Gregory J. Carbone

2.3k total citations · 1 hit paper
58 papers, 1.7k citations indexed

About

Gregory J. Carbone is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gregory J. Carbone has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 18 papers in Water Science and Technology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gregory J. Carbone's work include Hydrology and Drought Analysis (21 papers), Climate variability and models (21 papers) and Hydrology and Watershed Management Studies (17 papers). Gregory J. Carbone is often cited by papers focused on Hydrology and Drought Analysis (21 papers), Climate variability and models (21 papers) and Hydrology and Watershed Management Studies (17 papers). Gregory J. Carbone collaborates with scholars based in United States, Italy and Iran. Gregory J. Carbone's co-authors include Jinyoung Rhee, Jungho Im, Junyu Lu, Peng Gao, Kirstin Dow, John M. Grego, Brent Yarnal, Christine L. Jocoy, Robert E. O’Connor and S. Samadi and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Journal of Climate.

In The Last Decade

Gregory J. Carbone

53 papers receiving 1.6k citations

Hit Papers

Monitoring agricultural drought for arid and humid region... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Carbone United States 21 1.2k 376 373 291 271 58 1.7k
Zhan Tian China 21 762 0.6× 270 0.7× 305 0.8× 278 1.0× 178 0.7× 80 1.4k
Nicolas R. Dalezios Greece 21 899 0.7× 179 0.5× 389 1.0× 278 1.0× 249 0.9× 86 1.3k
Muhammad Usman Pakistan 21 619 0.5× 182 0.5× 358 1.0× 182 0.6× 163 0.6× 68 1.2k
J. T. Schoof United States 26 1.3k 1.0× 177 0.5× 371 1.0× 895 3.1× 132 0.5× 65 2.0k
Vishal Singh India 21 831 0.7× 204 0.5× 522 1.4× 465 1.6× 106 0.4× 63 1.5k
Frank Wechsung Germany 24 998 0.8× 269 0.7× 483 1.3× 504 1.7× 239 0.9× 55 1.8k
Seydou Traoré United States 25 931 0.8× 775 2.1× 267 0.7× 234 0.8× 230 0.8× 78 2.0k
He Yin United States 23 1.1k 0.9× 169 0.4× 237 0.6× 423 1.5× 959 3.5× 64 2.1k
Giriraj Amarnath Sri Lanka 24 847 0.7× 131 0.3× 374 1.0× 483 1.7× 282 1.0× 66 1.5k

Countries citing papers authored by Gregory J. Carbone

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Carbone. 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 Gregory J. Carbone. The network helps show where Gregory J. Carbone may publish in the future.

Co-authorship network of co-authors of Gregory J. Carbone

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Carbone. A scholar is included among the top collaborators of Gregory J. Carbone 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 Gregory J. Carbone. Gregory J. Carbone 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.
Brattich, Erika, et al.. (2022). Precipitation trends in North and South Carolina, USA. Journal of Hydrology Regional Studies. 44. 101201–101201. 6 indexed citations
2.
Lu, Junyu, et al.. (2020). Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950–2016. Agricultural and Forest Meteorology. 292-293. 108124–108124. 64 indexed citations
3.
Lu, Junyu, Gregory J. Carbone, & John M. Grego. (2019). Uncertainty and hotspots in 21st century projections of agricultural drought from CMIP5 models. Scientific Reports. 9(1). 4922–4922. 86 indexed citations
4.
Lu, Junyu, Gregory J. Carbone, & Peng Gao. (2019). Mapping the agricultural drought based on the long-term AVHRR NDVI and North American Regional Reanalysis (NARR) in the United States, 1981–2013. Applied Geography. 104. 10–20. 36 indexed citations
5.
Gao, Peng, Gregory J. Carbone, & Junyu Lu. (2018). Flood Simulation in South Carolina Watersheds Using Different Precipitation Inputs. Advances in Meteorology. 2018. 1–10. 5 indexed citations
6.
Carbone, Gregory J., Junyu Lu, & Michele Brunetti. (2018). Estimating uncertainty associated with the standardized precipitation index. International Journal of Climatology. 38(S1). 31 indexed citations
7.
Gao, Peng, Gregory J. Carbone, Junyu Lu, & Diansheng Guo. (2017). An Area‐Based Approach for Estimating Extreme Precipitation Probability. Geographical Analysis. 50(3). 314–333. 6 indexed citations
8.
Carbone, Gregory J., et al.. (2016). Climate change: the result of an economic model strategy oriented towards trade approach. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1 indexed citations
9.
Gao, Peng, Gregory J. Carbone, & Diansheng Guo. (2015). Assessment of NARCCAP model in simulating rainfall extremes using a spatially constrained regionalization method. International Journal of Climatology. 36(5). 2368–2378. 8 indexed citations
10.
Peltier, Edward & Gregory J. Carbone. (2011). Bioretention Design and Performance in Johnson County, KS. World Environmental and Water Resources Congress 2011. 85. 356–363.
11.
Rhee, Jinyoung & Gregory J. Carbone. (2010). Estimating Drought Conditions for Regions with Limited Precipitation Data. Journal of Applied Meteorology and Climatology. 50(3). 548–559. 10 indexed citations
12.
Carbone, Gregory J., et al.. (2010). Addressing monitoring needs for drought management. 2 indexed citations
13.
Carbone, Gregory J., et al.. (2008). DECISION SUPPORT: A Regional-Scale Drought Monitoring Tool for the Carolinas. Bulletin of the American Meteorological Society. 89(1). 20–28. 23 indexed citations
14.
Rhee, Jinyoung, Gregory J. Carbone, & James R. Hussey. (2008). Drought Index Mapping at Different Spatial Units. Journal of Hydrometeorology. 9(6). 1523–1534. 19 indexed citations
15.
Magnúsdóttir, Guðrún, E. J. Barron, Joyce E. Penner, et al.. (2007). Climate Variability and Change. eScholarship (California Digital Library). 2 indexed citations
16.
O’Connor, Robert E., Brent Yarnal, Kirstin Dow, Christine L. Jocoy, & Gregory J. Carbone. (2005). Feeling at Risk Matters: Water Managers and the Decision to Use Forecasts. Risk Analysis. 25(5). 1265–1275. 88 indexed citations
17.
Carbone, Gregory J., Anthony M. Filippi, E. J. Sadler, et al.. (2000). Using remote sensing and modeling to measure crop biophysical variability.. 1–16. 4 indexed citations
18.
Schwartz, Mark D., Gregory J. Carbone, G.L. Reighard, & W.R. Okie. (1997). A Model to Predict Peach Phenology and Maturity Using Meteorological Variables. HortScience. 32(2). 213–216. 25 indexed citations
19.
Carbone, Gregory J., Sunil Narumalani, & Michael D. King. (1996). Application of remote sensing and GIS technologies with physiological crop models. Photogrammetric Engineering & Remote Sensing. 62(2). 171–179. 30 indexed citations
20.
Carbone, Gregory J., et al.. (1995). Translating monthly temperature from regional to local scale in the southeastern United States. Climate Research. 5. 229–242. 11 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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