Daniel F. Feeney

499 total citations
26 papers, 331 citations indexed

About

Daniel F. Feeney is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Cognitive Neuroscience. According to data from OpenAlex, Daniel F. Feeney has authored 26 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 10 papers in Orthopedics and Sports Medicine and 8 papers in Cognitive Neuroscience. Recurrent topics in Daniel F. Feeney's work include Muscle activation and electromyography studies (10 papers), Lower Extremity Biomechanics and Pathologies (7 papers) and Sports injuries and prevention (7 papers). Daniel F. Feeney is often cited by papers focused on Muscle activation and electromyography studies (10 papers), Lower Extremity Biomechanics and Pathologies (7 papers) and Sports injuries and prevention (7 papers). Daniel F. Feeney collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Daniel F. Feeney's co-authors include Roger M. Enoka, Diba Mani, Awad M. Almuklass, Slobodan Jarić, Melissa R. Mazzo, Thomas W. Kaminski, Scott K. Lynn, Anthony Machi, Robyn Capobianco and Katherine Balfany and has published in prestigious journals such as The Journal of Physiology, Journal of Neurophysiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Daniel F. Feeney

23 papers receiving 317 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 F. Feeney United States 11 237 131 105 38 35 26 331
Christine A. Dairaghi United States 6 193 0.8× 94 0.7× 84 0.8× 28 0.7× 64 1.8× 9 356
Vegard Moe Iversen Norway 11 178 0.8× 244 1.9× 64 0.6× 25 0.7× 22 0.6× 18 429
J. Petrofsky United States 7 244 1.0× 128 1.0× 61 0.6× 18 0.5× 18 0.5× 14 386
Raphael Luiz Sakugawa Brazil 15 146 0.6× 186 1.4× 46 0.4× 12 0.3× 47 1.3× 42 506
A. Rosponi Italy 9 199 0.8× 174 1.3× 71 0.7× 14 0.4× 38 1.1× 14 354
Ulysses Fernandes Ervilha Brazil 10 197 0.8× 155 1.2× 81 0.8× 13 0.3× 48 1.4× 39 421
Susan Dewhurst United Kingdom 13 102 0.4× 135 1.0× 39 0.4× 22 0.6× 110 3.1× 27 364
Jamie Pethick United Kingdom 14 295 1.2× 224 1.7× 128 1.2× 10 0.3× 32 0.9× 23 446
Matheus Joner Wiest Canada 10 197 0.8× 57 0.4× 57 0.5× 87 2.3× 21 0.6× 28 328
Kevin E. Power Canada 7 177 0.7× 134 1.0× 78 0.7× 18 0.5× 7 0.2× 12 296

Countries citing papers authored by Daniel F. Feeney

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Feeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel F. Feeney

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Feeney. A scholar is included among the top collaborators of Daniel F. Feeney 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 F. Feeney. Daniel F. Feeney 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.
Feeney, Daniel F., et al.. (2023). The effect of upper panel stiffness on biomechanical performance in athletic footwear. Footwear Science. 15(3). 193–202. 1 indexed citations
2.
Honert, Eric C., et al.. (2023). Evaluating footwear “in the wild”: Examining wrap and lace trail shoe closures during trail running. Frontiers in Sports and Active Living. 4. 1076609–1076609. 6 indexed citations
3.
Honert, Eric C., et al.. (2023). Evaluating wrapping alpine ski boots during on-snow carving. Frontiers in Sports and Active Living. 5. 1192737–1192737.
4.
Honert, Eric C., et al.. (2023). Biomechanical features of fit of a trail shoe with different uppers during graded running. Footwear Science. 15(sup1). 1 indexed citations
5.
Mazzo, Melissa R., et al.. (2022). Rethinking the Statistical Analysis of Neuromechanical Data. Exercise and Sport Sciences Reviews. 51(1). 43–50. 27 indexed citations
6.
Feeney, Daniel F., et al.. (2021). Alternative upper configurations during agility-based movements: part 2, joint-level biomechanics. Footwear Science. 13(2). 167–180. 5 indexed citations
7.
Dicharry, Jay, et al.. (2021). Alternative upper configurations during agility-based movements: part 1, biomechanical performance. Footwear Science. 13(1). 91–103. 7 indexed citations
8.
Feeney, Daniel F., et al.. (2021). Use of in-shoe pressure to quantify running shoe fit. Footwear Science. 13(sup1). S71–S72. 2 indexed citations
9.
Almuklass, Awad M., et al.. (2020). Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis. Journal of Neurophysiology. 123(6). 2191–2200. 24 indexed citations
10.
Feeney, Daniel F., et al.. (2018). Comparison of voice systems for Human Space Flight and Satellite Missions. 2018 SpaceOps Conference.
11.
Almuklass, Awad M., et al.. (2018). Peg-manipulation capabilities of middle-aged adults have a greater influence on pegboard times than those of young and old adults. Experimental Brain Research. 236(8). 2165–2172. 5 indexed citations
12.
Mani, Diba, Daniel F. Feeney, & Roger M. Enoka. (2018). The modulation of force steadiness by electrical nerve stimulation applied to the wrist extensors differs for young and older adults. European Journal of Applied Physiology. 119(1). 301–310. 8 indexed citations
13.
Capobianco, Robyn, et al.. (2018). Patients with sacroiliac joint dysfunction exhibit altered movement strategies when performing a sit-to-stand task. The Spine Journal. 18(8). 1434–1440. 11 indexed citations
14.
Lynn, Scott K., et al.. (2018). Validity and Reliability of Surface Electromyography Measurements from a Wearable Athlete Performance System.. PubMed. 17(2). 205–215. 42 indexed citations
15.
Feeney, Daniel F., et al.. (2018). Individuals with sacroiliac joint dysfunction display asymmetrical gait and a depressed synergy between muscles providing sacroiliac joint force closure when walking. Journal of Electromyography and Kinesiology. 43. 95–103. 18 indexed citations
16.
Dideriksen, Jakob Lund, Daniel F. Feeney, Awad M. Almuklass, & Roger M. Enoka. (2017). Control of force during rapid visuomotor force-matching tasks can be described by discrete time PID control algorithms. Experimental Brain Research. 235(8). 2561–2573. 9 indexed citations
17.
Almuklass, Awad M., et al.. (2017). Peg-manipulation capabilities during a test of manual dexterity differ for persons with multiple sclerosis and healthy individuals. Experimental Brain Research. 235(11). 3487–3493. 10 indexed citations
18.
Feeney, Daniel F., et al.. (2017). Individuals with Sacroiliac Joint Dysfunction Display Fewer Muscle Synergies When Walking. Medicine & Science in Sports & Exercise. 49(5S). 774–774. 1 indexed citations
19.
Feeney, Daniel F., Steven J. Stanhope, Thomas W. Kaminski, Anthony Machi, & Slobodan Jarić. (2015). Loaded Vertical Jumping: Force–Velocity Relationship, Work, and Power. Journal of Applied Biomechanics. 32(2). 120–127. 40 indexed citations
20.
Santos, Derek, et al.. (2001). Distribution of in-shoe dynamic plantar foot pressures in professional football players. The Foot. 11(1). 10–14. 22 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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