David J. N. Wall

1.3k total citations
73 papers, 978 citations indexed

About

David J. N. Wall is a scholar working on Mathematical Physics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, David J. N. Wall has authored 73 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mathematical Physics, 20 papers in Biomedical Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in David J. N. Wall's work include Numerical methods in inverse problems (18 papers), Microwave Imaging and Scattering Analysis (14 papers) and Mathematical Biology Tumor Growth (10 papers). David J. N. Wall is often cited by papers focused on Numerical methods in inverse problems (18 papers), Microwave Imaging and Scattering Analysis (14 papers) and Mathematical Biology Tumor Growth (10 papers). David J. N. Wall collaborates with scholars based in New Zealand, United States and Sweden. David J. N. Wall's co-authors include Takashi Takenaka, G.C. Wake, Mitsuru Tanaka, Bruce C. Baguley, Britta Basse, Michael J. Plank, Elaine S. Marshall, T. David, R.H.T. Bates and Bruce van Brunt and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Journal of Physics D Applied Physics.

In The Last Decade

David J. N. Wall

70 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. N. Wall New Zealand 16 299 199 173 163 160 73 978
Gennady Margolin United States 20 44 0.1× 89 0.4× 530 3.1× 194 1.2× 42 0.3× 36 1.4k
John Miles United States 24 148 0.5× 48 0.2× 44 0.3× 9 0.1× 205 1.3× 92 2.0k
Piotr Szymczak Poland 24 285 1.0× 24 0.1× 426 2.5× 14 0.1× 322 2.0× 115 2.0k
M. P. Almeida Brazil 16 144 0.5× 20 0.1× 37 0.2× 32 0.2× 159 1.0× 37 1.3k
Juanjo Nieto Spain 15 75 0.3× 82 0.4× 200 1.2× 404 2.5× 66 0.4× 37 957
Didier Bresch France 25 74 0.2× 1.0k 5.2× 126 0.7× 208 1.3× 29 0.2× 107 2.5k
John W. Norbury United States 20 84 0.3× 22 0.1× 194 1.1× 424 2.6× 30 0.2× 76 1.4k
C. Macaskill Australia 20 182 0.6× 11 0.1× 56 0.3× 15 0.1× 74 0.5× 69 1.1k
J. W. Dold United Kingdom 23 68 0.2× 49 0.2× 10 0.1× 61 0.4× 109 0.7× 55 1.7k
Rodrigo Soto Chile 24 517 1.7× 18 0.1× 132 0.8× 37 0.2× 358 2.2× 108 2.0k

Countries citing papers authored by David J. N. Wall

Since Specialization
Citations

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

Fields of papers citing papers by David J. N. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. N. Wall. 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 David J. N. Wall. The network helps show where David J. N. Wall may publish in the future.

Co-authorship network of co-authors of David J. N. Wall

This figure shows the co-authorship network connecting the top 25 collaborators of David J. N. Wall. A scholar is included among the top collaborators of David J. N. Wall 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 David J. N. Wall. David J. N. Wall 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.
Basse, Britta, et al.. (2012). Mathematical Determination of Cell Population Doubling Times for Multiple Cell Lines. Bulletin of Mathematical Biology. 74(10). 2510–2534. 12 indexed citations
2.
Habli, Mounira, Erik Michelfelder, James Cnota, et al.. (2011). Prevalence and progression of recipient‐twin cardiomyopathy in early‐stage twin–twin transfusion syndrome. Ultrasound in Obstetrics and Gynecology. 39(1). 63–68. 44 indexed citations
3.
4.
Plank, Michael J., et al.. (2006). The role of endothelial calcium and nitric oxide in the localisation of atherosclerosis. Mathematical Biosciences. 207(1). 26–39. 21 indexed citations
5.
Wall, David J. N., et al.. (2005). On a functional equation model of transient cell growth. Mathematical Medicine and Biology A Journal of the IMA. 22(4). 371–390. 4 indexed citations
6.
Plank, Michael J., David J. N. Wall, & T. David. (2005). Atherosclerosis and calcium signalling in endothelial cells. Progress in Biophysics and Molecular Biology. 91(3). 287–313. 61 indexed citations
7.
Basse, Britta, Bruce C. Baguley, Ellen Marshall, G.C. Wake, & David J. N. Wall. (2004). Modelling the flow of cytometric data obtained from unperturbed human tumour cell lines: parameter fitting and comparison. Bulletin of Mathematical Biology. 67(4). 815–830. 34 indexed citations
8.
Basse, Britta, Bruce C. Baguley, Elaine S. Marshall, G.C. Wake, & David J. N. Wall. (2004). Modelling cell population growth with applications to cancer therapy in human tumour cell lines. Progress in Biophysics and Molecular Biology. 85(2-3). 353–368. 40 indexed citations
9.
Basse, Britta, Bruce C. Baguley, Elaine S. Marshall, et al.. (2004). Modelling cell death in human tumour cell lines exposed to the anticancer drug paclitaxel. Journal of Mathematical Biology. 49(4). 329–357. 50 indexed citations
10.
Basse, Britta, Bruce C. Baguley, Elaine S. Marshall, et al.. (2003). A mathematical model for analysis of the cell cycle in cell lines derived from human tumors. Journal of Mathematical Biology. 47(4). 295–312. 88 indexed citations
11.
12.
Takenaka, Takashi, et al.. (2002). Intensity-only reconstruction algorithm for diffraction tomography. 3. 2284–2287. 1 indexed citations
13.
Shorten, Paul R. & David J. N. Wall. (2001). Fluid velocity profile reconstruction for non-Newtonian sheardispersive flow. Journal of Applied Mathematics and Decision Sciences. 5(2). 87–104. 4 indexed citations
14.
Wall, David J. N. & Gerhard Kristensson. (1998). Inverse problems associated with simple nonlinear wave equations. Lund University Publications (Lund University). 2 indexed citations
15.
Wall, David J. N., et al.. (1997). On some inverse problems for a nonlinear transport equation. Inverse Problems. 13(2). 283–295. 14 indexed citations
16.
Kibler, David F., et al.. (1984). Use of limited site-specific flood information in estimating flood peaks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
17.
Bates, R.H.T., et al.. (1977). Null field approach to scalar diffraction I. General method. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 287(1339). 45–78. 58 indexed citations
18.
Bates, R.H.T., et al.. (1977). Null field approach to scalar diffraction III. Inverse methods. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 287(1339). 97–114. 2 indexed citations
19.
Bates, R.H.T., et al.. (1977). Null field approach to scalar diffraction II. Approximate methods. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 287(1339). 79–95. 5 indexed citations
20.
Wall, David J. N.. (1975). Surface currents on perfectly conducting elliptic cylinders. IRE Transactions on Antennas and Propagation. 23(2). 301–302. 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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