E. Lynn Usery

1.7k total citations
66 papers, 1.1k citations indexed

About

E. Lynn Usery is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, E. Lynn Usery has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Geography, Planning and Development, 20 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in E. Lynn Usery's work include Geographic Information Systems Studies (34 papers), Data Management and Algorithms (20 papers) and Historical Geography and Cartography (12 papers). E. Lynn Usery is often cited by papers focused on Geographic Information Systems Studies (34 papers), Data Management and Algorithms (20 papers) and Historical Geography and Cartography (12 papers). E. Lynn Usery collaborates with scholars based in United States, United Kingdom and Slovakia. E. Lynn Usery's 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 and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and International Journal of Remote Sensing.

In The Last Decade

E. Lynn Usery

63 papers receiving 933 citations

Peers

E. Lynn Usery

GPD

GPC

Linwang Yuan China

Jingxiong Zhang China

Jia Song China

P.C. Smits Italy

Francisco Javier Ariza López Spain

Peter Woodgate Australia

P.F. Fisher United Kingdom

Genong Yu United States

Ziheng Sun United States

Lars Harrie Sweden

Linwang Yuan China

E. Lynn Usery

124 ×0.4

GPD

171 ×0.8

266 ×1.3

GPC

175 ×0.9

103 ×0.6

Citations per year, relative to E. Lynn Usery E. Lynn Usery (= 1×) peers Linwang Yuan

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

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20 of 20 papers shown

Wang, Shaowen, Lawrence V. Stanislawski, Ethan Shavers, et al.. (2024). Transfer learning with convolutional neural networks for hydrological streamline delineation. Environmental Modelling & Software. 181. 106165–106165. 6 indexed citations

Stanislawski, Lawrence V., Ethan Shavers, Shaowen Wang, et al.. (2021). Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. Remote Sensing. 13(12). 2368–2368. 26 indexed citations

Xu, Zewei, Shaowen Wang, Lawrence V. Stanislawski, et al.. (2021). An attention U-Net model for detection of fine-scale hydrologic streamlines. Environmental Modelling & Software. 140. 104992–104992. 44 indexed citations

Wagner, Matthew S., et al.. (2020). A system design for implementing advanced feature descriptions for a map knowledge base. Scientific investigations report. 2 indexed citations

Lapaine, Miljenko, et al.. (2020). To the 20 anniversary of ICA Commission on Map Projections of the International Cartographic Association (2003–2023). Geodesy and Cartography. 963(9). 44–52. 1 indexed citations

Usery, E. Lynn, et al.. (2016). A multidimensional representation model of geographic features. Antarctica A Keystone in a Changing World. 1 indexed citations

Arundel, Samantha T., et al.. (2015). PreparingThe National Mapfor the 3D Elevation Program – products, process and research. Cartography and Geographic Information Science. 42(sup1). 40–53. 23 indexed citations

Usery, E. Lynn, et al.. (2012). Design and development of linked data from The National Map. Semantic Web. 3(4). 371–384. 22 indexed citations

Choi, Jinmu & E. Lynn Usery. (2009). A Prototype Feature System for Feature Retrieval Using Relationships. Cartography and Geographic Information Science. 36(4). 331–345. 1 indexed citations

10.

Jordan, Thomas, et al.. (2008). GIS applications for military operations in coastal zones. ISPRS Journal of Photogrammetry and Remote Sensing. 64(2). 213–222. 16 indexed citations

11.

Finn, Michael P., et al.. (2006). An Interface between the Agricultural Non-Point Source (AGNPS) Pollution Model and the ERDAS Imagine Geographic Information System (GIS). 12(1). 10–20. 5 indexed citations

12.

McMahon, Gerard, Keith Clarke, Robert N. Fisher, et al.. (2005). Geography for a Changing World - A science strategy for the geographic research of the U.S. Geological Survey, 2005-2015. U.S. Geological Survey circular. 15 indexed citations

13.

Finn, Michael P., et al.. (2004). A decision support system for map projections of small scale data. Scientific investigations report. 5 indexed citations

14.

Usery, E. Lynn. (2003). Geographic regions of Georgia: overview. 1 indexed citations

15.

Usery, E. Lynn. (2003). ACCURATE PROJECTION OF SMALL-SCALE RASTER DATASETS. 6 indexed citations

16.

Usery, E. Lynn, et al.. (2002). Methods to achieve accurate projection of regional and global raster databases. Antarctica A Keystone in a Changing World. 1 indexed citations

17.

Seong, Jeong Chang & E. Lynn Usery. (2001). Assessing Raster Representation Accuracy Using a Scale Factor Model. Photogrammetric Engineering & Remote Sensing. 67(10). 1185–1191. 18 indexed citations

18.

Seong, Jeong Chang & E. Lynn Usery. (2001). Fuzzy Image Classification for Continental-Scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method. Dialnet (Universidad de la Rioja). 67(3). 287–294. 6 indexed citations

19.

Usery, E. Lynn. (1993). Category Theory and the Structure of Features in Geographic Information Systems. 20(1). 5–12. 25 indexed citations

20.

Usery, E. Lynn, et al.. (1988). Knowledge-based GIS techniques applied to geological engineering. Photogrammetric Engineering & Remote Sensing. 54(11). 1623–1628. 11 indexed citations

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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