James E. Peak

406 total citations
20 papers, 309 citations indexed

About

James E. Peak is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, James E. Peak has authored 20 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 8 papers in Oceanography and 7 papers in Global and Planetary Change. Recurrent topics in James E. Peak's work include Meteorological Phenomena and Simulations (9 papers), Tropical and Extratropical Cyclones Research (8 papers) and Ocean Waves and Remote Sensing (6 papers). James E. Peak is often cited by papers focused on Meteorological Phenomena and Simulations (9 papers), Tropical and Extratropical Cyclones Research (8 papers) and Ocean Waves and Remote Sensing (6 papers). James E. Peak collaborates with scholars based in United States. James E. Peak's co-authors include Paul M. Tag, Russell L. Elsberry, Lester E. Carr, Wayne H. Schubert, Charles R. Sampson, James Cummings, Mark DeMaria, John A. Knaff, Krishna R. Pattipati and Lingyi Zhang and has published in prestigious journals such as Journal of Climate, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

James E. Peak

19 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Peak United States 10 184 144 64 60 36 20 309
Manil Maskey United States 9 247 1.3× 174 1.2× 101 1.6× 50 0.8× 80 2.2× 72 470
Ahmad Ghasemi Iran 12 169 0.9× 309 2.1× 37 0.6× 36 0.6× 24 0.7× 31 561
Kwangseob Kim South Korea 9 110 0.6× 82 0.6× 30 0.5× 23 0.4× 37 1.0× 47 307
Kaijun Ren China 10 134 0.7× 52 0.4× 129 2.0× 51 0.8× 36 1.0× 63 300
F. Badran France 9 98 0.5× 77 0.5× 194 3.0× 63 1.1× 98 2.7× 23 392
Richard L. Bankert United States 12 284 1.5× 266 1.8× 48 0.8× 69 1.1× 146 4.1× 25 540
R. C. Weger United States 10 223 1.2× 266 1.8× 19 0.3× 60 1.0× 112 3.1× 19 455
Thomas Vandal United States 9 244 1.3× 269 1.9× 18 0.3× 75 1.3× 28 0.8× 17 466
Hongwen Kang China 10 335 1.8× 373 2.6× 43 0.7× 42 0.7× 13 0.4× 16 509

Countries citing papers authored by James E. Peak

Since Specialization
Citations

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

Fields of papers citing papers by James E. Peak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Peak

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Peak. A scholar is included among the top collaborators of James E. Peak 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 James E. Peak. James E. Peak 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.
Zhang, Lingyi, et al.. (2016). A Multiobjective Path-Planning Algorithm With Time Windows for Asset Routing in a Dynamic Weather-Impacted Environment. IEEE Transactions on Systems Man and Cybernetics Systems. 47(12). 3256–3271. 46 indexed citations
2.
Knaff, John A., Mark DeMaria, Charles R. Sampson, et al.. (2012). Upper Oceanic Energy Response to Tropical Cyclone Passage. Journal of Climate. 26(8). 2631–2650. 45 indexed citations
3.
Jacobs, Pieter, et al.. (2007). Guidelines for Camouflage Assessment Using Observers. TNO Repository. 64. 15 indexed citations
4.
Kuciauskas, Arunas P., et al.. (2002). A Meteorological Fuzzy Expert System Incorporating Subjective User Input. Knowledge and Information Systems. 4(3). 350–369. 7 indexed citations
5.
Carr, Lester E., Russell L. Elsberry, & James E. Peak. (2001). Beta Test of the Systematic Approach Expert System Prototype as a Tropical Cyclone Track Forecasting Aid. Weather and Forecasting. 16(3). 355–368. 28 indexed citations
6.
Kuciauskas, Arunas P., et al.. (1998). A fuzzy expert system to assist in the prediction of hazardous wind conditions within the Mediterranean basin. Meteorological Applications. 5(4). 307–320. 9 indexed citations
7.
Fett, Robert W., et al.. (1997). Application of Hypermedia and Expert System Technology to Navy Environmental Satellite Image Analysis. Bulletin of the American Meteorological Society. 78(9). 1905–1915. 1 indexed citations
8.
Tag, Paul M. & James E. Peak. (1996). Machine Learning of Maritime Fog Forecast Rules. Journal of Applied Meteorology. 35(5). 714–724. 25 indexed citations
9.
Peak, James E., et al.. (1995). Artificial Intelligence Needs Workshop 4–5 November 1993, Boston, Massachusetts. Bulletin of the American Meteorological Society. 76(5). 728–738. 1 indexed citations
10.
Peak, James E. & Paul M. Tag. (1994). Segmentation of Satellite Imagery Using Hierarchical Thresholding and Neural Networks. Journal of Applied Meteorology. 33(5). 605–616. 49 indexed citations
11.
Peak, James E. & Paul M. Tag. (1992). Toward Automated Interpretation of Satellite Imagery for Navy Shipboard Applications. Bulletin of the American Meteorological Society. 73(7). 995–1008. 21 indexed citations
12.
Peak, James E.. (1991). Application of Neural Networks to Large-Scale Cloud Pattern Recognition. International Urology and Nephrology. 5(1). 117–23. 1 indexed citations
13.
Peak, James E. & Paul M. Tag. (1989). An Expert System Approach for Prediction of Maritime Visibility Obscuration. Monthly Weather Review. 117(12). 2641–2653. 13 indexed citations
14.
Wash, Carlyle H., et al.. (1988). Diagnostic Study of Explosive Cyclogenesis during FGGE. Monthly Weather Review. 116(2). 431–451. 21 indexed citations
15.
Peak, James E. & Russell L. Elsberry. (1987). Selection of Optimal Tropical Cyclone Motion Guidance Using an Objective Classification Tree Methodology. Monthly Weather Review. 115(9). 1851–1863. 1 indexed citations
16.
Elsberry, Russell L. & James E. Peak. (1986). An Evaluation of Tropical Cyclone Forecast Aids Based on Cross-Track and Along-Track Components. Monthly Weather Review. 114(1). 147–155. 4 indexed citations
17.
Peak, James E. & Russell L. Elsberry. (1986). Prediction of Tropical Cyclone Turning and Acceleration Using Empirical Orthogonal Function Representations. Monthly Weather Review. 114(1). 156–164. 5 indexed citations
18.
Peak, James E., William E. Wilson, Russell L. Elsberry, & Johnny C. L. Chan. (1986). Forecasting Tropical Cyclone Motion Using Empirical Orthogonal Function Representations of the Environmental Wind Fields. Monthly Weather Review. 114(12). 2466–2477. 3 indexed citations
19.
Peak, James E. & Russell L. Elsberry. (1984). Dynamical–Statistical Model Forecasts of Southern Hemisphere Tropical Cyclones. Monthly Weather Review. 112(4). 717–724. 2 indexed citations
20.
Orville, Harold D., et al.. (1981). Numerical simulation of the effects of cooling tower complexes on clouds and severe storms. Atmospheric Environment (1967). 15(5). 823–836. 12 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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