Larry E. Erickson

8.8k total citations
277 papers, 6.6k citations indexed

About

Larry E. Erickson is a scholar working on Biomedical Engineering, Pollution and Molecular Biology. According to data from OpenAlex, Larry E. Erickson has authored 277 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Biomedical Engineering, 49 papers in Pollution and 45 papers in Molecular Biology. Recurrent topics in Larry E. Erickson's work include Fluid Dynamics and Mixing (24 papers), Groundwater flow and contamination studies (24 papers) and Microbial Metabolic Engineering and Bioproduction (23 papers). Larry E. Erickson is often cited by papers focused on Fluid Dynamics and Mixing (24 papers), Groundwater flow and contamination studies (24 papers) and Microbial Metabolic Engineering and Bioproduction (23 papers). Larry E. Erickson collaborates with scholars based in United States, Czechia and Ukraine. Larry E. Erickson's co-authors include Lawrence C. Davis, V. G. Fox, Liang Fan, Keith L. Hohn, L.T. Fan, Kenneth J. Klabunde, Xiangxin Yang, Larry A. Glasgow, Ronaldo G. Maghirang and Chundi Cao and has published in prestigious journals such as Environmental Science & Technology, Water Research and Technometrics.

In The Last Decade

Larry E. Erickson

270 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larry E. Erickson United States 39 1.8k 1.3k 999 974 815 277 6.6k
Nicolas Kalogerakis Greece 62 1.9k 1.0× 3.5k 2.7× 800 0.8× 695 0.7× 713 0.9× 255 12.9k
Ricardo Erthal Santelli Brazil 37 1.3k 0.7× 1.3k 1.0× 867 0.9× 413 0.4× 629 0.8× 173 8.6k
A. Demirbaş Türkiye 45 5.9k 3.3× 957 0.7× 826 0.8× 796 0.8× 773 0.9× 199 10.0k
Chang-Ping Yu China 38 844 0.5× 1.1k 0.8× 530 0.5× 306 0.3× 997 1.2× 143 4.4k
Jens Ejbye Schmidt Brazil 44 1.8k 1.0× 1.7k 1.3× 806 0.8× 371 0.4× 549 0.7× 212 6.2k
Kôichi Yamada Japan 35 678 0.4× 392 0.3× 1.0k 1.0× 370 0.4× 1.2k 1.5× 323 4.7k
Siming You United Kingdom 49 3.0k 1.7× 1.4k 1.1× 187 0.2× 908 0.9× 910 1.1× 158 8.6k
P. F. Greenfield Australia 36 1.2k 0.6× 478 0.4× 1.5k 1.5× 918 0.9× 741 0.9× 151 4.5k
Ajay K. Ray Canada 57 1.8k 1.0× 860 0.7× 1.1k 1.1× 4.0k 4.2× 2.8k 3.5× 227 9.9k
Brent R. Young New Zealand 44 1.4k 0.8× 417 0.3× 466 0.5× 606 0.6× 466 0.6× 279 6.8k

Countries citing papers authored by Larry E. Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Larry E. Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry E. Erickson. 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 Larry E. Erickson. The network helps show where Larry E. Erickson may publish in the future.

