Grant H. Kruger

1.1k total citations
41 papers, 771 citations indexed

About

Grant H. Kruger is a scholar working on Surgery, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Grant H. Kruger has authored 41 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Mechanical Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Grant H. Kruger's work include Advanced Welding Techniques Analysis (9 papers), Aluminum Alloys Composites Properties (6 papers) and Metal Forming Simulation Techniques (5 papers). Grant H. Kruger is often cited by papers focused on Advanced Welding Techniques Analysis (9 papers), Aluminum Alloys Composites Properties (6 papers) and Metal Forming Simulation Techniques (5 papers). Grant H. Kruger collaborates with scholars based in United States, Germany and South Africa. Grant H. Kruger's co-authors include Albert J. Shih, Sören L. Becker, Torben K. Becker, Omer Berenfeld, Hakan Oral, Dongsuk Jeon, Dennis Sylvester, David Blaauw, Zhengya Zhang and Zhiyoong Foo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pain.

In The Last Decade

Grant H. Kruger

39 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grant H. Kruger United States 16 228 157 153 124 116 41 771
Hui‐Hsun Huang Taiwan 13 115 0.5× 190 1.2× 36 0.2× 45 0.4× 114 1.0× 50 504
Christian Stöcker Germany 19 139 0.6× 189 1.2× 80 0.5× 156 1.3× 156 1.3× 66 1.1k
Kazuhiro Taniguchi Japan 17 179 0.8× 501 3.2× 39 0.3× 32 0.3× 373 3.2× 127 1.0k
D. G. Mason United Kingdom 23 716 3.1× 379 2.4× 227 1.5× 23 0.2× 706 6.1× 83 1.7k
Tatsunori Taniguchi Japan 13 118 0.5× 216 1.4× 56 0.4× 15 0.1× 72 0.6× 57 593
Faezeh Marzbanrad Australia 17 324 1.4× 246 1.6× 78 0.5× 27 0.2× 35 0.3× 63 854
Per Ask Sweden 21 346 1.5× 446 2.8× 54 0.4× 19 0.2× 193 1.7× 62 1.1k
Donna Meyer United States 17 88 0.4× 442 2.8× 37 0.2× 95 0.8× 146 1.3× 60 868
Berno J.E. Misgeld Germany 14 452 2.0× 60 0.4× 61 0.4× 65 0.5× 75 0.6× 86 693
Christoph Hoog Antink Germany 18 644 2.8× 498 3.2× 103 0.7× 17 0.1× 283 2.4× 94 1.1k

Countries citing papers authored by Grant H. Kruger

Since Specialization
Citations

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

Fields of papers citing papers by Grant H. Kruger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant H. Kruger. 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 Grant H. Kruger. The network helps show where Grant H. Kruger may publish in the future.

Co-authorship network of co-authors of Grant H. Kruger

This figure shows the co-authorship network connecting the top 25 collaborators of Grant H. Kruger. A scholar is included among the top collaborators of Grant H. Kruger 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 Grant H. Kruger. Grant H. Kruger 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.
2.
Harte, Steven E., Ying Wang, Abigail R. Smith, et al.. (2021). Experimental Pain and Auditory Sensitivity in Overactive Bladder Syndrome: A Symptoms of the Lower Urinary Tract Dysfunction Research Network (LURN) Study. The Journal of Urology. 207(1). 161–171. 4 indexed citations
3.
Harte, Steven E., Andrew Schrepf, Robert Gallop, et al.. (2019). Quantitative assessment of nonpelvic pressure pain sensitivity in urologic chronic pelvic pain syndrome: a MAPP Research Network study. Pain. 160(6). 1270–1280. 28 indexed citations
4.
Harper, Daniel, et al.. (2018). Applications of sensory and physiological measurement in oral‐facial dental pain. Special Care in Dentistry. 38(6). 395–404. 13 indexed citations
5.
Treister, Roi, Oluwadolapo D. Lawal, J. Bothmer, et al.. (2018). Accurate pain reporting training diminishes the placebo response: Results from a randomised, double-blind, crossover trial. PLoS ONE. 13(5). e0197844–e0197844. 37 indexed citations
6.
Kruger, Grant H., Amy Shanks, Sachin Kheterpal, et al.. (2017). Influence of non-invasive blood pressure measurement intervals on the occurrence of intra-operative hypotension. Journal of Clinical Monitoring and Computing. 32(4). 699–705. 5 indexed citations
7.
Kruger, Grant H., et al.. (2016). Design and Testing of a Single-Element Ultrasound Viscoelastography System for Point-of-Care Edema Quantification. Ultrasound in Medicine & Biology. 42(9). 2209–2219. 2 indexed citations
8.
Weitzel, William F., James Hamilton, Joseph L. Bull, et al.. (2015). Quantitative Lung Ultrasound Comet Measurement: Method and Initial Clinical Results. Blood Purification. 39(1-3). 37–44. 30 indexed citations
9.
Harte, Steven E., et al.. (2013). Development and validation of a pressure-type automated quantitative sensory testing system for point-of-care pain assessment. Medical & Biological Engineering & Computing. 51(6). 633–644. 27 indexed citations
10.
Park, Dae Woo, Grant H. Kruger, Jonathan M. Rubin, et al.. (2013). Quantification of Ultrasound Correlation‐Based Flow Velocity Mapping and Edge Velocity Gradient Measurement. Journal of Ultrasound in Medicine. 32(10). 1815–1830. 14 indexed citations
11.
Park, Dae Woo, Grant H. Kruger, Jonathan M. Rubin, et al.. (2012). In Vivo Vascular Wall Shear Rate and Circumferential Strain of Renal Disease Patients. Ultrasound in Medicine & Biology. 39(2). 241–252. 12 indexed citations
12.
Kruger, Grant H., et al.. (2012). Novel method and device for viscoelastic tissue characterization of edema. 2368–2371. 1 indexed citations
13.
Kruger, Grant H., Chao Chen, James M. Blum, Albert J. Shih, & Kevin K. Tremper. (2011). Reactive Software Agent Anesthesia Decision Support System. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Cheng, Xingguo, et al.. (2011). An electronically-scanned CMUT-in-CMOS transducer for hemodialysis vascular access monitoring. 2193–2196. 1 indexed citations
15.
Kruger, Grant H. & Kevin K. Tremper. (2011). Advanced Integrated Real-Time Clinical Displays. Anesthesiology Clinics. 29(3). 487–504. 20 indexed citations
16.
Park, Dae Woo, Michael S. Richards, Jonathan M. Rubin, et al.. (2010). Arterial elasticity imaging: comparison of finite-element analysis models with high-resolution ultrasound speckle tracking. Cardiovascular Ultrasound. 8(1). 22–22. 13 indexed citations
17.
Kruger, Grant H., et al.. (2010). Computational Modeling and Prototyping of a Pediatric Airway Management Instrument. Anesthesia & Analgesia. 111(3). 649–652. 4 indexed citations
18.
Miller, Scott F., et al.. (2008). Experimental study of joint performance in spot friction welding of 6111-T4 aluminium alloy. Science and Technology of Welding & Joining. 13(7). 629–637. 47 indexed citations
19.
Hattingh, D.G., et al.. (2004). Analysis of the FSW Force Footprint and its Relationship with Process Parameters to Optimise Weld Performance and Tool Design. Welding in the World. 48(1-2). 50–58. 22 indexed citations
20.
Kruger, Grant H.. (2003). Intelligent monitoring and control system for a friction stir welding process.

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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