Daniel Gann

1.0k citations
29 papers · 800 · 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 5

Daniel Gann

28 papers receiving 779 citations

Peers

Daniel Gann
Comparison fields: 5 of 55
  • Water Science and Technology 380
  • Global and Planetary Change 485
  • Environmental Engineering 205
  • Soil Science 102
  • Ecology 257
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011385
2 2019118
3 201695
4 202244
5 201137
6 201922
7 201813
8 202013
9 202013
10 20108
11 20197
12 20226
13 20226
14 20225
15 20225
16 20253
17 20243
18 20223
19
Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades
20123
20
Evaluating High-Resolution Aerial Photography Acquired by Unmanned Aerial Systems for Use in Mapping Everglades Wetland Plant Associations
20132

About Daniel Gann

Daniel Gann is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Earth-Surface Processes and Water Science and Technology, having authored 29 papers that have together received 800 indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (10 papers), Land Use and Ecosystem Services (7 papers), Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (6 papers), Flood Risk Assessment and Management (5 papers), Coastal and Marine Dynamics (4 papers), Hydrology and Watershed Management Studies (4 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Water Science and Technology (380 citations), Global and Planetary Change (485 citations), Environmental Engineering (205 citations), Soil Science (102 citations) and Ecology (257 citations). Daniel Gann has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Assefa M. Melesse, Shimelis Gebriye Setegn, Michael E. McClain, Keqi Zhang, Michael S. Ross, Bina Thapa, Jamie Rhome, Juan Pablo Sarmiento, Cody Fritz and Shimon Wdowinski. Their work appears in journals such as Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, Wetlands and Landscape 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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