Wayne Sharp

1.6k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Wayne Sharp is a scholar working on Biomedical Engineering, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Wayne Sharp has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Building and Construction and 4 papers in Civil and Structural Engineering. Recurrent topics in Wayne Sharp's work include Anaerobic Digestion and Biogas Production (5 papers), Water Systems and Optimization (4 papers) and Algal biology and biofuel production (4 papers). Wayne Sharp is often cited by papers focused on Anaerobic Digestion and Biogas Production (5 papers), Water Systems and Optimization (4 papers) and Algal biology and biofuel production (4 papers). Wayne Sharp collaborates with scholars based in United States, India and Australia. Wayne Sharp's co-authors include Mark E. Zappi, Emmanuel Revellame, Dhan Lord B. Fortela, Rafael Hernández, Thomas M. Walski, Donald V. Chase, Lindell Ormsbee, Daniel Dianchen Gang, William E. Holmes and John A. Dunbar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Industrial & Engineering Chemistry Research.

In The Last Decade

Wayne Sharp

24 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adsorption kinetic modeling using pseudo-first order and pseudo-second order rate laws: A review

2020 877 citations Emmanuel Revellame, Dhan Lord B. Fortela et al. Cleaner Engineering and Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wayne Sharp United States	9	537	203	179	170	158	27	1.2k
Fernando Ureña‐Núñez Mexico	17	766 1.4×	208 1.0×	294 1.6×	113 0.7×	258 1.6×	62	1.4k
Semra Çoruh Türkiye	16	474 0.9×	108 0.5×	279 1.6×	108 0.6×	159 1.0×	52	1.1k
Sabrina F. Lütke Brazil	18	687 1.3×	226 1.1×	159 0.9×	180 1.1×	177 1.1×	34	1.1k
Domenico Petruzzelli Italy	25	697 1.3×	156 0.8×	433 2.4×	115 0.7×	201 1.3×	58	1.5k
Eduardo Lins de Barros Neto Brazil	21	502 0.9×	166 0.8×	151 0.8×	316 1.9×	282 1.8×	109	1.7k
Olushola S. Ayanda Nigeria	19	405 0.8×	286 1.4×	91 0.5×	151 0.9×	309 2.0×	77	1.1k
Víctor H. Guerrero Ecuador	16	616 1.1×	445 2.2×	209 1.2×	209 1.2×	367 2.3×	66	1.7k
Helen Grigoropoulou Greece	18	755 1.4×	171 0.8×	452 2.5×	88 0.5×	176 1.1×	31	1.3k
Tekin Şahan Türkiye	23	730 1.4×	255 1.3×	195 1.1×	209 1.2×	168 1.1×	47	1.3k
Feng Ouyang China	25	328 0.6×	459 2.3×	123 0.7×	108 0.6×	179 1.1×	58	1.5k

Countries citing papers authored by Wayne Sharp

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Sharp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Sharp. A scholar is included among the top collaborators of Wayne Sharp 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 Wayne Sharp. Wayne Sharp 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

Chirdon, William M., Wayne Sharp, Daniel Dianchen Gang, et al.. (2025). Production of green adhesives from sustainable proteins derived from municipal wastewater treatment plant sludges and potential enhancements from soy protein amending. Journal of Environmental Management. 391. 126497–126497.

Sharp, Wayne, Daniel Dianchen Gang, Rafael Hernández, et al.. (2024). An Overview of the Potential for Municipal Wastewater Treatment Plants to Be Integrated into Urban Biorefineries for the Production of Sustainable Bio-Based Fuels and Other Chemicals. Current Pollution Reports. 10(3). 548–564. 2 indexed citations

Fortela, Dhan Lord B., Rafael Hernández, Emmanuel Revellame, et al.. (2024). Dynamic Time Warping as Elementary Effects Metric for Morris-Based Global Sensitivity Analysis of High-Dimension Dynamical Models. Mathematical and Computational Applications. 29(6). 111–111. 1 indexed citations

Chirdon, William M., Wayne Sharp, Daniel Dianchen Gang, et al.. (2024). Physical and Chemical Characterization of Sustainable Green Adhesives Derived from Municipal Treatment Plant Sludges. Sustainability. 16(21). 9346–9346. 1 indexed citations

Revellame, Emmanuel, William E. Holmes, Dhan Lord B. Fortela, et al.. (2023). Microalgae in bioregenerative life support systems for space applications. Algal Research. 77. 103332–103332. 8 indexed citations

