Richard W. McCreight

426 total citations
9 papers, 350 citations indexed

About

Richard W. McCreight is a scholar working on Media Technology, Environmental Engineering and Ecology. According to data from OpenAlex, Richard W. McCreight has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 5 papers in Environmental Engineering and 3 papers in Ecology. Recurrent topics in Richard W. McCreight's work include Remote-Sensing Image Classification (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Remote Sensing in Agriculture (3 papers). Richard W. McCreight is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Remote Sensing in Agriculture (3 papers). Richard W. McCreight collaborates with scholars based in United States. Richard W. McCreight's co-authors include Richard H. Waring, F. A. Bazzaz, Michael L. Goulden, B. E. Law, Steven C. Wofsy, S. L. Bassow, Peng Gong, Jim Freemantle, Michael Spanner and John Miller and has published in prestigious journals such as Ecological Applications, Plant Cell & Environment and Photogrammetric Engineering & Remote Sensing.

In The Last Decade

Richard W. McCreight

9 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard W. McCreight United States 7 211 201 136 90 80 9 350
Glenn P. Catts United States 6 231 1.1× 135 0.7× 328 2.4× 120 1.3× 39 0.5× 11 470
Samuli Junttila Finland 16 263 1.2× 175 0.9× 303 2.2× 177 2.0× 103 1.3× 40 532
J. Rubio France 6 284 1.3× 188 0.9× 306 2.3× 64 0.7× 56 0.7× 12 422
Nicolò Camarretta Germany 11 196 0.9× 193 1.0× 197 1.4× 137 1.5× 39 0.5× 27 411
Jasmine Muir Australia 11 276 1.3× 123 0.6× 297 2.2× 104 1.2× 73 0.9× 15 497
Diego Giuliarelli Italy 13 146 0.7× 149 0.7× 149 1.1× 121 1.3× 61 0.8× 23 367
Robert A. Chastain United States 9 345 1.6× 227 1.1× 154 1.1× 96 1.1× 63 0.8× 12 494
Veronique V. Cheret France 10 300 1.4× 265 1.3× 123 0.9× 56 0.6× 88 1.1× 19 448
G. L. Anderson United States 9 278 1.3× 117 0.6× 117 0.9× 87 1.0× 107 1.3× 17 409
J.R.G. Townshend United States 6 224 1.1× 194 1.0× 72 0.5× 34 0.4× 39 0.5× 16 316

Countries citing papers authored by Richard W. McCreight

Since Specialization
Citations

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

Fields of papers citing papers by Richard W. McCreight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard W. McCreight. 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 Richard W. McCreight. The network helps show where Richard W. McCreight may publish in the future.

Co-authorship network of co-authors of Richard W. McCreight

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

All Works

9 of 9 papers shown
1.
Coulter, Lloyd L., et al.. (2019). Assessment of automated multitemporal image co-registration using repeat station imaging techniques. GIScience & Remote Sensing. 56(8). 1192–1209. 5 indexed citations
2.
Stow, Douglas A., et al.. (2016). Evaluation of Geometric Elements of Repeat Station Imaging and Registration. Photogrammetric Engineering & Remote Sensing. 82(10). 775–789. 10 indexed citations
3.
Coulter, Lloyd L., et al.. (2012). A new paradigm for persistent wide area surveillance. 51–60. 2 indexed citations
4.
Coulter, Lloyd L., et al.. (2012). AUTOMATED DETECTION OF PEOPLE AND VEHICLES IN NATURAL ENVIRONMENTS USING HIGH TEMPORAL RESOLUTION AIRBORNE REMOTE SENSING. 10 indexed citations
5.
Coulter, Lloyd L., Christopher D. Lippitt, Douglas A. Stow, & Richard W. McCreight. (2011). NEAR REAL-TIME CHANGE DETECTION FOR BORDER MONITORING. 11 indexed citations
6.
Franklin, Steven E., Richard H. Waring, Richard W. McCreight, Warren B. Cohen, & Maria Fiorella. (1995). Aerial and Satellite Sensor Detection and Classification of Western Spruce Budworm Defoliation in a Subalpine Forest. Canadian Journal of Remote Sensing. 21(3). 299–308. 36 indexed citations
7.
Waring, Richard H., B. E. Law, Michael L. Goulden, et al.. (1995). Scaling gross ecosystem production at Harvard Forest with remote sensing: a comparison of estimates from a constrained quantum‐use efficiency model and eddy correlation. Plant Cell & Environment. 18(10). 1201–1213. 118 indexed citations
8.
Spanner, Michael, Lee Johnson, John Miller, et al.. (1994). Remote Sensing of Seasonal Leaf Area Index Across the Oregon Transect. Ecological Applications. 4(2). 258–271. 103 indexed citations
9.
Chan, Stephen, Richard W. McCreight, John D. Walstad, & Thomas A. Spies. (1986). Evaluating Forest Vegetative Cover with Computerized Analysis of Fisheye Photographs. Forest Science. 32(4). 1085–1091. 55 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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