Daniel C. Billing

1.3k total citations
42 papers, 923 citations indexed

About

Daniel C. Billing is a scholar working on Occupational Therapy, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel C. Billing has authored 42 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Occupational Therapy, 18 papers in Orthopedics and Sports Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Daniel C. Billing's work include Occupational Health and Performance (31 papers), Musculoskeletal pain and rehabilitation (12 papers) and Ergonomics and Musculoskeletal Disorders (11 papers). Daniel C. Billing is often cited by papers focused on Occupational Health and Performance (31 papers), Musculoskeletal pain and rehabilitation (12 papers) and Ergonomics and Musculoskeletal Disorders (11 papers). Daniel C. Billing collaborates with scholars based in Australia, United States and Canada. Daniel C. Billing's co-authors include A. Hunt, Jace R. Drain, Brad Aisbett, Andrew Wixted, Daniel James, Herbert Groeller, Joanne N. Caldwell, Rob Marc Orr, Paul J. Tofari and Karl E. Friedl and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and The Journal of Strength and Conditioning Research.

In The Last Decade

Daniel C. Billing

41 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Billing Australia 20 506 352 243 168 156 42 923
Ben Schram Australia 21 675 1.3× 638 1.8× 181 0.7× 277 1.6× 162 1.0× 125 1.4k
Tyson Grier United States 24 971 1.9× 805 2.3× 312 1.3× 293 1.7× 137 0.9× 80 1.5k
Veikko Louhevaara Finland 25 570 1.1× 402 1.1× 201 0.8× 336 2.0× 423 2.7× 74 1.7k
Dieter Leyk Germany 19 154 0.3× 404 1.1× 158 0.7× 110 0.7× 88 0.6× 62 1.2k
Mark G. Abel United States 17 386 0.8× 348 1.0× 95 0.4× 70 0.4× 115 0.7× 63 1000
Mikkel Brandt Denmark 23 149 0.3× 369 1.0× 167 0.7× 603 3.6× 246 1.6× 52 1.2k
Ulrika Aasa Sweden 17 193 0.4× 301 0.9× 103 0.4× 387 2.3× 122 0.8× 46 893
Goris Nazari Canada 16 149 0.3× 154 0.4× 82 0.3× 242 1.4× 84 0.5× 54 868
Tatiana de Oliveira Sato Brazil 19 181 0.4× 115 0.3× 143 0.6× 321 1.9× 207 1.3× 102 961
Patricia C. Fehling United States 15 246 0.5× 356 1.0× 142 0.6× 28 0.2× 57 0.4× 31 911

Countries citing papers authored by Daniel C. Billing

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Billing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Billing. 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 Daniel C. Billing. The network helps show where Daniel C. Billing may publish in the future.

Co-authorship network of co-authors of Daniel C. Billing

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Billing. A scholar is included among the top collaborators of Daniel C. Billing 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 Daniel C. Billing. Daniel C. Billing 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.
Billing, Daniel C., et al.. (2020). The implications of emerging technology on military human performance research priorities. Journal of science and medicine in sport. 24(10). 947–953. 24 indexed citations
2.
3.
Hunt, A., Ian B. Stewart, & Daniel C. Billing. (2019). Indices of physiological strain for firefighters of the Australian Defence Forces. Journal of Occupational and Environmental Hygiene. 16(11). 727–734. 12 indexed citations
4.
Karakolis, Thomas, et al.. (2018). Consensus paper on testing and evaluation of military exoskeletons for the dismounted combatant. Journal of science and medicine in sport. 21(11). 1154–1161. 37 indexed citations
5.
Ham, Daniel J., et al.. (2018). A method for developing organisation-wide manual handling based physical employment standards in a military context. Journal of science and medicine in sport. 21(11). 1162–1167. 15 indexed citations
6.
Saxby, David J., et al.. (2018). Primarily hip-borne load carriage does not alter biomechanical risk factors for overuse injuries in soldiers. Journal of science and medicine in sport. 22(2). 158–163. 8 indexed citations
7.
Lovalekar, Mita, Marilyn A. Sharp, Daniel C. Billing, et al.. (2018). International consensus on military research priorities and gaps — Survey results from the 4th International Congress on Soldiers’ Physical Performance. Journal of science and medicine in sport. 21(11). 1125–1130. 23 indexed citations
8.
Bishop, Peter J., David J. Saxby, Tim L. A. Doyle, et al.. (2018). Tibiofemoral joint contact forces increase with load magnitude and walking speed but remain almost unchanged with different types of carried load. PLoS ONE. 13(11). e0206859–e0206859. 27 indexed citations
9.
Nindl, Bradley C., Daniel C. Billing, Jace R. Drain, et al.. (2018). Perspectives on resilience for military readiness and preparedness: Report of an international military physiology roundtable. Journal of science and medicine in sport. 21(11). 1116–1124. 115 indexed citations
10.
Drain, Jace R., Brad Aisbett, Michael C. Lewis, & Daniel C. Billing. (2017). The Pandolf equation under-predicts the metabolic rate of contemporary military load carriage. Journal of science and medicine in sport. 20. S104–S108. 19 indexed citations
11.
12.
Hunt, A., Daniel C. Billing, Mark J. Patterson, & Joanne N. Caldwell. (2016). Heat strain during military training activities: The dilemma of balancing force protection and operational capability. Temperature. 3(2). 307–317. 42 indexed citations
13.
Middleton, Kane, et al.. (2016). The sensitivity of a military-based occupational fitness test of muscular strength. Applied Ergonomics. 60. 255–259. 5 indexed citations
14.
Beck, Ben, et al.. (2016). Predicting stretcher carriage: Investigating variations in bilateral carry tests. Applied Ergonomics. 55. 124–132. 9 indexed citations
15.
Drain, Jace R., et al.. (2015). Predicting physiological capacity of human load carriage – A review. Applied Ergonomics. 52. 85–94. 45 indexed citations
16.
Groeller, Herbert, et al.. (2015). How Effective Is Initial Military-Specific Training in the Development of Physical Performance of Soldiers?. The Journal of Strength and Conditioning Research. 29(Supplement 11). S158–S162. 24 indexed citations
17.
Hunt, A., Rob Marc Orr, & Daniel C. Billing. (2013). Developing Physical Capability Standards That are Predictive of Success on Special Forces Selection Courses. Military Medicine. 178(6). 619–624. 34 indexed citations
18.
Billing, Daniel C., et al.. (2013). Development of a Valid Simulation Assessment for a Military Dismounted Assault Task. Military Medicine. 178(3). 315–320. 24 indexed citations
19.
Billing, Daniel C., et al.. (2011). Effect of Load Carriage on Performance of an Explosive, Anaerobic Military Task. Military Medicine. 176(9). 1027–1031. 65 indexed citations
20.
Wixted, Andrew, Daniel C. Billing, & Daniel James. (2010). Validation of trunk mounted inertial sensors for analysing running biomechanics under field conditions, using synchronously collected foot contact data. Sports Engineering. 12(4). 207–212. 52 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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