Hernández, Rafael, Dhan Lord B. Fortela, Wayne Sharp, et al.. (2023). Formulation of a Simulated Wastewater Influent Composition for Use in the Research of Technologies for Managing Wastewaters Generated during Manned Long-Term Space Exploration and Other Similar Situations—Literature-Based Composition Development. BioTech. 12(1). 8–8. 2 indexed citations

Fortela, Dhan Lord B., Wayne Sharp, Emmanuel Revellame, et al.. (2023). Predicting Molecular Docking of Per- and Polyfluoroalkyl Substances to Blood Protein Using Generative Artificial Intelligence Algorithm Diffdock. BioTechniques. 76(1). 14–26. 11 indexed citations

Chirdon, William M., Wayne Sharp, Daniel Dianchen Gang, et al.. (2023). Production of Sustainable Green Adhesives from Proteinaceous Biomass with an Emphasis on Waste-Derived Protein Residuals: A Review. Industrial & Engineering Chemistry Research. 62(33). 12716–12731. 3 indexed citations

Fortela, Dhan Lord B., Wayne Sharp, Emmanuel Revellame, et al.. (2023). Quantitating Wastewater Characteristic Parameters Using Neural Network Regression Modeling on Spectral Reflectance. SHILAP Revista de lepidopterología. 5(4). 1186–1202.

10.

Revellame, Emmanuel, Dhan Lord B. Fortela, Wayne Sharp, Rafael Hernández, & Mark E. Zappi. (2020). Adsorption kinetic modeling using pseudo-first order and pseudo-second order rate laws: A review. Cleaner Engineering and Technology. 1. 100032–100032. 877 indexed citations breakdown →

11.

Hernández, Rafael, Dhan Lord B. Fortela, Wayne Sharp, et al.. (2020). A Review of Pretreatment Methods to Enhance Solids Reduction during Anaerobic Digestion of Municipal Wastewater Sludges and the Resulting Digester Performance: Implications to Future Urban Biorefineries. Applied Sciences. 10(24). 9141–9141. 48 indexed citations

12.

Fortela, Dhan Lord B., Matthew E. Crawford, Wayne Sharp, et al.. (2020). Using Self-Organizing Maps to Elucidate Patterns among Variables in Simulated Syngas Combustion. SHILAP Revista de lepidopterología. 2(2). 156–169. 3 indexed citations

13.

Zappi, Mark E., Emmanuel Revellame, Dhan Lord B. Fortela, et al.. (2019). Evaluation of the Potential to Produce Biogas and Other Energetic Coproducts Using Anaerobic Digestion of Wastewater Generated at Shrimp Processing Operations. Industrial & Engineering Chemistry Research. 58(35). 15930–15944. 9 indexed citations

14.

Zappi, Mark E., Rakesh Bajpai, Rafael Hernández, et al.. (2019). Microalgae Culturing To Produce Biobased Diesel Fuels: An Overview of the Basics, Challenges, and a Look toward a True Biorefinery Future. Industrial & Engineering Chemistry Research. 58(35). 15724–15746. 19 indexed citations

15.

Fortela, Dhan Lord B., Kyle Farmer, Wayne Sharp, et al.. (2019). A Methodology for Global Sensitivity Analysis of Activated Sludge Models: Case Study with Activated Sludge Model No. 3 (ASM3). Water Environment Research. 91(9). 865–876. 6 indexed citations

16.

Fortela, Dhan Lord B., Wayne Sharp, Emmanuel Revellame, et al.. (2019). Computational evaluation for effects of feedstock variations on the sensitivities of biochemical mechanism parameters in anaerobic digestion kinetic models. Biochemical Engineering Journal. 143. 212–223. 5 indexed citations

17.

Sharp, Wayne. (2001). Becoming a Wireless Campus. T.H.E. Journal Technological Horizons in Education. 28(10). 60. 1 indexed citations

18.

Bricka, R. Mark & Wayne Sharp. (1993). Treatment of groundwater contaminated with low levels of military munitions. 3 indexed citations

19.

Sharp, Wayne & Thomas M. Walski. (1988). Predicting Internal Roughness in Water Mains. American Water Works Association. 80(11). 34–40. 95 indexed citations

20.

McCormack, Michael D., John A. Dunbar, & Wayne Sharp. (1984). A case study of stratigraphic interpretation using shear and compressional seismic data. Geophysics. 49(5). 509–520. 22 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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