Mirela G. Tulbure

2.8k citations
58 papers · 2.2k indexed · h-index 29

Mirela G. Tulbure

58 papers receiving 2.1k citations

Peers

Mirela G. Tulbure
Comparison fields: 5 of 80
  • Global and Planetary Change 1.2k
  • Ecological Modeling 219
  • Ecology 1.2k
  • Water Science and Technology 562
  • Environmental Engineering 448
Replace Taehee Hwang with:
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Citations per field
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Citations per year

Countries citing papers authored by Mirela G. Tulbure

Since Specialization
Citations

This map shows the geographic impact of Mirela G. Tulbure'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 Mirela G. Tulbure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirela G. Tulbure more than expected).

Fields of papers citing papers by Mirela G. Tulbure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mirela G. Tulbure. 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 Mirela G. Tulbure. The network helps show where Mirela G. Tulbure may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mirela G. Tulbure, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mirela G. Tulbure Line = papers co-authored together Mirela G. Tulbure links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20246
4 20241
5 202314
6 202216
7 20225
8 202136
9 202067
10 201857
11
Quantifying surface water extent and flooding in a dynamic dryland river system using the Harmonized Landsat/Sentinel-2 Reflectance Product
20181
12 201850
13
Quantifying South East Asia's forest degradation using latest generation optical and radar satellite remote sensing
20171
14
Mapping tree health using airborne laser scans and hyperspectral imagery: a case study for a floodplain eucalypt forest
20164
15 201637
16 201657
17 201497
18
Spatial and temporal dynamic of flooding and vegetation response to flooding using remotely sensed data in the Murray -Darling Basin, Australia
20131
19 2010192
20 200945

About Mirela G. Tulbure

Mirela G. Tulbure is a scholar working on Global and Planetary Change, Ecological Modeling and Ecology, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (16 papers), Remote Sensing in Agriculture (14 papers), Flood Risk Assessment and Management (11 papers), Remote Sensing and LiDAR Applications (10 papers), Coastal wetland ecosystem dynamics (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Peatlands and Wetlands Ecology (7 papers) and Wildlife Ecology and Conservation (6 papers). The work is most often cited by research in Global and Planetary Change (1.2k citations), Ecological Modeling (219 citations) and Ecology (1.2k citations). Mirela G. Tulbure has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Mark Broich, Carol A. Johnston, Stephen V. Stehman, Robbi Bishop‐Taylor, Anil Kommareddy, Valentin Heimhuber, Donald L. Auger, Michael C. Wimberly, Yuri Shendryk and W. Carter Johnson. Their work appears in journals such as Remote Sensing of Environment, Landscape Ecology, International Journal of Applied Earth Observation and Geoinformation, Ecological Applications and Journal of Great Lakes Research.

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.

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