Co-authorship network of co-authors of Larry E. Erickson

This figure shows the co-authorship network connecting the top 25 collaborators of Larry E. Erickson. A scholar is included among the top collaborators of Larry E. Erickson 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 Larry E. Erickson. Larry E. Erickson 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.
Rattanarojpong, Triwit, Pongsak Khunrae, Taradon Luangtongkum, et al.. (2022). Biofunctionalized Magnetic Nanoparticles with Multiplex Touchdown PCR for Simultaneous and Rapid Detection/Identification of Campylobacter jejuni and Campylobacter coli. Journal of Nanomaterials. 2022(1). 1 indexed citations
2.
Erickson, Larry E. & Valentina Pidlisnyuk. (2021). Phytotechnology with Biomass Production : Sustainable Management of Contaminated Sites. Directory of Open access Books (OAPEN Foundation). 4 indexed citations
3.
Todd, Tim, Ganga M. Hettiarachchi, Tatyana Stefanovska, et al.. (2020). Effect of Soil Treatments and Amendments on the Nematode Community under Miscanthus Growing in a Lead Contaminated Military Site. Agronomy. 10(11). 1727–1727. 25 indexed citations
4.
Erickson, Larry E., et al.. (2013). Sustainable Management of Algae in Eutrophic Ecosystems. Journal of Environmental Protection. 4(11). 9–19. 10 indexed citations
5.
Erickson, Larry E., et al.. (2011). Exposure assessment and process sensitivity analysis of the contamination of Campylobacter in poultry products. Poultry Science. 90(7). 1562–1573. 17 indexed citations
6.
Davis, Lawrence C., et al.. (2009). PHYTOREMEDIATION IN EDUCATION: TEXTILE DYE TEACHING EXPERIMENTS. International Journal of Phytoremediation. 11(5). 451–462. 3 indexed citations
7.
Yang, Xiao‐Qing, Changqing Cao, Keith L. Hohn, et al.. (2007). Highly visible-light active C- and V-doped TiO2 for degradation of acetaldehyde. Journal of Catalysis. 252(2). 296–302. 222 indexed citations
8.
Jamil, Kaiser, et al.. (2001). Bioindicators and biomarkers of environmental pollution and risk assessment.. 47 indexed citations
9.
Shi, Zhiao & Larry E. Erickson. (2001). Mathematical model development and simulation of in situ stabilization in lead-contaminated soils. Journal of Hazardous Materials. 87(1-3). 99–116. 16 indexed citations
10.
Govindaraju, Rao S., et al.. (1996). Geochemical Modeling of Lead in Vadose Zone. 1221–1226. 1 indexed citations
11.
Davis, Lawrence C., et al.. (1987). Modeling and analysis of diffusion and reaction in legume nodules. Biotechnology and Bioengineering. 29(2). 279–288. 1 indexed citations
12.
Erickson, Larry E., et al.. (1987). Theoretical and experimental yields for photoautotrophic, mixotrophic, and photoheterotrophic growth. Biotechnology and Bioengineering. 29(4). 476–481. 12 indexed citations
13.
Oolman, Timothy, Harvey W. Blanch, & Larry E. Erickson. (1986). Non-Newtonian Fermentation Systems. Critical Reviews in Biotechnology. 4(2). 133–184. 20 indexed citations
14.
Erickson, Larry E., et al.. (1985). Rapid Measurement of Candida utilis Dry Weight with Microwave Drying. Journal of Food Protection. 48(11). 958–960. 9 indexed citations
15.
Erickson, Larry E., et al.. (1984). Estimation of true growth yield and maintenance parameters for methanol utilizing organisms. Journal of Fermentation Technology. 62(4). 341–351. 2 indexed citations
16.
Stephanopoulos, Gregory, et al.. (1984). Computer Applications to Fermentation Processes. Critical Reviews in Biotechnology. 2(1). 1–103. 43 indexed citations
17.
Lee, Hyo Young & Larry E. Erickson. (1984). Characterization of algae using regularities. Biotechnology and Bioengineering. 26(7). 758–763. 7 indexed citations
18.
Ferrer, Alexis & Larry E. Erickson. (1979). Evaluation of data consistency and estimation of yield parameters in hydrocarbon fermentations. Biotechnology and Bioengineering. 21(12). 2203–2233. 21 indexed citations
19.
Erickson, Larry E., et al.. (1978). Comparison of yield coefficients estimated from measurements of nitrogen organic substrate biomass and oxygen during yeast hansenula polymorpha growth. Journal of Fermentation Technology. 56(5). 524–531. 9 indexed citations
20.
Erickson, Larry E., et al.. (1974). Optimization of hydrocarbon fermentation processes. 4. 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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