Mark R. Holland

920 total citations
41 papers, 698 citations indexed

About

Mark R. Holland is a scholar working on Mechanics of Materials, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark R. Holland has authored 41 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanics of Materials, 19 papers in Biomedical Engineering and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark R. Holland's work include Ultrasonics and Acoustic Wave Propagation (21 papers), Ultrasound Imaging and Elastography (14 papers) and Cardiovascular Function and Risk Factors (8 papers). Mark R. Holland is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (21 papers), Ultrasound Imaging and Elastography (14 papers) and Cardiovascular Function and Risk Factors (8 papers). Mark R. Holland collaborates with scholars based in United States, France and Japan. Mark R. Holland's co-authors include James G. Miller, Gautam K. Singh, Philip T. Levy, Aaron Hamvas, Swati Choudhry, Meghna D. Patel, Joshua Murphy, Mark Grady, Lester J. Smith and Julio E. Pérez and has published in prestigious journals such as Physical review. B, Condensed matter, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Mark R. Holland

40 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark R. Holland United States 14 275 234 213 161 158 41 698
Jaap Lubbers Netherlands 13 387 1.4× 184 0.8× 413 1.9× 36 0.2× 181 1.1× 24 853
J. F. Greenleaf United States 11 582 2.1× 47 0.2× 562 2.6× 43 0.3× 35 0.2× 31 772
Jens Rump Germany 15 571 2.1× 93 0.4× 515 2.4× 113 0.7× 71 0.4× 34 863
Carolina Amador United States 16 555 2.0× 66 0.3× 512 2.4× 39 0.2× 88 0.6× 48 708
Cédric Schmitt Canada 13 458 1.7× 169 0.7× 436 2.0× 26 0.2× 113 0.7× 31 669
Alfredo Goddi Italy 11 226 0.8× 102 0.4× 170 0.8× 39 0.2× 119 0.8× 20 527
Hairong Shi United States 12 554 2.0× 170 0.7× 473 2.2× 48 0.3× 143 0.9× 16 719
Lin Yao China 7 439 1.6× 27 0.1× 350 1.6× 104 0.6× 134 0.8× 23 794
J G Miller United States 10 547 2.0× 216 0.9× 485 2.3× 49 0.3× 85 0.5× 13 815
Pierre Nauleau United States 11 195 0.7× 160 0.7× 153 0.7× 12 0.1× 60 0.4× 27 366

Countries citing papers authored by Mark R. Holland

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Holland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Holland. 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 Mark R. Holland. The network helps show where Mark R. Holland may publish in the future.

Co-authorship network of co-authors of Mark R. Holland

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Holland. A scholar is included among the top collaborators of Mark R. Holland 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 Mark R. Holland. Mark R. Holland 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.
Butch, Elizabeth R., Matthew Prideaux, Mark R. Holland, et al.. (2024). The ‘bIUreactor’: An Open-Source 3D Tissue Research Platform. Annals of Biomedical Engineering. 52(6). 1678–1692. 2 indexed citations
2.
Regan, S. P., et al.. (2022). CLIMBING UP THE WALLS: OROGEN-SCALE INVERTED BARROVIAN METAMORPHISM DURING OBLIQUE CONVERGENCE ALONG A REACTIVATED SUTURE ZONE, NORTHERN CORDILLERA. Abstracts with programs - Geological Society of America. 1 indexed citations
3.
4.
Smith, Lester J., Ping Li, Mark R. Holland, & Burcin Ekser. (2018). FABRICA: A Bioreactor Platform for Printing, Perfusing, Observing, & Stimulating 3D Tissues. PMC. 2 indexed citations
5.
Holland, Mark R., et al.. (2018). Neoteric authenticity: using urban magnets to create authenticity in new developments. VIURRSpace (Vancouver Island University). 1 indexed citations
6.
Cade, W. Todd, Philip T. Levy, Rachel A. Tinius, et al.. (2017). Markers of maternal and infant metabolism are associated with ventricular dysfunction in infants of obese women with type 2 diabetes. Pediatric Research. 82(5). 768–775. 25 indexed citations
7.
Levy, Philip T., Meghna D. Patel, Swati Choudhry, et al.. (2016). Pulmonary Artery Acceleration Time Provides a Reliable Estimate of Invasive Pulmonary Hemodynamics in Children. PMC. 3 indexed citations
8.
Levy, Philip T., Meghna D. Patel, Swati Choudhry, et al.. (2016). Pulmonary Artery Acceleration Time Provides a Reliable Estimate of Invasive Pulmonary Hemodynamics in Children. Journal of the American Society of Echocardiography. 29(11). 1056–1065. 138 indexed citations
9.
Sanchez, Aura A., Philip T. Levy, Timothy Sekarski, et al.. (2014). Markers of Cardiovascular Risk, Insulin Resistance, and Ventricular Dysfunction and Remodeling in Obese Adolescents. The Journal of Pediatrics. 166(3). 660–665. 19 indexed citations
10.
Johnson, B. Lamar, Mark R. Holland, James G. Miller, & J. I. Katz. (2013). Ultrasonic attenuation and speed of sound of cornstarch suspensions. The Journal of the Acoustical Society of America. 133(3). 1399–1403. 8 indexed citations
11.
Holland, Mark R., et al.. (2008). Interference between wave modes may contribute to the apparent negative dispersion observed in cancellous bone. The Journal of the Acoustical Society of America. 124(3). 1781–1789. 47 indexed citations
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13.
Baldwin, Steven L., et al.. (2005). Estimating myocardial attenuation from M-mode ultrasonic backscatter. Ultrasound in Medicine & Biology. 31(4). 477–484. 16 indexed citations
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Tamirisa, Praveen, Mark R. Holland, James G. Miller, & Julio E. Pérez. (2001). Ultrasonic Tissue Characterization: Review of an Approach to Assess Hypertrophic Myocardium. Echocardiography. 18(7). 593–597. 12 indexed citations
17.
Gussak, Hiie M., et al.. (2000). Cyclic Variation of Integrated Backscatter: Dependence of Time Delay on the Echocardiographic View Used and the Myocardial Segment Analyzed. Journal of the American Society of Echocardiography. 13(1). 9–17. 2 indexed citations
18.
Holland, Mark R., S.H. Lewis, Christopher S. Hall, et al.. (1998). Effects of Tissue Anisotropy on the Spectral Characteristics of Ultrasonic Backscatter Measured with a Clinical Imaging System. Ultrasonic Imaging. 20(3). 178–190. 9 indexed citations
19.
Holland, Mark R., et al.. (1997). Comparison of integrated backscatter values obtained with acoustic densitometry with values derived from spectral analysis of digitized signals from a clinical imaging system. Journal of the American Society of Echocardiography. 10(5). 511–517. 14 indexed citations
20.
Pérez, Julio E., David Prater, Alan D. Waggoner, et al.. (1992). Automated, on-line quantification of left ventricular dimensions and function by echocardiography with backscatter imaging and lateral gain compensation. The American Journal of Cardiology. 70(13). 1200–1205. 81 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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