Daniel Gann

1.0k citations
28 papers · 694 · h-index 9

Impact in

Papers in

    • Coastal wetland ecosystem dynamics 10
    • Remote Sensing in Agriculture 6
    • Land Use and Ecosystem Services 7
    • Flood Risk Assessment and Management 4

Daniel Gann

26 papers receiving 674 citations

Peers

Daniel Gann
Comparison fields: 5 of 55
  • Water Science and Technology 323
  • Global and Planetary Change 406
  • Environmental Engineering 178
  • Ecology 233
  • Soil Science 86
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Citations per year

Countries citing papers authored by Daniel Gann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gann. 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 Daniel Gann. The network helps show where Daniel Gann may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Gann, 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 Daniel Gann Line = papers co-authored together Daniel Gann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011338
2 2019112
3 201692
4 202237
5 201921
6 202013
7 202013
8 201813
9 20108
10 20196
11 20226
12 20226
13 20225
14 20225
15
Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades
20123
16 20223
17 20242
18 20142
19
Miami-Dade County Urban Tree Canopy Assessment
20161
20 20221

About Daniel Gann

Daniel Gann is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Earth-Surface Processes and Atmospheric Science, having authored 28 papers that have together received 694 indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (10 papers), Land Use and Ecosystem Services (7 papers), Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (6 papers), Flood Risk Assessment and Management (4 papers), Coastal and Marine Dynamics (4 papers), Hydrology and Watershed Management Studies (3 papers) and Urban Green Space and Health (2 papers). The work is most often cited by research in Water Science and Technology (323 citations), Global and Planetary Change (406 citations), Environmental Engineering (178 citations), Ecology (233 citations) and Soil Science (86 citations). Daniel Gann has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Assefa M. Melesse, Shimelis Gebriye Setegn, Michael E. McClain, Michael S. Ross, Keqi Zhang, Bina Thapa, Jamie Rhome, Juan Pablo Sarmiento, Jennifer H. Richards and Shimon Wdowinski. Their work appears in journals such as Remote Sensing, Remote Sensing of Environment, Forests, Wetlands and Journal of Ecology.

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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