Daniel L. Miranda

725 total citations
17 papers, 537 citations indexed

About

Daniel L. Miranda is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Surgery. According to data from OpenAlex, Daniel L. Miranda has authored 17 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Orthopedics and Sports Medicine and 7 papers in Surgery. Recurrent topics in Daniel L. Miranda's work include Lower Extremity Biomechanics and Pathologies (7 papers), Knee injuries and reconstruction techniques (5 papers) and Total Knee Arthroplasty Outcomes (4 papers). Daniel L. Miranda is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (7 papers), Knee injuries and reconstruction techniques (5 papers) and Total Knee Arthroplasty Outcomes (4 papers). Daniel L. Miranda collaborates with scholars based in United States, Australia and Hong Kong. Daniel L. Miranda's co-authors include Braden C. Fleming, Joseph J. Crisco, Michael J. Rainbow, Jason T. Machan, Alison M. Biercevicz, Martha M. Murray, Joel Schwartz, Evan L. Leventhal, Elizabeth Brainerd and Gary J. Badger and has published in prestigious journals such as Medicine & Science in Sports & Exercise, The American Journal of Sports Medicine and Journal of Biomechanics.

In The Last Decade

Daniel L. Miranda

17 papers receiving 532 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 L. Miranda United States 9 349 246 219 43 35 17 537
Penny R. Atkins United States 14 368 1.1× 214 0.9× 147 0.7× 37 0.9× 30 0.9× 43 560
Pascal Schütz Switzerland 16 459 1.3× 299 1.2× 155 0.7× 32 0.7× 16 0.5× 41 669
Bryce A. Killen Belgium 16 350 1.0× 441 1.8× 186 0.8× 24 0.6× 46 1.3× 32 628
Mark Lenhoff United States 12 356 1.0× 250 1.0× 196 0.9× 92 2.1× 38 1.1× 22 609
Niccolo M. Fiorentino United States 17 329 0.9× 395 1.6× 398 1.8× 61 1.4× 14 0.4× 30 734
Massoud Akbarshahi Australia 6 257 0.7× 313 1.3× 135 0.6× 36 0.8× 18 0.5× 7 449
Gustavo Leporace Brazil 12 288 0.8× 211 0.9× 246 1.1× 23 0.5× 16 0.5× 55 519
Jérôme Hausselle United States 9 231 0.7× 158 0.6× 62 0.3× 24 0.6× 35 1.0× 23 390
Patric Eichelberger Switzerland 13 174 0.5× 132 0.5× 154 0.7× 49 1.1× 21 0.6× 42 472
Bhushan Borotikar France 13 431 1.2× 308 1.3× 385 1.8× 14 0.3× 43 1.2× 41 719

Countries citing papers authored by Daniel L. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Miranda

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

All Works

17 of 17 papers shown
2.
Gonçalves-Pereira, João, Antero Fernandes, Andriy Krystopchuk, et al.. (2024). Epidemiology and Burden of Ventilator-Associated Pneumonia among Adult Intensive Care Unit Patients: A Portuguese, Multicenter, Retrospective Study (eVAP-PT Study). Antibiotics. 13(4). 290–290. 8 indexed citations
3.
Miranda, Daniel L., et al.. (2017). Three-dimensional kinematics of the equine metacarpophalangeal joint using x-ray reconstruction of moving morphology – a pilot study. Veterinary and Comparative Orthopaedics and Traumatology. 30(4). 1–8. 2 indexed citations
4.
Kang, Jiyeon, Hao Su, Paul Stegall, et al.. (2017). Design and preliminary evaluation of a multi-robotic system with pelvic and hip assistance for pediatric gait rehabilitation. PubMed. 2017. 332–339. 5 indexed citations
5.
Miranda, Daniel L., et al.. (2016). A pediatric animal model to evaluate the effects of disuse on musculoskeletal growth and development. Journal of Biomechanics. 49(14). 3549–3554. 1 indexed citations
6.
Hsu, Wen‐Hao, et al.. (2016). Toddlers actively reorganize their whole body coordination to maintain walking stability while carrying an object. Gait & Posture. 50. 75–81. 3 indexed citations
7.
Miranda, Daniel L., et al.. (2016). Sensory enhancing insoles improve athletic performance during a hexagonal agility task. Journal of Biomechanics. 49(7). 1058–1063. 23 indexed citations
8.
Miranda, Daniel L., et al.. (2015). Sensory Enhancing Insoles Modify Gait during Inclined Treadmill Walking with Load. Medicine & Science in Sports & Exercise. 48(5). 860–868. 12 indexed citations
9.
Hsu, Wen‐Hao, et al.. (2014). Developmental Changes in Coordination of Infant Arm and Leg Movements and the Emergence of Function. Journal of Motor Learning and Development. 2(4). 69–79. 1 indexed citations
10.
Miranda, Daniel L., Paul D. Fadale, Michael J. Hulstyn, et al.. (2013). Knee Biomechanics during a Jump-Cut Maneuver. Medicine & Science in Sports & Exercise. 45(5). 942–951. 38 indexed citations
11.
Rainbow, Michael J., Daniel L. Miranda, Roy T.H. Cheung, et al.. (2013). Automatic determination of an anatomical coordinate system for a three-dimensional model of the human patella. Journal of Biomechanics. 46(12). 2093–2096. 15 indexed citations
12.
Biercevicz, Alison M., Daniel L. Miranda, Jason T. Machan, Martha M. Murray, & Braden C. Fleming. (2013). In Situ, Noninvasive, T2*-Weighted MRI-Derived Parameters Predict Ex Vivo Structural Properties of an Anterior Cruciate Ligament Reconstruction or Bioenhanced Primary Repair in a Porcine Model. The American Journal of Sports Medicine. 41(3). 560–566. 101 indexed citations
13.
Miranda, Daniel L., et al.. (2013). Effects of ACL reconstruction surgery on muscle activity of the lower limb during a jump‐cut maneuver in males and females. Journal of Orthopaedic Research®. 31(12). 1890–1896. 27 indexed citations
14.
Rainbow, Michael J., Daniel L. Miranda, Roy T.H. Cheung, Braden C. Fleming, & Irene S. Davis. (2013). Patellofemoral kinematics during a jump-cut maneuver. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1 indexed citations
15.
Miranda, Daniel L., Michael J. Rainbow, Joseph J. Crisco, & Braden C. Fleming. (2012). Kinematic differences between optical motion capture and biplanar videoradiography during a jump–cut maneuver. Journal of Biomechanics. 46(3). 567–573. 109 indexed citations
16.
Miranda, Daniel L., et al.. (2011). Static and Dynamic Error of a Biplanar Videoradiography System Using Marker-Based and Markerless Tracking Techniques. Journal of Biomechanical Engineering. 133(12). 121002–121002. 100 indexed citations
17.
Miranda, Daniel L., Michael J. Rainbow, Evan L. Leventhal, Joseph J. Crisco, & Braden C. Fleming. (2010). Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee. Journal of Biomechanics. 43(8). 1623–1626. 90 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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