Martin Williams

4.0k total citations
177 papers, 2.7k citations indexed

About

Martin Williams is a scholar working on Plant Science, Agronomy and Crop Science and Economics and Econometrics. According to data from OpenAlex, Martin Williams has authored 177 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Plant Science, 61 papers in Agronomy and Crop Science and 36 papers in Economics and Econometrics. Recurrent topics in Martin Williams's work include Weed Control and Herbicide Applications (74 papers), Agronomic Practices and Intercropping Systems (34 papers) and Crop Yield and Soil Fertility (33 papers). Martin Williams is often cited by papers focused on Weed Control and Herbicide Applications (74 papers), Agronomic Practices and Intercropping Systems (34 papers) and Crop Yield and Soil Fertility (33 papers). Martin Williams collaborates with scholars based in United States, United Kingdom and Canada. Martin Williams's co-authors include J. K. Pataky, Adam S. Davis, Rick A. Boydston, John K. Mullen, Ronald L. Moomaw, David A. Mortensen, Prem S. Laumas, Chris M. Boerboom, Joanne C. Chee‐Sanford and Gerald K. Sims and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and The Science of The Total Environment.

In The Last Decade

Martin Williams

168 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Williams United States 29 1.6k 728 488 418 270 177 2.7k
George B. Frisvold United States 23 1.5k 1.0× 356 0.5× 287 0.6× 555 1.3× 262 1.0× 120 2.6k
Jorge Fernandez‐Cornejo United States 24 993 0.6× 130 0.2× 489 1.0× 184 0.4× 164 0.6× 72 1.9k
Ruifa Hu China 32 2.3k 1.4× 273 0.4× 472 1.0× 233 0.6× 623 2.3× 105 4.2k
M. van Dijk Netherlands 17 743 0.5× 220 0.3× 301 0.6× 117 0.3× 276 1.0× 75 2.6k
Bruce A. Babcock United States 34 502 0.3× 411 0.6× 1.8k 3.7× 116 0.3× 988 3.7× 209 3.8k
Keith O. Fuglie United States 30 735 0.5× 173 0.2× 1.2k 2.4× 99 0.2× 539 2.0× 122 3.4k
Roderick M. Rejesus United States 26 1.3k 0.8× 348 0.5× 503 1.0× 57 0.1× 973 3.6× 126 3.1k
Adrian Müller Switzerland 29 1.1k 0.7× 411 0.6× 359 0.7× 247 0.6× 700 2.6× 89 3.8k
Richard K. Perrin United States 20 439 0.3× 1.1k 1.5× 470 1.0× 58 0.1× 277 1.0× 78 2.4k
Nasir Mahmood Pakistan 22 427 0.3× 161 0.2× 1.8k 3.6× 495 1.2× 244 0.9× 68 2.9k

Countries citing papers authored by Martin Williams

Since Specialization
Citations

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

Fields of papers citing papers by Martin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Williams. 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 Martin Williams. The network helps show where Martin Williams may publish in the future.

Co-authorship network of co-authors of Martin Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Williams. A scholar is included among the top collaborators of Martin Williams 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 Martin Williams. Martin Williams 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.
Williams, Martin, et al.. (2025). Early-planted soybean weed management as affected by herbicide application rate and timing. Weed Technology. 39. 1 indexed citations
2.
Pavlović, Pavle, Jed B. Colquhoun, Nicholas E. Korres, et al.. (2025). Crop and Weed Management Practices of Snap Bean (Phaseolus vulgaris) Production Fields in the United States. HortScience. 60(3). 267–272.
3.
Pavlović, Pavle, Jed B. Colquhoun, Nicholas E. Korres, et al.. (2024). Weed communities of snap bean fields in the United States. Weed Science. 73. 1 indexed citations
4.
Williams, Martin, et al.. (2023). First report of severe tolpyralate sensitivity in corn (Zea mays) discovers a novel genetic factor conferring crop response to a herbicide. Pest Management Science. 80(3). 1645–1653. 1 indexed citations
5.
Williams, Martin, et al.. (2023). Genome-wide Association Study Identifies Candidate Loci with Major Contributions to the Genetic Control of Pod Morphological Traits in Snap Bean. Journal of the American Society for Horticultural Science. 149(1). 1–14. 4 indexed citations
6.
7.
Ko, Younhee, et al.. (2021). Transcriptional analysis of sweet corn hybrids in response to crowding stress. PLoS ONE. 16(6). e0253190–e0253190. 2 indexed citations
8.
Hager, Aaron G., et al.. (2021). Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather. Pest Management Science. 77(6). 2683–2689. 17 indexed citations
9.
Williams, Martin, et al.. (2020). Expression and comparison of sweet corn CYP81A9s in relation to nicosulfuron sensitivity. Pest Management Science. 76(9). 3012–3019. 25 indexed citations
10.
Williams, Martin, et al.. (2020). Economically Optimal Plant Density for Machine-harvested Edamame. HortScience. 55(3). 368–373. 4 indexed citations
11.
Kepler, Ryan M., Stephanie A. Yarwood, Michel A. Cavigelli, et al.. (2019). Soil Microbial Communities in Diverse Agroecosystems Exposed to the Herbicide Glyphosate. Applied and Environmental Microbiology. 86(5). 70 indexed citations
12.
Williams, Martin, et al.. (2017). Changes in field workability and drought risk from projected climate change drive spatially variable risks in Illinois cropping systems. PLoS ONE. 12(2). e0172301–e0172301. 30 indexed citations
13.
Williams, Martin, Carl A. Bradley, Stephen O. Duke, Jude E. Maul, & Krishna N. Reddy. (2015). Goss’s Wilt Incidence in Sweet Corn Is Independent of Transgenic Traits and Glyphosate. HortScience. 50(12). 1791–1794. 16 indexed citations
14.
Williams, Martin, et al.. (2010). Characterization of metal powder based rapid prototyping components with respect to aluminium high pressure die casting process conditions. 8(2). 85–94. 1 indexed citations
15.
Pataky, J. K., Martin Williams, Dean E. Riechers, & Michael D. Meyer. (2009). A Common Genetic Basis for Cross-sensitivity to Mesotrione and Nicosulfuron in Sweet Corn Hybrid Cultivars and Inbreds Grown throughout North America. Journal of the American Society for Horticultural Science. 134(2). 252–260. 22 indexed citations
16.
Pataky, J. K., et al.. (2008). Genetic Basis for Varied Levels of Injury to Sweet Corn Hybrids from Three Cytochrome P450-metabolized Herbicides. Journal of the American Society for Horticultural Science. 133(3). 438–447. 41 indexed citations
17.
Williams, Martin & John L. Lindquist. (2007). Influence of Planting Date and Weed Interference on Sweet Corn Growth and Development. Agronomy Journal. 99(4). 1066–1072. 33 indexed citations
18.
Williams, Martin, et al.. (2005). Cross-sensitivity in Sweet Corn to Nicosulfuron and Mesotrione Applied Postemergence. HortScience. 40(6). 1801–1805. 25 indexed citations
19.
Williams, Martin & John K. Mullen. (1992). The contribution of highway infrastructure to states' economies. Rivista Internazionale di Economia dei Trasporti. 19(2). 5 indexed citations
20.
Williams, Martin, et al.. (1991). Government Activity and Economic Performance in a Small Developing Economy. Economia Internazionale / International Economics. 44. 269–281. 3 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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