John F. Moxnes

612 total citations
56 papers, 438 citations indexed

About

John F. Moxnes is a scholar working on Materials Chemistry, Mechanics of Materials and Orthopedics and Sports Medicine. According to data from OpenAlex, John F. Moxnes has authored 56 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 12 papers in Mechanics of Materials and 9 papers in Orthopedics and Sports Medicine. Recurrent topics in John F. Moxnes's work include Sports Performance and Training (9 papers), Energetic Materials and Combustion (9 papers) and High-Velocity Impact and Material Behavior (8 papers). John F. Moxnes is often cited by papers focused on Sports Performance and Training (9 papers), Energetic Materials and Combustion (9 papers) and High-Velocity Impact and Material Behavior (8 papers). John F. Moxnes collaborates with scholars based in Norway and Sweden. John F. Moxnes's co-authors include Kjell Hausken, Erik Unneberg, Tomas L. Jensen, Øyvind Sandbakk, Olav Albert Christophersen, Dennis Christensen, S. Børve, Birgitte Freiesleben de Blasio, Aina Elisabeth Fossum Moen and Truls Michael Leegaard and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

John F. Moxnes

51 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John F. Moxnes Norway 12 134 97 71 64 36 56 438
Ernest L. Baker United States 9 162 1.2× 154 1.6× 106 1.5× 8 0.1× 34 0.9× 55 338
Taoran Liu China 16 196 1.5× 15 0.2× 40 0.6× 2 0.0× 4 0.1× 68 671
Jiangtao Guo China 19 115 0.9× 55 0.6× 24 0.3× 8 0.2× 88 1.2k
René Schmidt Germany 13 34 0.3× 37 0.4× 66 0.9× 1 0.0× 11 0.3× 39 627
Michael S.A. Bradley United Kingdom 13 117 0.9× 67 0.7× 23 0.3× 32 0.9× 42 660
Jin Cheng China 13 55 0.4× 118 1.2× 21 0.3× 9 0.3× 33 507
Dong-Eon Kim South Korea 13 27 0.2× 48 0.5× 26 0.4× 2 0.0× 9 0.3× 67 497
Robert D. Small United States 11 36 0.3× 43 0.4× 22 0.3× 4 0.1× 3 0.1× 37 556
Sijun Kim South Korea 12 57 0.4× 114 1.2× 14 0.2× 98 2.7× 65 491

Countries citing papers authored by John F. Moxnes

Since Specialization
Citations

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

Fields of papers citing papers by John F. Moxnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Moxnes. 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 John F. Moxnes. The network helps show where John F. Moxnes may publish in the future.

Co-authorship network of co-authors of John F. Moxnes

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Moxnes. A scholar is included among the top collaborators of John F. Moxnes 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 John F. Moxnes. John F. Moxnes 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.
Moxnes, John F., et al.. (2017). A computational study of ANTA and NTO derivatives. Journal of Molecular Modeling. 23(8). 240–240. 9 indexed citations
2.
Kjønstad, Eirik F., John F. Moxnes, Tomas L. Jensen, & Erik Unneberg. (2016). All molecular surfaces are equal: demanding invariance of predictions in linear single-variable models. Molecular Physics. 114(10). 1559–1567. 1 indexed citations
3.
Moxnes, John F., Aina Elisabeth Fossum Moen, & Truls Michael Leegaard. (2015). Studying the time trend of Methicillin-resistant Staphylococcus aureus (MRSA) in Norway by use of non-stationary γ-Poisson distributions. BMJ Open. 5(10). e007163–e007163. 1 indexed citations
4.
Moxnes, Erling & John F. Moxnes. (2014). Mathematical simulation of energy expenditure and recovery during sprint cross-country skiing. Open Access Journal of Sports Medicine. 5. 115–115. 8 indexed citations
5.
Hausken, Kjell, John F. Moxnes, & Øyvind Sandbakk. (2014). Using the power balance model to simulate cross-country skiing on varying terrain. SHILAP Revista de lepidopterología. 5. 89–89. 15 indexed citations
6.
Moxnes, John F., et al.. (2014). Strain rate dependency and fragmentation pattern of expanding warheads. Defence Technology. 11(1). 1–9. 14 indexed citations
7.
Moxnes, John F., Birgitte Freiesleben de Blasio, Truls Michael Leegaard, & Aina Elisabeth Fossum Moen. (2013). Methicillin-Resistant Staphylococcus aureus (MRSA) Is Increasing in Norway: A Time Series Analysis of Reported MRSA and Methicillin-Sensitive S. aureus Cases, 1997–2010. PLoS ONE. 8(8). e70499–e70499. 20 indexed citations
8.
Jensen, Tomas L., John F. Moxnes, & Erik Unneberg. (2013). A Density Functional Theory Comparison Study of the Surface and Lattice Energy of Sodium Chloride. Journal of Computational and Theoretical Nanoscience. 10(2). 464–469. 4 indexed citations
9.
Moxnes, John F., Kjell Hausken, & Øyvind Sandbakk. (2012). On the kinetics of anaerobic power. Theoretical Biology and Medical Modelling. 9(1). 29–29. 6 indexed citations
10.
Løvvik, Ole Martin, Tomas L. Jensen, John F. Moxnes, Ole Swang, & Erik Unneberg. (2010). Surface stability of potassium nitrate (KNO3) from density functional theory. Computational Materials Science. 50(2). 356–362. 7 indexed citations
11.
Moxnes, John F. & Kjell Hausken. (2009). A dynamic model of Nordic diagonal stride skiing, with a literature review of cross country skiing. Computer Methods in Biomechanics & Biomedical Engineering. 12(5). 531–551. 8 indexed citations
12.
Moxnes, John F. & Kjell Hausken. (2009). A MATHEMATICAL MODEL FOR TRAINING IMPULSE AND LACTATE INFLUX AND OUTFLUX DURING EXERCISE. International Journal of Modern Physics C. 20(1). 147–177. 3 indexed citations
13.
Moxnes, John F. & Kjell Hausken. (2008). Cross-country skiing motion equations, locomotive forces and mass scaling laws. Mathematical and Computer Modelling of Dynamical Systems. 14(6). 535–569. 8 indexed citations
14.
Moxnes, John F. & Kjell Hausken. (2008). The dynamics of athletic performance, fitness and fatigue. Mathematical and Computer Modelling of Dynamical Systems. 14(6). 515–533. 10 indexed citations
15.
Moxnes, John F. & Olav Albert Christophersen. (2008). The Spanish flu as a worst case scenario?. Microbial Ecology in Health and Disease. 20(1). 7 indexed citations
16.
Moxnes, John F. & Kjell Hausken. (2007). The population dynamics of potato cyst nematodes. Ecological Modelling. 207(2-4). 339–348. 11 indexed citations
17.
Hausken, Kjell & John F. Moxnes. (2005). Approximations and empirics for stochastic war equations. Naval Research Logistics (NRL). 52(7). 682–700. 7 indexed citations
18.
Moxnes, John F., et al.. (2004). Mechanical studies of wolfram carbide.
19.
Moxnes, John F., et al.. (2004). Microscopic studies of wolfram carbide after fracturing. 1 indexed citations
20.
Hausken, Kjell & John F. Moxnes. (2001). Behaviorist stochastic modeling of instrumental learning. Behavioural Processes. 56(2). 121–129. 6 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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