DeVerle P. Harris

909 total citations
37 papers, 651 citations indexed

About

DeVerle P. Harris is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, DeVerle P. Harris has authored 37 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 12 papers in Mechanical Engineering. Recurrent topics in DeVerle P. Harris's work include Geochemistry and Geologic Mapping (23 papers), Mining Techniques and Economics (13 papers) and Mineral Processing and Grinding (8 papers). DeVerle P. Harris is often cited by papers focused on Geochemistry and Geologic Mapping (23 papers), Mining Techniques and Economics (13 papers) and Mineral Processing and Grinding (8 papers). DeVerle P. Harris collaborates with scholars based in United States, Netherlands and Malaysia. DeVerle P. Harris's co-authors include Guocheng Pan, Lukas Zürcher, Michael Stanley, Richard J. Brazee, G. M. van Essen, J. D. Jansen, Sippe G. Douma, D. R. Brouwer, Saul B. Suslick and M. J. Zandvliet and has published in prestigious journals such as Journal of the American Statistical Association, Economic Geology and Computers & Geosciences.

In The Last Decade

DeVerle P. Harris

35 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DeVerle P. Harris United States 13 484 232 231 154 89 37 651
Guocheng Pan United States 13 489 1.0× 227 1.0× 252 1.1× 165 1.1× 81 0.9× 36 593
Shouyu Chen China 14 319 0.7× 145 0.6× 134 0.6× 112 0.7× 174 2.0× 54 659
Ryoichi Kouda Japan 9 411 0.8× 178 0.8× 201 0.9× 137 0.9× 94 1.1× 27 482
Donald A. Singer United States 9 210 0.4× 72 0.3× 81 0.4× 48 0.3× 58 0.7× 17 286
Behnam Sadeghi Australia 18 786 1.6× 208 0.9× 340 1.5× 366 2.4× 170 1.9× 53 895
Vladimir Lisitsin Australia 11 455 0.9× 88 0.4× 135 0.6× 97 0.6× 295 3.3× 18 552
Zhao Peng-da China 11 228 0.5× 71 0.3× 79 0.3× 67 0.4× 113 1.3× 42 365
Warick Brown Australia 8 443 0.9× 198 0.9× 171 0.7× 154 1.0× 139 1.6× 19 549
Richard Sinding-Larsen Norway 8 141 0.3× 65 0.3× 81 0.4× 27 0.2× 20 0.2× 24 291
Richard B. McCammon United States 12 228 0.5× 57 0.2× 99 0.4× 27 0.2× 54 0.6× 52 441

Countries citing papers authored by DeVerle P. Harris

Since Specialization
Citations

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

Fields of papers citing papers by DeVerle P. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DeVerle P. Harris. 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 DeVerle P. Harris. The network helps show where DeVerle P. Harris may publish in the future.

Co-authorship network of co-authors of DeVerle P. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of DeVerle P. Harris. A scholar is included among the top collaborators of DeVerle P. Harris 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 DeVerle P. Harris. DeVerle P. Harris 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
1.
Harris, DeVerle P., et al.. (2009). A Method for the Selection of Exploration Areas for Unconformity Uranium Deposits. Natural Resources Research. 18(2). 3 indexed citations
2.
Harris, DeVerle P., et al.. (2003). A Comparative Analysis of Favorability Mappings by Weights of Evidence, Probabilistic Neural Networks, Discriminant Analysis, and Logistic Regression. Natural Resources Research. 12(4). 241–255. 95 indexed citations
3.
Harris, DeVerle P., et al.. (2002). AN ECONOMIC ASSESSMENT OF GROUND WATER RECHARGE IN THE TUCSON BASIN1. JAWRA Journal of the American Water Resources Association. 38(1). 119–131. 8 indexed citations
4.
Pan, Guocheng & DeVerle P. Harris. (2000). Information synthesis for mineral exploration. Medical Entomology and Zoology. 112 indexed citations
5.
Harris, DeVerle P. & Guocheng Pan. (1999). Mineral Favorability Mapping: A Comparison of Artificial Neural Networks, Logistic Regression, and Discriminant Analysis. Natural Resources Research. 8(2). 93–109. 118 indexed citations
6.
Harris, DeVerle P., et al.. (1996). Commentary and critique of “accounting for mineral resources: Issues and BEA's initial estimates”. Natural Resources Research. 5(1). 7–21. 1 indexed citations
7.
Kim, Hyosun & DeVerle P. Harris. (1996). Air quality and view degradations due to copper mining and milling: Preliminary analysis and cost estimates for Green Valley, Arizona. Natural Resources Research. 5(2). 91–102. 3 indexed citations
8.
Harris, DeVerle P., et al.. (1995). A comparison of state space and multiple regression for monthly forecasts: U.S. Fuel consumption. Natural Resources Research. 4(4). 325–339. 3 indexed citations
9.
Pan, Guocheng & DeVerle P. Harris. (1993). The latest trend tracing model for projection of mineral demand. Natural Resources Research. 2(1). 31–38. 2 indexed citations
10.
Pan, Guocheng & DeVerle P. Harris. (1993). Delineation of intrinsic geological units. Mathematical Geology. 25(1). 9–39. 2 indexed citations
11.
Pan, Guocheng, et al.. (1992). Fundamental issues in quantitative estimation of mineral resources. Natural Resources Research. 1(4). 281–292. 8 indexed citations
12.
Pan, Guoqing & DeVerle P. Harris. (1992). The Related Information Approach to the Integration of Diverse Geological Data and Mineral Resources Estimation.. 969–979. 3 indexed citations
13.
Harris, DeVerle P., et al.. (1992). Econometric and learning curve estimation of U.S. potential oil supply. Natural Resources Research. 1(4). 323–347. 4 indexed citations
14.
Pan, Guocheng & DeVerle P. Harris. (1992). Estimating a favorability equation for the integration of geodata and selection of mineral exploration targets. Mathematical Geology. 24(2). 177–202. 24 indexed citations
15.
Harris, DeVerle P., et al.. (1992). Estimation of the potential supply of U.S. oil by life cycle and learning models. Natural Resources Research. 1(3). 239–252. 5 indexed citations
16.
Harris, DeVerle P.. (1990). Mineral Exploration Decisions: A Guide to Economic Analysis and Modeling. Medical Entomology and Zoology. 14 indexed citations
17.
Suslick, Saul B. & DeVerle P. Harris. (1990). Long-range metal consumption forecasts using innovative methods. Resources Policy. 16(3). 184–199. 6 indexed citations
18.
Brazee, Richard J. & DeVerle P. Harris. (1985). Mineral Resources Appraisal.. Journal of the American Statistical Association. 80(392). 1063–1063. 27 indexed citations
19.
Harris, DeVerle P.. (1984). Mineral resources appraisal : mineral endowment, resources, and potential supply : concepts, methods and cases. Oxford University Press eBooks. 54 indexed citations
20.
Harris, DeVerle P.. (1977). Conventional crude oil resources of the United States: recent estimates, methods for estimation, and policy considerations. 15 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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