Noah Lawrence‐Slavas

796 total citations
23 papers, 518 citations indexed

About

Noah Lawrence‐Slavas is a scholar working on Oceanography, Environmental Chemistry and Atmospheric Science. According to data from OpenAlex, Noah Lawrence‐Slavas has authored 23 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oceanography, 8 papers in Environmental Chemistry and 8 papers in Atmospheric Science. Recurrent topics in Noah Lawrence‐Slavas's work include Ocean Acidification Effects and Responses (10 papers), Arctic and Antarctic ice dynamics (8 papers) and Methane Hydrates and Related Phenomena (8 papers). Noah Lawrence‐Slavas is often cited by papers focused on Ocean Acidification Effects and Responses (10 papers), Arctic and Antarctic ice dynamics (8 papers) and Methane Hydrates and Related Phenomena (8 papers). Noah Lawrence‐Slavas collaborates with scholars based in United States, Australia and Canada. Noah Lawrence‐Slavas's co-authors include Christian Meinig, Richard Jenkins, Heather Tabisola, Calvin W. Mordy, Christopher L. Sabine, Edward D. Cokelet, Adrienne J. Sutton, Jessica Cross, Alex De Robertis and Richard A. Feely and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Limnology and Oceanography.

In The Last Decade

Noah Lawrence‐Slavas

23 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah Lawrence‐Slavas United States 12 299 185 136 114 112 23 518
Henning Wehde Norway 14 312 1.0× 117 0.6× 118 0.9× 77 0.7× 59 0.5× 29 481
Stephen C. Riser United States 6 585 2.0× 304 1.6× 80 0.6× 223 2.0× 96 0.9× 7 721
Roberto Bozzano Italy 12 296 1.0× 182 1.0× 99 0.7× 136 1.2× 51 0.5× 45 440
Mark Ignaszewski Australia 3 449 1.5× 284 1.5× 43 0.3× 209 1.8× 92 0.8× 5 567
Sara Pensieri Italy 11 223 0.7× 119 0.6× 54 0.4× 106 0.9× 45 0.4× 33 341
Heather Tabisola United States 9 124 0.4× 116 0.6× 77 0.6× 83 0.7× 88 0.8× 17 283
Gerardo Toro-Farmer United States 11 240 0.8× 153 0.8× 181 1.3× 34 0.3× 64 0.6× 17 533
Fernando Gilbes Puerto Rico 9 328 1.1× 121 0.7× 163 1.2× 50 0.4× 56 0.5× 13 454
D. Manov United States 10 407 1.4× 147 0.8× 57 0.4× 157 1.4× 125 1.1× 17 542
Andrew Clive Banks Greece 13 209 0.7× 175 0.9× 107 0.8× 86 0.8× 25 0.2× 25 387

Countries citing papers authored by Noah Lawrence‐Slavas

Since Specialization
Citations

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

Fields of papers citing papers by Noah Lawrence‐Slavas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah Lawrence‐Slavas. 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 Noah Lawrence‐Slavas. The network helps show where Noah Lawrence‐Slavas may publish in the future.

Co-authorship network of co-authors of Noah Lawrence‐Slavas

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Lawrence‐Slavas. A scholar is included among the top collaborators of Noah Lawrence‐Slavas 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 Noah Lawrence‐Slavas. Noah Lawrence‐Slavas 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.
Zhang, Dongxiao, Chidong Zhang, Gregory R. Foltz, et al.. (2023). Observing Extreme Ocean and Weather Events Using Innovative Saildrone Uncrewed Surface Vehicles. Oceanography. 7 indexed citations
2.
Cronin, Meghan F., Dongxiao Zhang, Yolande L. Serra, et al.. (2023). PMEL Ocean Climate Stations as Reference Time Series and Research Aggregate Devices. Oceanography. 5 indexed citations
3.
Zhao, Jian, Yan Wang, Wenjing Liu, et al.. (2022). Sea Surface Salinity Variability in the Bering Sea in 2015–2020. Remote Sensing. 14(3). 758–758. 7 indexed citations
4.
Fortunato, Caroline S., D. A. Butterfield, B. I. Larson, et al.. (2021). Seafloor Incubation Experiment with Deep-Sea Hydrothermal Vent Fluid Reveals Effect of Pressure and Lag Time on Autotrophic Microbial Communities. Applied and Environmental Microbiology. 87(9). 13 indexed citations
5.
Chiodi, A. M., Chidong Zhang, Edward D. Cokelet, et al.. (2021). Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs.. Frontiers in Marine Science. 8. 1 indexed citations
6.
Chiodi, A. M., Chidong Zhang, Edward D. Cokelet, et al.. (2021). Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs. Frontiers in Marine Science. 8. 15 indexed citations
7.
Levine, Robert M., Alex De Robertis, Daniel Grünbaum, et al.. (2020). Autonomous vehicle surveys indicate that flow reversals retain juvenile fishes in a highly advective high‐latitude ecosystem. Limnology and Oceanography. 66(4). 1139–1154. 23 indexed citations
8.
Sabine, Christopher L., Adrienne J. Sutton, Noah Lawrence‐Slavas, et al.. (2020). Evaluation of a New Carbon Dioxide System for Autonomous Surface Vehicles. Journal of Atmospheric and Oceanic Technology. 37(8). 1305–1317. 28 indexed citations
9.
Kuhn, Carey E., Alex De Robertis, Christian Meinig, et al.. (2019). Test of unmanned surface vehicles to conduct remote focal follow studies of a marine predator. Marine Ecology Progress Series. 635. 1–7. 8 indexed citations
10.
Robertis, Alex De, Noah Lawrence‐Slavas, Richard Jenkins, et al.. (2019). Long-term measurements of fish backscatter from Saildrone unmanned surface vehicles and comparison with observations from a noise-reduced research vessel. ICES Journal of Marine Science. 76(7). 2459–2470. 45 indexed citations
11.
12.
Mordy, Calvin W., Edward D. Cokelet, Alex De Robertis, et al.. (2017). Advances in Ecosystem Research: Saildrone Surveys of Oceanography, Fish, and Marine Mammals in the Bering Sea. Oceanography. 30(2). 62 indexed citations
13.
Fassbender, Andrea J., et al.. (2015). Robust Sensor for Extended Autonomous Measurements of Surface Ocean Dissolved Inorganic Carbon. Environmental Science & Technology. 49(6). 3628–3635. 33 indexed citations
14.
Cokelet, Edward D., Christian Meinig, Noah Lawrence‐Slavas, et al.. (2015). The use of Saildrones to examine spring conditions in the Bering sea. 21 indexed citations
15.
Sutton, Adrienne J., Christopher L. Sabine, Noah Lawrence‐Slavas, et al.. (2014). A high-frequency atmospheric and seawater p CO 2 data set from 14 open-ocean sites using a moored autonomous system. Earth system science data. 6(2). 353–366. 111 indexed citations
16.
Stalin, Scott, et al.. (2012). Next generation Easy-to-Deploy (ETD) tsunami assessment buoy. 1–9. 2 indexed citations
17.
18.
Gledhill, D. K., Jorge E. Corredor, Chris Langdon, et al.. (2010). Carbonate chemistry dynamics over a Caribbean shelf reef (Cayo Enrique) at the Atlantic Ocean Acidification Test-bed, La Parguera, Puerto Rico. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
19.
20.
Lawrence‐Slavas, Noah, Christian Meinig, & Hugh B. Milburn. (2006). KEO mooring engineering analysis. 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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