E. Lynn Usery

1.7k citations
66 papers · 1.1k indexed · h-index 19

E. Lynn Usery

63 papers receiving 933 citations

Peers

E. Lynn Usery
Comparison fields: 5 of 113
  • Geography, Planning and Development 321
  • Signal Processing 215
  • Global and Planetary Change 211
  • Artificial Intelligence 199
  • Media Technology 163
Replace Jingxiong Zhang with:
Jingxiong Zhang China
Peter Woodgate Australia
P.F. Fisher United Kingdom
Ziheng Sun United States
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Yehua Sheng China
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E. Lynn Usery relative to Jingxiong Zhang China Jingxiong Zhang's profile →
Citations per field
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Countries citing papers authored by E. Lynn Usery

Since Specialization
Citations

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

Fields of papers citing papers by E. Lynn Usery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Lynn Usery. 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 E. Lynn Usery. The network helps show where E. Lynn Usery may publish in the future.

Co-authorship network of co-authors of E. Lynn Usery

This figure shows the co-authorship network connecting the top 25 collaborators of E. Lynn Usery. A scholar is included among the top collaborators of E. Lynn Usery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Lynn Usery. E. Lynn Usery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 26
3 44
4 2
5 1
6 1
7 23
8 22
9 1
10 16
11 5
12 15
13 5
14
Geographic regions of Georgia: overview
1
15
ACCURATE PROJECTION OF SMALL-SCALE RASTER DATASETS
6
16 1
17
Assessing Raster Representation Accuracy Using a Scale Factor Model
18
18
Fuzzy Image Classification for Continental-Scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method
6
19 25
20
Knowledge-based GIS techniques applied to geological engineering
11

About E. Lynn Usery

E. Lynn Usery is a scholar working on Geography, Planning and Development, Signal Processing and Geochemistry and Petrology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (34 papers), Data Management and Algorithms (20 papers) and Historical Geography and Cartography (12 papers). The work is most often cited by research in Geography, Planning and Development (321 citations), Signal Processing (215 citations) and Media Technology (163 citations). E. Lynn Usery has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Michael P. Finn, Marguerite Madden, Jeong Chang Seong, Jean‐Claude Thill, Manfred Ehlers, Shuo-sheng Wu, Xiaomin Qiu, Le Wang, Sarah E. Battersby and David D. Bosch. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and International Journal of Remote Sensing.

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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