Daniel J. Keefer

530 total citations
19 papers, 344 citations indexed

About

Daniel J. Keefer is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Orthopedics and Sports Medicine. According to data from OpenAlex, Daniel J. Keefer has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Daniel J. Keefer's work include Cerebral Palsy and Movement Disorders (10 papers), Sports Performance and Training (5 papers) and Infant Development and Preterm Care (4 papers). Daniel J. Keefer is often cited by papers focused on Cerebral Palsy and Movement Disorders (10 papers), Sports Performance and Training (5 papers) and Infant Development and Preterm Care (4 papers). Daniel J. Keefer collaborates with scholars based in United States, Netherlands and Australia. Daniel J. Keefer's co-authors include Jennifer L. Caputo, Don W. Morgan, William J. Banz, Margaret A. Maher, David R. Bassett, Muhammad Ashraf, Michael B. Zemel, Warren G. Thompson, Philip E. Martin and Saïd Ahmaidi and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Experimental Biology and Medicine and Developmental Medicine & Child Neurology.

In The Last Decade

Daniel J. Keefer

18 papers receiving 323 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 J. Keefer United States 10 137 99 80 65 55 19 344
V. B. Unnithan United Kingdom 10 100 0.7× 97 1.0× 59 0.7× 26 0.4× 105 1.9× 19 409
Beatriz V. Ayub Canada 6 85 0.6× 30 0.3× 55 0.7× 99 1.5× 33 0.6× 8 326
Esther M. Haskvitz United States 10 37 0.3× 93 0.9× 87 1.1× 12 0.2× 109 2.0× 15 364
Edmund J. Burke United States 11 75 0.5× 94 0.9× 86 1.1× 36 0.6× 117 2.1× 29 424
Jie Zhuang China 11 127 0.9× 79 0.8× 120 1.5× 7 0.1× 60 1.1× 34 496
Anna Ogonowska-Słodownik Poland 8 49 0.4× 34 0.3× 61 0.8× 11 0.2× 46 0.8× 35 253
Colby R. Randall United States 4 26 0.2× 72 0.7× 189 2.4× 13 0.2× 71 1.3× 6 368
Tine Roman de Mettelinge Belgium 9 139 1.0× 11 0.1× 68 0.8× 24 0.4× 22 0.4× 12 397
Bruno Beaune France 11 51 0.4× 60 0.6× 74 0.9× 18 0.3× 168 3.1× 47 381
Robert T. Kell Canada 13 63 0.5× 110 1.1× 108 1.4× 6 0.1× 235 4.3× 13 593

Countries citing papers authored by Daniel J. Keefer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Keefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Keefer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Keefer. A scholar is included among the top collaborators of Daniel J. Keefer 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 J. Keefer. Daniel J. Keefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Keefer, Daniel J., et al.. (2013). Waist‐to‐Height Ratio and Body Mass Index as Indicators of Cardiovascular Risk in Youth. Journal of School Health. 83(11). 805–809. 12 indexed citations
2.
Verschuren, Olaf, Marjolijn Ketelaar, Daniel J. Keefer, et al.. (2011). Identification of a core set of exercise tests for children and adolescents with cerebral palsy: a Delphi survey of researchers and clinicians. Developmental Medicine & Child Neurology. 53(5). 449–456. 39 indexed citations
3.
Caputo, Jennifer L., et al.. (2010). Validity and Reliability of the BOD POD®S/T Tracking System. International Journal of Sports Medicine. 31(10). 704–708. 7 indexed citations
4.
Keefer, Daniel J., et al.. (2009). Electromyographic (EMG) Analysis of Quadriceps Muscle Fatigue in Children With Cerebral Palsy During a Sustained Isometric Contraction. Journal of Child Neurology. 25(3). 287–293. 21 indexed citations
5.
Caputo, Jennifer L., et al.. (2007). Determination of Validity and Reliability of the BOD POD® Self-Tracking Body Composition System. Medicine & Science in Sports & Exercise. 39(5). S371–S371. 1 indexed citations
6.
Keefer, Daniel J., et al.. (2004). Within- and between-day stability of treadmill walking VO2 in children with hemiplegic cerebral palsy. Gait & Posture. 22(3). 177–181. 3 indexed citations
7.
Keefer, Daniel J., et al.. (2004). Comparison of direct and indirect measures of walking energy expenditure in children with hemiplegic cerebral palsy. Developmental Medicine & Child Neurology. 46(5). 320–4. 25 indexed citations
8.
Keefer, Daniel J., et al.. (2004). Interrelationships among thigh muscle co-contraction, quadriceps muscle strength and the aerobic demand of walking in children with cerebral palsy.. PubMed. 44(2). 103–10. 7 indexed citations
9.
Caputo, Jennifer L., et al.. (2004). Longitudinal stratification of gait economy in young boys and girls: the locomotion energy and growth study. European Journal of Applied Physiology. 91(1). 30–34. 8 indexed citations
10.
Keefer, Daniel J., et al.. (2004). Within- and between-day stability of treadmill walking VO2 in children with hemiplegic cerebral palsy. Gait & Posture. 21(1). 80–84. 11 indexed citations
11.
Keefer, Daniel J., et al.. (2004). Comparison of direct and indirect measures of walking energy expenditure in children with hemiplegic cerebral palsy. Developmental Medicine & Child Neurology. 46(5). 320–324. 19 indexed citations
12.
Rutkowski, J., et al.. (2004). Assessment of RPE Signal Dominance at Slow to Moderate Walking Speeds in Children. Pediatric Exercise Science. 16(4). 334–342. 6 indexed citations
13.
Banz, William J., Margaret A. Maher, Warren G. Thompson, et al.. (2003). Effects of Resistance versus Aerobic Training on Coronary Artery Disease Risk Factors. Experimental Biology and Medicine. 228(4). 434–440. 130 indexed citations
14.
Morgan, Don W., et al.. (2002). Longitudinal profiles of oxygen uptake during treadmill walking in able-bodied children: the locomotion energy and growth study. Gait & Posture. 15(3). 230–235. 16 indexed citations
15.
Morgan, Don W., et al.. (2002). Prediction of the aerobic demand of walking in children. Medicine & Science in Sports & Exercise. 34(12). 2097–2102. 12 indexed citations
16.
Keefer, Daniel J., et al.. (2002). WITHIN-DAY STABILITY OF WALKING OXYGEN UPTAKE IN CHILDREN WITH CEREBRAL PALSY. Medicine & Science in Sports & Exercise. 34(5). S291–S291. 2 indexed citations
17.
Keefer, Daniel J., et al.. (2000). Stability of Running Economy in Young Children. International Journal of Sports Medicine. 21(8). 583–585. 5 indexed citations
18.
Caputo, Jennifer L., et al.. (2000). Metabolic accommodation of young children to treadmill walking. Gait & Posture. 12(2). 139–142. 17 indexed citations
19.
Morgan, Don W., et al.. (1999). Sex Differences in Running Economy of Young Children. Pediatric Exercise Science. 11(2). 122–128. 3 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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