Pete W. Jacoby

978 total citations
44 papers, 752 citations indexed

About

Pete W. Jacoby is a scholar working on Plant Science, Global and Planetary Change and Insect Science. According to data from OpenAlex, Pete W. Jacoby has authored 44 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 16 papers in Global and Planetary Change and 13 papers in Insect Science. Recurrent topics in Pete W. Jacoby's work include Horticultural and Viticultural Research (16 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Bee Products Chemical Analysis (11 papers). Pete W. Jacoby is often cited by papers focused on Horticultural and Viticultural Research (16 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Bee Products Chemical Analysis (11 papers). Pete W. Jacoby collaborates with scholars based in United States, Chile and Sri Lanka. Pete W. Jacoby's co-authors include R. James Ansley, Lav R. Khot, Sindhuja Sankaran, Carlos Zúñiga Espinoza, Karen Sanguinet, Michael A. Foster, Thomas W. Boutton, David L. Price, S. L. Dowhower and R. K. Heitschmidt and has published in prestigious journals such as Frontiers in Plant Science, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Pete W. Jacoby

43 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pete W. Jacoby United States 15 383 330 281 174 132 44 752
Kevin Black Ireland 15 263 0.7× 342 1.0× 120 0.4× 204 1.2× 131 1.0× 41 742
Michele Schoeneberger United States 15 280 0.7× 341 1.0× 121 0.4× 243 1.4× 214 1.6× 37 886
Andrew R. Gillespie United States 17 330 0.9× 366 1.1× 134 0.5× 367 2.1× 79 0.6× 27 927
A. K. Mitchell Canada 16 376 1.0× 488 1.5× 189 0.7× 533 3.1× 100 0.8× 32 946
Jean Dauzat France 24 941 2.5× 697 2.1× 327 1.2× 255 1.5× 134 1.0× 66 1.6k
Theodor D. Leininger United States 16 192 0.5× 258 0.8× 166 0.6× 233 1.3× 63 0.5× 75 711
Andrea Pitacco Italy 19 678 1.8× 834 2.5× 202 0.7× 105 0.6× 233 1.8× 61 1.5k
Sebinasi Dzikiti South Africa 18 333 0.9× 649 2.0× 319 1.1× 229 1.3× 220 1.7× 54 1.1k
Zhong Zhao China 18 222 0.6× 225 0.7× 373 1.3× 196 1.1× 347 2.6× 48 829
C. K. Ong United States 11 331 0.9× 604 1.8× 134 0.5× 302 1.7× 230 1.7× 20 1.1k

Countries citing papers authored by Pete W. Jacoby

Since Specialization
Citations

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

Fields of papers citing papers by Pete W. Jacoby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete W. Jacoby

This figure shows the co-authorship network connecting the top 25 collaborators of Pete W. Jacoby. A scholar is included among the top collaborators of Pete W. Jacoby 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 Pete W. Jacoby. Pete W. Jacoby 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.
Espinoza, Carlos Zúñiga, et al.. (2025). Multispectral, Thermal, and Hyperspectral Sensing Data Depict Stomatal Conductance in Grapevine. Remote Sensing. 17(1). 137–137. 2 indexed citations
2.
Jacoby, Pete W., et al.. (2020). Improving Net Photosynthetic Rate and Rooting Depth of Grapevines Through a Novel Irrigation Strategy in a Semi-Arid Climate. Frontiers in Plant Science. 11. 575303–575303. 18 indexed citations
3.
Chandel, Abhilash K., et al.. (2020). A mobile thermal-RGB imaging tool for mapping crop water stress of grapevines. 293–297. 3 indexed citations
4.
Sanguinet, Karen, et al.. (2020). Direct root-zone irrigation outperforms surface drip irrigation for grape yield and crop water use efficiency while restricting root growth. Agricultural Water Management. 231. 105993–105993. 41 indexed citations
5.
Espinoza, Carlos Zúñiga, et al.. (2018). Applicability of time-of-flight-based ground and multispectral aerial imaging for grapevine canopy vigour monitoring under direct root-zone deficit irrigation. International Journal of Remote Sensing. 39(23). 8818–8836. 5 indexed citations
6.
Espinoza, Carlos Zúñiga, Lav R. Khot, Sindhuja Sankaran, & Pete W. Jacoby. (2017). High Resolution Multispectral and Thermal Remote Sensing-Based Water Stress Assessment in Subsurface Irrigated Grapevines. Remote Sensing. 9(9). 961–961. 120 indexed citations
7.
Khot, Lav R., et al.. (2016). Remote sensing based water-use efficiency evaluation in sub-surface irrigated wine grape vines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9866. 98660O–98660O. 9 indexed citations
8.
Felker, Péter, et al.. (1998). Growth, cold-hardiness, protein content, and digestibility of 70 Leucaena seedlots on three sites in Texas, USA. Agroforestry Systems. 42(2). 159–179. 5 indexed citations
9.
Cuomo, Chris J., R. James Ansley, Pete W. Jacoby, & Ronald E. Sosebee. (1992). Honey Mesquite Transpiration along a Vertical Site Gradient. Journal of Range Management. 45(4). 334–334. 10 indexed citations
10.
Jacoby, Pete W., et al.. (1991). Late Season Control of Honey Mesquite with Clopyralid. Journal of Range Management. 44(1). 56–56. 4 indexed citations
11.
Ansley, R. James, et al.. (1990). Preferential attraction of the twig girdler, Oncideres cingulata texana Horn, to moisture-stressed mesquite.. Southwestern Entomologist. 15(4). 469–474. 8 indexed citations
12.
Ansley, R. James, et al.. (1990). Water Relations of Honey Mesquite following Severing of Lateral Roots: Influence of Location and Amount of Subsurface Water. Journal of Range Management. 43(5). 436–436. 41 indexed citations
13.
Ansley, R. James, et al.. (1988). A Truck-Mounted Mobile Screen for Photodigital Estimation of Whole Plant Leaf Area. Journal of Range Management. 41(4). 355–355. 2 indexed citations
14.
Jacoby, Pete W., et al.. (1988). Design of Rain Shelters for Studying Water Relations of Rangeland Shrubs. Journal of Range Management. 41(1). 83–83. 12 indexed citations
15.
Jacoby, Pete W., et al.. (1985). A Tool for Sampling Flat Jointed Opuntia. Journal of Range Management. 38(1). 94–94. 4 indexed citations
16.
Jacoby, Pete W., et al.. (1984). Effects of Herbicides on Germination and Seedling Development of Three Native Grasses. Journal of Range Management. 37(1). 40–40. 8 indexed citations
17.
Foster, Michael A., C. J. Scifres, & Pete W. Jacoby. (1984). Phenological Development of Lotebush, Ziziphus obtusifolia (Rhamnaceae), in North Texas. The Southwestern Naturalist. 29(4). 516–516. 1 indexed citations
18.
Jacoby, Pete W., et al.. (1983). Triclopyr for Control of Honey Mesquite (Prosopis julifloravar.glandulosa). Weed Science. 31(5). 681–685. 10 indexed citations
19.
Jacoby, Pete W., et al.. (1982). Control of Creosotebush (Larrea tridentata) with Pelleted Tebuthiuron. Weed Science. 30(3). 307–310. 9 indexed citations
20.
Jacoby, Pete W., et al.. (1982). Control of Sand Shinnery Oak (Quercus havardii) with Pelleted Picloram and Tebuthiuron. Weed Science. 30(6). 594–597. 5 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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