Kingdom | 2 | 2 | 4 | ||||||
| M. Morgenstern Germany | 2 | 3 | 3 |
Countries citing papers authored by T.A.V. Randriamandrato
This map shows the geographic impact of T.A.V. Randriamandrato'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 T.A.V. Randriamandrato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.A.V. Randriamandrato more than expected).
Fields of papers citing papers by T.A.V. Randriamandrato
This network shows the impact of papers produced by T.A.V. Randriamandrato. 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 T.A.V. Randriamandrato. The network helps show where T.A.V. Randriamandrato may publish in the future.
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.