Shannon L. Eichmann

1.3k total citations
45 papers, 1.0k citations indexed

About

Shannon L. Eichmann is a scholar working on Mechanics of Materials, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Shannon L. Eichmann has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanics of Materials, 16 papers in Ocean Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Shannon L. Eichmann's work include Hydrocarbon exploration and reservoir analysis (16 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers) and Force Microscopy Techniques and Applications (7 papers). Shannon L. Eichmann is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (16 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers) and Force Microscopy Techniques and Applications (7 papers). Shannon L. Eichmann collaborates with scholars based in United States, Saudi Arabia and India. Shannon L. Eichmann's co-authors include Michael A. Bevan, Matteo Pasquali, Dmitri E. Tsentalovich, W. K. Anson, Francesca Mirri, Colin C. Young, Natnael Behabtu, Tienyi T. Hsu, Jeffrey G. Jacot and Flavia Vitale and has published in prestigious journals such as Nano Letters, ACS Nano and Langmuir.

In The Last Decade

Shannon L. Eichmann

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannon L. Eichmann United States 16 460 363 192 150 149 45 1.0k
Alexander B. Tesler Germany 20 760 1.7× 521 1.4× 384 2.0× 127 0.8× 121 0.8× 46 1.8k
Chao Fang United States 20 427 0.9× 388 1.1× 433 2.3× 136 0.9× 42 0.3× 56 1.2k
C.N. Catherine Lam Canada 15 271 0.6× 263 0.7× 244 1.3× 51 0.3× 85 0.6× 23 1.1k
Paul Prentice United Kingdom 19 930 2.0× 837 2.3× 162 0.8× 31 0.2× 135 0.9× 64 1.6k
Ahmed Hamraoui France 12 246 0.5× 157 0.4× 164 0.9× 61 0.4× 77 0.5× 26 844
Steve Trigwell United States 24 447 1.0× 639 1.8× 452 2.4× 22 0.1× 95 0.6× 62 1.6k
Boris Khusid United States 21 747 1.6× 308 0.8× 244 1.3× 20 0.1× 111 0.7× 102 1.4k
Yuan Feng China 17 249 0.5× 386 1.1× 422 2.2× 384 2.6× 115 0.8× 51 1.6k
Deke Li Canada 6 216 0.5× 283 0.8× 253 1.3× 36 0.2× 67 0.4× 10 998
Marcos Flores Chile 21 306 0.7× 586 1.6× 502 2.6× 16 0.1× 92 0.6× 84 1.2k

Countries citing papers authored by Shannon L. Eichmann

Since Specialization
Citations

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

Fields of papers citing papers by Shannon L. Eichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon L. Eichmann. 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 Shannon L. Eichmann. The network helps show where Shannon L. Eichmann may publish in the future.

Co-authorship network of co-authors of Shannon L. Eichmann

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon L. Eichmann. A scholar is included among the top collaborators of Shannon L. Eichmann 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 Shannon L. Eichmann. Shannon L. Eichmann 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.
Peng, Sheng, et al.. (2024). Impact of gas adsorption of nitrogen, argon, methane, and CO2 on gas permeability in nanoporous rocks. Gas Science and Engineering. 131. 205478–205478. 1 indexed citations
2.
Eichmann, Shannon L., et al.. (2024). Risk assessment on the impact of Non-Darcy flow on unconventional well performance.. Gas Science and Engineering. 124. 205245–205245. 4 indexed citations
3.
Eichmann, Shannon L., et al.. (2023). Image-Based Characterization of Carbonate Mudrocks to Link Nano-scale Pore Characteristics to Thermal Maturity. Microscopy and Microanalysis. 29(Supplement_1). 126–127. 1 indexed citations
4.
5.
Eichmann, Shannon L., et al.. (2022). Single-walled carbon nanotube reptation dynamics in submicron sized pores from randomly packed mono-sized colloids. Soft Matter. 18(29). 5509–5517. 2 indexed citations
6.
Eichmann, Shannon L., et al.. (2022). Method of evaluating cement-to-formation bond strength with computed tomography image analysis. The Leading Edge. 41(9). 611–616. 3 indexed citations
7.
Hayden, Steven C., et al.. (2022). Genesis of Nanogalvanic Corrosion Revealed in Pearlitic Steel. Nano Letters. 22(17). 7087–7093. 13 indexed citations
8.
Eichmann, Shannon L., et al.. (2022). Terahertz imaging for non-destructive porosity measurements of carbonate rocks. Scientific Reports. 12(1). 18018–18018. 7 indexed citations
9.
Eichmann, Shannon L., et al.. (2021). Computing elastic properties of organic-rich source rocks using digital images. The Leading Edge. 40(9). 662–666. 2 indexed citations
10.
Sajadi, Seyed Mohammad, Chandra Sekhar Tiwary, Shannon L. Eichmann, et al.. (2021). Deformation resilient cement structures using 3D-printed molds. iScience. 24(3). 102174–102174. 17 indexed citations
11.
Eichmann, Shannon L., et al.. (2021). Cement to formation bond strength evaluation using image analysis. 2368–2372. 1 indexed citations
12.
Chang, Sehoon, Daniel A. Cogswell, Shannon L. Eichmann, et al.. (2020). Toward Reservoir-on-a-Chip: Rapid Performance Evaluation of Enhanced Oil Recovery Surfactants for Carbonate Reservoirs Using a Calcite-Coated Micromodel. Scientific Reports. 10(1). 782–782. 75 indexed citations
13.
Eichmann, Shannon L., Poorna Srinivasan, Shawn Zhang, & James M. Howard. (2020). Quantitative Image Analysis of Source Rocks Using Machine Learning Segmentation. Microscopy and Microanalysis. 26(S2). 2862–2865. 1 indexed citations
14.
Gizzatov, Ayrat, et al.. (2019). Nanofluid of Petroleum Sulfonate Nanocapsules for Enhanced Oil Recovery in High-Temperature and High-Salinity Reservoirs. Energy & Fuels. 33(11). 11567–11573. 23 indexed citations
15.
Chen, Hsieh, Shannon L. Eichmann, & N. A. Burnham. (2019). Understanding Calcium-Mediated Adhesion of Nanomaterials in Reservoir Fluids by Insights from Molecular Dynamics Simulations. Scientific Reports. 9(1). 10763–10763. 12 indexed citations
16.
Eichmann, Shannon L. & N. A. Burnham. (2017). Calcium-Mediated Adhesion of Nanomaterials in Reservoir Fluids. Scientific Reports. 7(1). 11613–11613. 15 indexed citations
17.
Cox, Jason R., et al.. (2017). Pyrolyzable Nanoparticle Tracers for Environmental Interrogation and Monitoring. ACS Applied Materials & Interfaces. 9(15). 13111–13120. 12 indexed citations
18.
Pok, Seokwon, Flavia Vitale, Shannon L. Eichmann, et al.. (2014). Biocompatible Carbon Nanotube–Chitosan Scaffold Matching the Electrical Conductivity of the Heart. ACS Nano. 8(10). 9822–9832. 181 indexed citations
19.
Eichmann, Shannon L., et al.. (2011). Imaging Carbon Nanotube Interactions, Diffusion, and Stability in Nanopores. ACS Nano. 5(7). 5909–5919. 20 indexed citations
20.
Beltran-Villegas, Daniel J., et al.. (2010). Charged Micelle Depletion Attraction and Interfacial Colloidal Phase Behavior. Langmuir. 26(24). 18710–18717. 37 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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