Devi Fitriani
About
In The Last Decade
Devi Fitriani
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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Devi Fitriani Indonesia | 2 | 3 | 2 | 1 | 1 | 1 | 6 | 4 | ||
| C. Hills United Kingdom | 2 | 3 1.0× | 2 1.0× | 2 | 7 | |||||
| A. Chitan Switzerland | 2 | 2 0.7× | 2 1.0× | 3 | 4 | |||||
| A. Silvelo Spain | 1 | 2 0.7× | 2 1.0× | 2 | 4 | |||||
| X. H. Mo United States | 2 | 2 0.7× | 2 1.0× | 4 | 8 | |||||
| Rajneesh Panwar India | 3 | 2 0.7× | 2 1.0× | 1 1.0× | 9 | 11 | ||||
| T. A. Beermann Germany | 1 | 2 0.7× | 2 1.0× | 1 1.0× | 2 | 5 | ||||
| Manyu Ding China | 2 | 2 0.7× | 2 1.0× | 3 | 6 | |||||
| D. Zou China | 2 | 2 0.7× | 2 1.0× | 1 1.0× | 4 | 4 | ||||
| C. Q. Feng China | 2 | 2 0.7× | 2 1.0× | 1 1.0× | 6 | 8 | ||||
| Bobby Bachry Indonesia | 2 | 4 1.3× | 3 1.5× | 1 1.0× | 1 1.0× | 7 | 6 |
Countries citing papers authored by Devi Fitriani
This map shows the geographic impact of Devi Fitriani'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 Devi Fitriani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi Fitriani more than expected).
Fields of papers citing papers by Devi Fitriani
This network shows the impact of papers produced by Devi Fitriani. 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 Devi Fitriani. The network helps show where Devi Fitriani 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.