Andrew J. Sederman

6.5k total citations
199 papers, 5.1k citations indexed

About

Andrew J. Sederman is a scholar working on Nuclear and High Energy Physics, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew J. Sederman has authored 199 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Nuclear and High Energy Physics, 79 papers in Computational Mechanics and 77 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew J. Sederman's work include NMR spectroscopy and applications (119 papers), Advanced MRI Techniques and Applications (64 papers) and Heat and Mass Transfer in Porous Media (33 papers). Andrew J. Sederman is often cited by papers focused on NMR spectroscopy and applications (119 papers), Advanced MRI Techniques and Applications (64 papers) and Heat and Mass Transfer in Porous Media (33 papers). Andrew J. Sederman collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew J. Sederman's co-authors include Lynn F. Gladden, Michael D. Mantle, Daniel J. Holland, Michael L. Johns, Paul Alexander, John S. Dennis, Christoph R. Müller, Mick D. Mantle, Stuart A. Scott and E. Hugh Stitt and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nano Letters.

In The Last Decade

Andrew J. Sederman

198 papers receiving 5.0k citations

Peers

Andrew J. Sederman
Daniel J. Holland United Kingdom
Michael D. Mantle United Kingdom
D.J. Parker United Kingdom
David Linton Johnson United States
Eiichi Fukushima United States
Nicos Martys United States
Geoffrey Mason United States
Daniel J. Holland United Kingdom
Andrew J. Sederman
Citations per year, relative to Andrew J. Sederman Andrew J. Sederman (= 1×) peers Daniel J. Holland

Countries citing papers authored by Andrew J. Sederman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Sederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Sederman. 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 Andrew J. Sederman. The network helps show where Andrew J. Sederman may publish in the future.

Co-authorship network of co-authors of Andrew J. Sederman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Sederman. A scholar is included among the top collaborators of Andrew J. Sederman 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 Andrew J. Sederman. Andrew J. Sederman 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.
Sederman, Andrew J., et al.. (2024). Investigating the coupling between transport and reaction within a catalyst pellet using operando magnetic resonance spectroscopic imaging. Catalysis Today. 430. 114497–114497. 2 indexed citations
2.
Sederman, Andrew J., et al.. (2024). The effect of pellet shape on turbulent hydrodynamics in narrow packed beds: A magnetic resonance velocity imaging study. Chemical Engineering Journal. 486. 149133–149133. 3 indexed citations
3.
Sederman, Andrew J., et al.. (2023). Magnetic resonance velocity imaging of turbulent gas flow in a packed bed of catalyst support pellets. Chemical Engineering Journal. 475. 145445–145445. 8 indexed citations
4.
Mantle, Mick D., Andrew J. Sederman, Timothy A. Baart, et al.. (2023). Operando magnetic resonance imaging of product distributions within the pores of catalyst pellets during Fischer–Tropsch synthesis. Nature Catalysis. 6(2). 185–195. 27 indexed citations
5.
Sederman, Andrew J., et al.. (2023). Effect of Tube-to-Pellet Diameter Ratio on Turbulent Hydrodynamics in Packed Beds: A Magnetic Resonance Velocity Imaging Study. Applied Magnetic Resonance. 54(11-12). 1493–1510. 2 indexed citations
6.
Sederman, Andrew J., et al.. (2023). Quantifying Liquid-Solid Mass Transfer in a Trickle Bed Using $${T}_{2}-{T}_{2}$$ Relaxation Exchange NMR. Applied Magnetic Resonance. 54(11-12). 1423–1443. 1 indexed citations
7.
Leutzsch, Markus, Andrew J. Sederman, Mick D. Mantle, et al.. (2021). Bulk and Confined Benzene-Cyclohexane Mixtures Studied by an Integrated Total Neutron Scattering and NMR Method. Topics in Catalysis. 64(9-12). 722–734. 8 indexed citations
8.
Benning, Martin, Matthias J. Ehrhardt, Lynn F. Gladden, et al.. (2019). Enhancing joint reconstruction and segmentation with non-convex Bregman iteration. Inverse Problems. 35(5). 55001–55001. 8 indexed citations
9.
Terenzi, Camilla, Andrew J. Sederman, Michael D. Mantle, & Lynn F. Gladden. (2019). Enabling High Spectral Resolution of Liquid Mixtures in Porous Media by Antidiagonal Projections of Two-Dimensional 1H NMR COSY Spectra. The Journal of Physical Chemistry Letters. 10(19). 5781–5785. 10 indexed citations
10.
Leutzsch, Markus, Andrew J. Sederman, Lynn F. Gladden, et al.. (2018). An integrated total neutron scattering – NMR approach for the study of heterogeneous catalysis. Chemical Communications. 54(72). 10191–10194. 10 indexed citations
11.
Sederman, Andrew J., et al.. (2017). Retaining both discrete and smooth features in 1D and 2D NMR relaxation and diffusion experiments. Journal of Magnetic Resonance. 284. 39–47. 10 indexed citations
12.
Sederman, Andrew J., et al.. (2016). PFG NMR and Bayesian analysis to characterise non-Newtonian fluids. Journal of Magnetic Resonance. 274. 103–114. 4 indexed citations
13.
Benning, Martin, et al.. (2014). Ultrafast magnetic-resonance-imaging velocimetry of liquid-liquid systems: Overcoming chemical-shift artifacts using compressed sensing. Physical Review E. 89(6). 63009–63009. 7 indexed citations
14.
15.
Stevenson, Paul, Andrew J. Sederman, Mick D. Mantle, Xueliang Li, & Lynn F. Gladden. (2010). Measurement of bubble size distribution in a gas–liquid foam using pulsed-field gradient nuclear magnetic resonance. Journal of Colloid and Interface Science. 352(1). 114–120. 22 indexed citations
16.
Nguyen, Thoa Thi Minh, Andrew J. Sederman, & Lynn F. Gladden. (2009). Characterisation of pulsing flow in trickle-bed reactors using ultra-fast magnetic resonance imaging. Diffusion fundamentals.. 10. 5 indexed citations
17.
Weber, Daniel, Michael D. Mantle, Andrew J. Sederman, & Lynn F. Gladden. (2009). Surface diffusion in catalysts probed by APGSTE NMR. Diffusion fundamentals.. 10. 1 indexed citations
18.
Xu, Chaoshui, Xiaodong Jia, R.A. Williams, et al.. (2008). Property predictions for packed columns using Monte Carlo and discrete element digital packing algorithms. Computer Modeling in Engineering & Sciences. 23(2). 117–126. 10 indexed citations
19.
Crawshaw, John P., Michael L. Johns, Michael D. Mantle, et al.. (2005). Displacement propagators of brine flowing within different types of sedimentary rock. Magnetic Resonance Imaging. 23(2). 349–351. 13 indexed citations
20.
Sederman, Andrew J., et al.. (2005). Ultrafast velocity imaging of single- and two-phase flows in a ceramic monolith. Magnetic Resonance Imaging. 23(2). 387–389. 9 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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