James T. Moore

2.8k citations
91 papers · 1.9k · h-index 23

Impact in

Papers in

James T. Moore

86 papers receiving 1.7k citations

Peers

James T. Moore
Comparison fields: 5 of 137
  • Industrial and Manufacturing Engineering 343
  • Atmospheric Science 411
  • Numerical Analysis 113
  • Computational Theory and Mathematics 291
  • Global and Planetary Change 378
Replace Cheng‐Wu Chen with:
Cheng‐Wu Chen Taiwan
Xiao-Min Hu China
Albert Madansky United States
İnci Batmaz Türkiye
David Blockley United Kingdom
Ioannis E. Livieris Greece
Walter D. Fisher United States
Paul H. Randolph United States
G. E. P. Box United States
Ellen J. Bass United States
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Citations per field
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Citations per year

Countries citing papers authored by James T. Moore

Since Specialization
Citations

This map shows the geographic impact of James T. Moore'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 T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Moore more than expected).

Fields of papers citing papers by James T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James T. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James T. Moore Line = papers co-authored together James T. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990299
2 1990254
3 2003109
4 1992103
5
Recognition of depression by family medicine residents: the impact of screening.
197887
6 200583
7
Reactive Tabu Search in Unmanned Aerial Reconnaissance Simulations
201248
8 199243
9 200243
10 200240
11 199636
12 197635
13 199332
14 201032
15 199631
16 200928
17 198827
18 198126
19 199026
20 200425

About James T. Moore

James T. Moore is a scholar working on Atmospheric Science, Industrial and Manufacturing Engineering, Global and Planetary Change, Aerospace Engineering and Control and Systems Engineering, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (12 papers), Optimization and Packing Problems (8 papers), Vehicle Routing Optimization Methods (8 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Aging and Gerontology Research (6 papers), Tropical and Extratropical Cyclones Research (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (343 citations), Atmospheric Science (411 citations), Numerical Analysis (113 citations), Computational Theory and Mathematics (291 citations) and Global and Planetary Change (378 citations). James T. Moore has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Jonathan F. Bard, Charles E. Graves, Raymond R. Hill, James A. Bobula, Diana R. Silimperi, Martin A Baxter, Dennis H. Tolley, Thomas E. Lambert, Richard F. Deckro and Patrick S. Market. Their work appears in journals such as The Journal of Southern History, Weather and Forecasting, Mathematical and Computer Modelling, Monthly Weather Review and Academic Medicine.

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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