Peter B. Goodell

1.1k total citations
31 papers, 361 citations indexed

About

Peter B. Goodell is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Peter B. Goodell has authored 31 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Insect Science, 14 papers in Plant Science and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Peter B. Goodell's work include Insect-Plant Interactions and Control (17 papers), Insect and Pesticide Research (7 papers) and Hemiptera Insect Studies (5 papers). Peter B. Goodell is often cited by papers focused on Insect-Plant Interactions and Control (17 papers), Insect and Pesticide Research (7 papers) and Hemiptera Insect Studies (5 papers). Peter B. Goodell collaborates with scholars based in United States, Czechia and Canada. Peter B. Goodell's co-authors include Michael J. Brewer, Jay A. Rosenheim, Elizabeth E. Grafton‐Cardwell, L. D. Godfrey, Thomas F. Leigh, Lawrence R. Wilhoit, Peter C. Ellsworth, Steven E. Naranjo, Pierre Dutilleul and Guillaume Larocque and has published in prestigious journals such as PLoS ONE, Annual Review of Entomology and Oecologia.

In The Last Decade

Peter B. Goodell

28 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter B. Goodell United States 10 257 177 119 56 42 31 361
R. A. Butts Canada 12 254 1.0× 189 1.1× 114 1.0× 61 1.1× 33 0.8× 21 358
Bernd Freier Germany 11 354 1.4× 273 1.5× 162 1.4× 57 1.0× 67 1.6× 74 469
Z. Klukowski Poland 7 187 0.7× 151 0.9× 80 0.7× 86 1.5× 45 1.1× 41 278
E. den Belder Netherlands 9 214 0.8× 253 1.4× 77 0.6× 61 1.1× 16 0.4× 33 365
Bernd Ulber Germany 11 223 0.9× 285 1.6× 69 0.6× 127 2.3× 33 0.8× 50 395
Deirdre A. Prischmann‐Voldseth United States 11 259 1.0× 202 1.1× 148 1.2× 79 1.4× 30 0.7× 34 371
Douglas B. Jones United States 11 314 1.2× 301 1.7× 75 0.6× 54 1.0× 85 2.0× 17 462
Anthony Hanson United States 9 156 0.6× 147 0.8× 56 0.5× 63 1.1× 45 1.1× 17 289
Souleymane Nacro Burkina Faso 11 173 0.7× 140 0.8× 110 0.9× 59 1.1× 29 0.7× 56 310
Lenita J. Oliveira Brazil 11 213 0.8× 207 1.2× 119 1.0× 131 2.3× 28 0.7× 26 379

Countries citing papers authored by Peter B. Goodell

Since Specialization
Citations

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

Fields of papers citing papers by Peter B. Goodell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter B. Goodell. 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 Peter B. Goodell. The network helps show where Peter B. Goodell may publish in the future.

Co-authorship network of co-authors of Peter B. Goodell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter B. Goodell. A scholar is included among the top collaborators of Peter B. Goodell 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 Peter B. Goodell. Peter B. Goodell 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.
Rosenheim, Jay A., et al.. (2019). Disease, contagious cannibalism, and associated population crash in an omnivorous bug, Geocoris pallens. Oecologia. 190(1). 69–83. 2 indexed citations
2.
Goodell, Peter B., et al.. (2014). Over 35 years, integrated pest management has reduced pest risks and pesticide use. California Agriculture. 68(4). 153–157. 6 indexed citations
3.
Carrière, Yves, Peter B. Goodell, Christa Ellers‐Kirk, et al.. (2012). Effects of Local and Landscape Factors on Population Dynamics of a Cotton Pest. PLoS ONE. 7(6). e39862–e39862. 49 indexed citations
4.
Goodell, Peter B.. (2011). Volatile Organic Compounds, Pesticides and IPM: Dealing with Air Quality Standards in Pest Management in California, USA. Outlooks on Pest Management. 22(1). 10–13. 3 indexed citations
5.
Brewer, Michael J. & Peter B. Goodell. (2011). Approaches and Incentives to Implement Integrated Pest Management that Addresses Regional and Environmental Issues. Annual Review of Entomology. 57(1). 41–59. 84 indexed citations
6.
Goodell, Peter B., J. M. Holland, Maarten van Helden, et al.. (2010). Integrated pest management at the landscape scale: tracing the tale of cotton IPM in the San Joaquin Valley of Central California.. 56. 55–61. 1 indexed citations
7.
Goodell, Peter B.. (2009). Fifty years of the integrated control concept: the role of landscape ecology in IPM in San Joaquin valley cotton. Pest Management Science. 65(12). 1293–1297. 25 indexed citations
8.
Goodell, Peter B. & Peter C. Ellsworth. (2008). Second International Lygus Symposium Asilomar Conference Grounds, Pacific Grove, California, April 15-19 2007. Journal of Insect Science. 8(49). 1–27. 4 indexed citations
9.
Pickett, Charles H., Kim A. Hoelmer, U. Kuhlmann, et al.. (2007). Establishment ofPeristenusdigoneutisandP. relictus(Hymenoptera: Braconidae) in California for the control ofLygusspp. (Heteroptera: Miridae). Biocontrol Science and Technology. 17(3). 261–272. 18 indexed citations
10.
Bancroft, J. S., Robert B. Hutmacher, L. D. Godfrey, et al.. (2006). Comparison of Sticky Cotton Indices and Sugar Composition. ˜The œjournal of cotton science/Journal of cotton science. 10(2). 2 indexed citations
11.
Summers, Charles G., et al.. (2005). Composition of Lygus species found in selected agronomic crops and weeds in the San Joaquin Valley, California. Southwestern Entomologist. 4 indexed citations
12.
Goodell, Peter B., et al.. (2004). Accuracy of cotton-planting forecasts assessed in the San Joaquin Valley. California Agriculture. 58(3). 164–168. 1 indexed citations
13.
Goodell, Peter B., et al.. (2003). Key Features of Common Lygus Species in the Central San Joaquin Valley. 2 indexed citations
14.
Grafton‐Cardwell, Elizabeth E., et al.. (2000). Trends in pest densities, pesticide use, and pesticide resistance in San Joaquin valley cotton. 2000. 988–991. 2 indexed citations
15.
Goodell, Peter B., et al.. (2000). Managing western tarnished plant bug (Lygus hesperus) in a regional context.. 1123–1125. 3 indexed citations
16.
Goodell, Peter B., et al.. (1998). Lygus bug management with insecticides.. Europe PMC (PubMed Central). 2. 944–947. 1 indexed citations
17.
Grafton‐Cardwell, Elizabeth E., L. D. Godfrey, William A. Brindley, & Peter B. Goodell. (1997). Status of Lygus bug and cotton aphid resistance in the San Joaquin Valley. 9 indexed citations
18.
Grafton‐Cardwell, Elizabeth E., Thomas F. Leigh, W. J. Bentley, & Peter B. Goodell. (1992). In the San Joaquin Valley, cotton aphids have become resistant to commonly used pesticides. California Agriculture. 46(4). 4–7. 11 indexed citations
19.
Goodell, Peter B., et al.. (1990). IPM: CALEW Cotton: an integrated expert system for cotton production and management. California Agriculture. 44(5). 18–21. 14 indexed citations
20.
Goodell, Peter B., et al.. (1990). Strategies for implementing an integrated expert system in cotton: experience with CALEX/Cotton in California.. 100–101. 1 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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