L. R. Tinney

472 total citations
16 papers, 343 citations indexed

About

L. R. Tinney is a scholar working on Ecology, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, L. R. Tinney has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 5 papers in Water Science and Technology and 4 papers in Ocean Engineering. Recurrent topics in L. R. Tinney's work include Remote Sensing in Agriculture (6 papers), Water Quality Monitoring Technologies (3 papers) and Water resources management and optimization (3 papers). L. R. Tinney is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Water Quality Monitoring Technologies (3 papers) and Water resources management and optimization (3 papers). L. R. Tinney collaborates with scholars based in United States. L. R. Tinney's co-authors include Russell G. Congalton, Ross S. Lunetta, Kenneth C. McGwire, John Jensen, John R. Jensen, J. E. Estes, John E. Estes, Douglas A. Stow, Michael E. Hodgson and H.E. Mackey and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Photogrammetric Engineering & Remote Sensing.

In The Last Decade

L. R. Tinney

16 papers receiving 291 citations

Peers

L. R. Tinney
K. Tempfli Hong Kong
Sam Gillingham New Zealand
Manfred Keil Germany
Alex Ip Australia
John L. Faundeen United States
L. R. Tinney
Citations per year, relative to L. R. Tinney L. R. Tinney (= 1×) peers J. Mégier

Countries citing papers authored by L. R. Tinney

Since Specialization
Citations

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

Fields of papers citing papers by L. R. Tinney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. R. Tinney. 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 L. R. Tinney. The network helps show where L. R. Tinney may publish in the future.

Co-authorship network of co-authors of L. R. Tinney

This figure shows the co-authorship network connecting the top 25 collaborators of L. R. Tinney. A scholar is included among the top collaborators of L. R. Tinney 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 L. R. Tinney. L. R. Tinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Tinney, L. R., et al.. (1996). Image Registration using Multiquadric Functions, the Finite Element Method, Bivariate Mapping Polynomials and Thin Plate Spline (96-1). eScholarship (California Digital Library). 21 indexed citations
2.
Lunetta, Ross S., et al.. (1991). Remote Sensing and Geographic Information System Data Integration: Error Sources and Research Issues.. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 150 indexed citations
3.
Estes, John E., et al.. (1986). APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO REMOTE SENSING∗. The Professional Geographer. 38(2). 133–141. 23 indexed citations
4.
Jensen, John R., Michael E. Hodgson, E. Christensen, et al.. (1985). Remote sensing inland wetlands: a multispectral approach. Photogrammetric Engineering & Remote Sensing. 52(1). 87–100. 65 indexed citations
5.
Tinney, L. R., et al.. (1984). Effect of soil background on vegetation discrimination using landsat data. Remote Sensing of Environment. 16(3). 233–242. 14 indexed citations
6.
Tinney, L. R., et al.. (1981). Application of remote sensing for California irrigated lands assessment. NASA Technical Reports Server (NASA). 3 indexed citations
7.
Stow, Douglas A., L. R. Tinney, & J. E. Estes. (1980). Deriving land use/land cover change statistics from Landsat - A study of prime agricultural land. 36 indexed citations
8.
Colwell, R. N., J. E. Estes, & L. R. Tinney. (1980). Irrigated lands assessment for water management Applications Pilot Test (APT). NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
9.
Jensen, J.R., et al.. (1978). HIGH-ALTITUDE VERSES LANDSAT IMAGERY FOR DIGITAL CROP IDENTIFICATION. Photogrammetric Engineering & Remote Sensing. 44(6). 2 indexed citations
10.
Estes, John E., John R. Jensen, & L. R. Tinney. (1978). Remote sensing of agricultural water demand information: A California study. Water Resources Research. 14(2). 170–176. 11 indexed citations
11.
Jensen, John R., et al.. (1977). Remote Sensing of Water Demand Information. Geographical Review. 67(3). 322–322. 3 indexed citations
12.
Estes, John E., John R. Jensen, & L. R. Tinney. (1977). The Use of Historical Photography for Mapping Archaeological Sites. Journal of Field Archaeology. 4(4). 441–441. 2 indexed citations
13.
Estes, John E., John R. Jensen, & L. R. Tinney. (1977). The Use of Historical Photography For Mapping Archaeological Sites. Journal of Field Archaeology. 4(4). 441–447. 5 indexed citations
14.
Jensen, John R., L. R. Tinney, & J. E. Estes. (1975). An analysis of the accuracy and cost-effectiveness of a cropland inventory utilizing remote sensing techniques. 1 indexed citations
15.
Estes, J. E., et al.. (1975). Remote sensing inputs to water demand modeling. NASA Technical Reports Server (NASA). 2 indexed citations
16.
Tinney, L. R., et al.. (1974). Operational use of satellite and high altitude remote sensing for the generation of input data for water demand models. 3 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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