Brian M. Schwartz

898 total citations
75 papers, 657 citations indexed

About

Brian M. Schwartz is a scholar working on Environmental Chemistry, Plant Science and Ecology. According to data from OpenAlex, Brian M. Schwartz has authored 75 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Environmental Chemistry, 39 papers in Plant Science and 22 papers in Ecology. Recurrent topics in Brian M. Schwartz's work include Turfgrass Adaptation and Management (54 papers), Rangeland and Wildlife Management (20 papers) and Seedling growth and survival studies (20 papers). Brian M. Schwartz is often cited by papers focused on Turfgrass Adaptation and Management (54 papers), Rangeland and Wildlife Management (20 papers) and Seedling growth and survival studies (20 papers). Brian M. Schwartz collaborates with scholars based in United States, South Korea and Brazil. Brian M. Schwartz's co-authors include Kevin E. Kenworthy, Aaron J. Patton, Wayne W. Hanna, Karen R. Harris‐Shultz, Susana R. Milla‐Lewis, Jeff A. Brady, C. Wayne Smith, D. G. Sullivan, A. D. Genovesi and Jing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Brian M. Schwartz

71 papers receiving 639 citations

Peers

Brian M. Schwartz

ECOLO

NLC

EEBS

Ambika Chandra United States

Philip Busey United States

Christopher J. Lambrides Australia

Philip W. Tipping United States

Kenneth Hignight United States

Marc M. Ghesquière France

William C. Capman United States

Gary E. Bates United States

Gregory W. Dutkowski Australia

I. W. Forno Australia

Ambika Chandra United States

Brian M. Schwartz

397 ×0.9

226 ×0.6

256 ×1.1

ECOLO

199 ×1.3

NLC

88 ×0.8

EEBS

Citations per year, relative to Brian M. Schwartz Brian M. Schwartz (= 1×) peers Ambika Chandra

Countries citing papers authored by Brian M. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Schwartz. 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 Brian M. Schwartz. The network helps show where Brian M. Schwartz may publish in the future.

Co-authorship network of co-authors of Brian M. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Schwartz. A scholar is included among the top collaborators of Brian M. Schwartz 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 Brian M. Schwartz. Brian M. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Jing, Yanqi Wu, Brian M. Schwartz, et al.. (2025). Genetic gains and genotype‐by‐environment interaction in turf bermudagrass drought resistance improvement in the southern United States. Crop Science. 65(6).

Kenworthy, Kevin E., et al.. (2025). Multi‐location testing increases genetic gains for drought tolerance in zoysiagrass. International Turfgrass Society research journal. 15(1). 1271–1280.

Milla‐Lewis, Susana R., Grady L. Miller, Aaron J. Patton, et al.. (2025). Registration of ‘XZ 14069’ zoysiagrass. Journal of Plant Registrations. 19(2). 1 indexed citations

Schiavon, Marco, Esteban F. Rios, J. Bryan Unruh, et al.. (2025). Irrigation frequency requirements for sufficient warm‐season species quality in Florida. International Turfgrass Society research journal. 15(1). 519–534. 1 indexed citations

Milla‐Lewis, Susana R., Kevin E. Kenworthy, Jing Zhang, et al.. (2024). Maximizing genetic gains across agronomic and consumer preference traits in St. Augustinegrass breeding. Crop Science. 65(1). 3 indexed citations

Kenworthy, Kevin E., Ambika Chandra, Brian M. Schwartz, et al.. (2024). Enhancing drought resistance in warm‐season turfgrasses: Fourteen years of progress through a multistate collaborative project across the southern United States. Crop Science. 65(1). 4 indexed citations

Raymer, Paul L., Brian M. Schwartz, Esteban F. Rios, et al.. (2021). Seashore paspalum (<i>Paspalum</i> <i>vaginatum</i> Sw.) performance under shade in multi-environment trials. 1(1). 1–8. 4 indexed citations

Braun, Ross C., et al.. (2021). Performance and playability of experimental low-input coarse-textured zoysiagrass in multiple climates. 1(1). 1–12. 9 indexed citations

Rios, Esteban F., José Aírton Rodrigues Nunes, Salvador A. Gezan, et al.. (2020). Genotype‐by‐environment interaction for turfgrass quality in bermudagrass across the southeastern United States. Crop Science. 60(6). 3328–3343. 13 indexed citations

10.

Rios, Esteban F., José Aírton Rodrigues Nunes, Salvador A. Gezan, et al.. (2020). Multispecies genotype × environment interaction for turfgrass quality in five turfgrass breeding programs in the southeastern United States. Crop Science. 61(5). 3080–3096. 14 indexed citations

11.

Singh, Gurjit, Shimat V. Joseph, & Brian M. Schwartz. (2020). Screening Newly Developed Bermudagrasses for Host Plant Resistance against Fall Armyworm (Lepidoptera: Noctuidae). HortScience. 55(11). 1811–1816.

12.

Baxter, Lisa L. & Brian M. Schwartz. (2018). History of Bermudagrass Turfgrass Breeding Research in Tifton, GA. HortScience. 53(11). 1560–1561. 10 indexed citations

13.

Zuleta, M. Carolina, et al.. (2017). SSR allelic diversity shifts in zoysiagrass (Zoysia spp.) cultivars released from 1910 to 2016.. The Plant Genome. 10. 1 indexed citations

14.

Khanal, Sameer, et al.. (2017). SSR-enriched genetic linkage maps of bermudagrass (Cynodon dactylon × transvaalensis), and their comparison with allied plant genomes. Theoretical and Applied Genetics. 130(4). 819–839. 11 indexed citations

15.

Schwartz, Brian M., et al.. (2013). Discovery and Characterization of a Turf-type Triploid Seashore Paspalum. HortScience. 48(12). 1424–1427. 7 indexed citations

16.

Harris‐Shultz, Karen R., Brian M. Schwartz, & Jeff A. Brady. (2011). Identification of Simple Sequence Repeat Markers that Differentiate Bermudagrass Cultivars Derived from ‘Tifgreen’. Journal of the American Society for Horticultural Science. 136(3). 211–218. 17 indexed citations

17.

Harris‐Shultz, Karen R., Brian M. Schwartz, Wayne W. Hanna, & Jeff A. Brady. (2010). Development, Linkage Mapping, and Use of Microsatellites in Bermudagrass. Journal of the American Society for Horticultural Science. 135(6). 511–520. 26 indexed citations

18.

Harris, Karen R., Brian M. Schwartz, Andrew H. Paterson, & Jeff A. Brady. (2010). Identification and Mapping of Nucleotide Binding Site–Leucine-rich Repeat Resistance Gene Analogs in Bermudagrass. Journal of the American Society for Horticultural Science. 135(1). 74–82. 6 indexed citations

19.

Contreras, Ryan N., John M. Ruter, & Brian M. Schwartz. (2010). Oryzalin-induced Tetraploidy in Cryptomeria japonica (Cupressaceae). HortScience. 45(2). 316–319. 8 indexed citations

20.

Schwartz, Brian M., et al.. (2008). METHODOLOGY FOR SCREENING FOR RESISTANCE TO BELONOLAIMUS LONGICAUDATUS IN TURFGRASS. Nematropica. 38(2). 163–176. 4 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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