Brent Roman

1.3k total citations
26 papers, 861 citations indexed

About

Brent Roman is a scholar working on Ecology, Oceanography and Environmental Chemistry. According to data from OpenAlex, Brent Roman has authored 26 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 11 papers in Oceanography and 11 papers in Environmental Chemistry. Recurrent topics in Brent Roman's work include Microbial Community Ecology and Physiology (15 papers), Marine and coastal ecosystems (10 papers) and Marine Toxins and Detection Methods (8 papers). Brent Roman is often cited by papers focused on Microbial Community Ecology and Physiology (15 papers), Marine and coastal ecosystems (10 papers) and Marine Toxins and Detection Methods (8 papers). Brent Roman collaborates with scholars based in United States, Austria and United Kingdom. Brent Roman's co-authors include Christopher A. Scholin, Roman Marin, Scott Jensen, James M. Birch, Christina M. Preston, Dianne I. Greenfield, Douglas Pargett, Eugene Massion, Jason Feldman and Christina M. Mikulski and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Limnology and Oceanography.

In The Last Decade

Brent Roman

23 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent Roman United States 17 557 344 319 255 80 26 861
Scott Jensen United States 16 501 0.9× 318 0.9× 290 0.9× 226 0.9× 64 0.8× 19 786
Dianne I. Greenfield United States 15 355 0.6× 404 1.2× 139 0.4× 340 1.3× 43 0.5× 34 736
Douglas Pargett United States 10 370 0.7× 197 0.6× 211 0.7× 116 0.5× 61 0.8× 14 549
Chris Scholin United States 14 350 0.6× 377 1.1× 235 0.7× 370 1.5× 45 0.6× 17 699
Yasuo Furushima Japan 15 392 0.7× 189 0.5× 193 0.6× 201 0.8× 61 0.8× 47 655
G. B. J. Dubelaar Netherlands 11 303 0.5× 365 1.1× 140 0.4× 107 0.4× 41 0.5× 18 637
Erica L. Seubert United States 12 190 0.3× 457 1.3× 98 0.3× 350 1.4× 61 0.8× 17 692
Malcolm McFarland United States 13 146 0.3× 393 1.1× 57 0.2× 218 0.9× 34 0.4× 34 625
Eugene Massion United States 7 226 0.4× 167 0.5× 119 0.4× 112 0.4× 33 0.4× 8 360
Huabing Li China 14 394 0.7× 241 0.7× 159 0.5× 244 1.0× 13 0.2× 41 780

Countries citing papers authored by Brent Roman

Since Specialization
Citations

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

Fields of papers citing papers by Brent Roman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent Roman

This figure shows the co-authorship network connecting the top 25 collaborators of Brent Roman. A scholar is included among the top collaborators of Brent Roman 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 Brent Roman. Brent Roman 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
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Preston, Christina M., Kevan M. Yamahara, Douglas Pargett, et al.. (2023). Autonomous eDNA collection using an uncrewed surface vessel over a 4200‐km transect of the eastern Pacific Ocean. Environmental DNA. 6(1). 17 indexed citations
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Zhang, Yanwu, John P. Ryan, Brett Hobson, et al.. (2021). A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum. Science Robotics. 6(50). 38 indexed citations
5.
Moore, Stephanie K., John B. Mickett, Gregory J. Doucette, et al.. (2021). An Autonomous Platform for Near Real-Time Surveillance of Harmful Algae and Their Toxins in Dynamic Coastal Shelf Environments. Journal of Marine Science and Engineering. 9(3). 336–336. 14 indexed citations
6.
Zhang, Yanwu, Brian Kieft, Brett Hobson, et al.. (2020). Persistent Sampling of Vertically Migrating Biological Layers by an Autonomous Underwater Vehicle Within the Beam of a Seabed-Mounted Echosounder. IEEE Journal of Oceanic Engineering. 46(2). 497–508. 10 indexed citations
7.
Yamahara, Kevan M., Christina M. Preston, James M. Birch, et al.. (2019). In situ Autonomous Acquisition and Preservation of Marine Environmental DNA Using an Autonomous Underwater Vehicle. Frontiers in Marine Science. 6. 102 indexed citations
8.
Rogers, Daniel R., Christina M. Preston, William Ussler, et al.. (2017). Co-registered Geochemistry and Metatranscriptomics Reveal Unexpected Distributions of Microbial Activity within a Hydrothermal Vent Field. Frontiers in Microbiology. 8. 1042–1042. 21 indexed citations
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Yamahara, Kevan M., Elif Demir‐Hilton, Roman Marin, et al.. (2015). Simultaneous monitoring of faecal indicators and harmful algae using an in-situ autonomous sensor. Letters in Applied Microbiology. 61(2). 130–138. 42 indexed citations
11.
Herfort, Lydie, Brent Roman, Christina M. Preston, et al.. (2015). Use of continuous, real‐time observations and model simulations to achieve autonomous, adaptive sampling of microbial processes with a robotic sampler. Limnology and Oceanography Methods. 14(1). 50–67. 19 indexed citations
12.
Ussler, William, Christina M. Preston, Patricia L. Tavormina, et al.. (2013). Autonomous Application of Quantitative PCR in the Deep Sea: In Situ Surveys of Aerobic Methanotrophs Using the Deep-Sea Environmental Sample Processor. Environmental Science & Technology. 47(16). 9339–9346. 36 indexed citations
13.
Preston, Christina M., John P. Ryan, Brent Roman, et al.. (2011). Underwater Application of Quantitative PCR on an Ocean Mooring. PLoS ONE. 6(8). e22522–e22522. 68 indexed citations
14.
Ryan, John P., Dianne I. Greenfield, Christina M. Preston, et al.. (2011). Harmful phytoplankton ecology studies using an autonomous molecular analytical and ocean observing network. Limnology and Oceanography. 56(4). 1255–1272. 46 indexed citations
15.
Doucette, Gregory J., Christina M. Mikulski, Kelly Jones, et al.. (2009). Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials. Harmful Algae. 8(6). 880–888. 56 indexed citations
16.
Greenfield, Dianne I., Roman Marin, Gregory J. Doucette, et al.. (2008). Field applications of the second‐generation Environmental Sample Processor (ESP) for remote detection of harmful algae: 2006‐2007. Limnology and Oceanography Methods. 6(12). 667–679. 63 indexed citations
17.
Roman, Brent, Chris Scholin, Scott Jensen, et al.. (2007). Controlling a Robotic Marine Environmental Sampler with the Ruby Scripting Language. JALA Journal of the Association for Laboratory Automation. 12(1). 56–61. 19 indexed citations
18.
Greenfield, Dianne I., Roman Marin, Scott Jensen, et al.. (2006). Application of environmental sample processor (ESP) methodology for quantifying Pseudo‐nitzschia australis using ribosomal RNA‐targeted probes in sandwich and fluorescent in situ hybridization formats. Limnology and Oceanography Methods. 4(11). 426–435. 74 indexed citations
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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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