Rudolph Pienaar

1.8k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Rudolph Pienaar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Rudolph Pienaar has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pediatrics, Perinatology and Child Health and 8 papers in Cognitive Neuroscience. Recurrent topics in Rudolph Pienaar's work include Advanced Neuroimaging Techniques and Applications (16 papers), Neonatal and fetal brain pathology (8 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Rudolph Pienaar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (16 papers), Neonatal and fetal brain pathology (8 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Rudolph Pienaar collaborates with scholars based in United States, Switzerland and France. Rudolph Pienaar's co-authors include P. Ellen Grant, Neel Madan, Leila Cammoun, Van J. Wedeen, Patric Hagmann, Reto Meuli, Jean‐Philippe Thiran, Olaf Sporns, Nikos Makris and Bruce Fischl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Cerebral Cortex.

In The Last Decade

Rudolph Pienaar

30 papers receiving 1.3k citations

Hit Papers

White matter maturation r... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rudolph Pienaar United States 16 751 683 338 103 90 31 1.3k
Olivier Coulon France 23 665 0.9× 802 1.2× 129 0.4× 106 1.0× 140 1.6× 70 1.5k
Bagrat Amirbekian United States 9 1.1k 1.4× 476 0.7× 210 0.6× 101 1.0× 38 0.4× 12 1.4k
Anne‐Marie van Cappellen van Walsum Netherlands 18 421 0.6× 444 0.7× 119 0.4× 96 0.9× 107 1.2× 30 1.1k
Birkan Tunç United States 15 800 1.1× 632 0.9× 154 0.5× 224 2.2× 103 1.1× 48 1.5k
Eleftherios Garyfallidis United States 19 1.7k 2.3× 724 1.1× 449 1.3× 105 1.0× 74 0.8× 44 2.2k
Daniel Güllmar Germany 21 730 1.0× 596 0.9× 133 0.4× 165 1.6× 33 0.4× 69 1.5k
Evan Calabrese United States 21 1.0k 1.3× 500 0.7× 199 0.6× 54 0.5× 101 1.1× 60 1.8k
Vitria Adisetiyo United States 11 734 1.0× 527 0.8× 166 0.5× 234 2.3× 289 3.2× 20 1.4k
Jonathan A.D. Farrell United States 17 1.3k 1.8× 269 0.4× 214 0.6× 136 1.3× 82 0.9× 18 1.6k
Nicolás Lori Portugal 10 1.7k 2.3× 658 1.0× 541 1.6× 190 1.8× 41 0.5× 28 2.1k

Countries citing papers authored by Rudolph Pienaar

Since Specialization
Citations

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

Fields of papers citing papers by Rudolph Pienaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudolph Pienaar. 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 Rudolph Pienaar. The network helps show where Rudolph Pienaar may publish in the future.

Co-authorship network of co-authors of Rudolph Pienaar

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolph Pienaar. A scholar is included among the top collaborators of Rudolph Pienaar 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 Rudolph Pienaar. Rudolph Pienaar 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.
Ahtam, Banu, Hyuk Jin Yun, Rudolph Pienaar, et al.. (2023). Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex. Journal of Autism and Developmental Disorders. 54(8). 3155–3175. 1 indexed citations
2.
He, Sheng, Randy L. Gollub, Shawn N. Murphy, et al.. (2021). Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan. Medical Image Analysis. 72. 102091–102091. 49 indexed citations
3.
He, Sheng, Randy L. Gollub, Shawn N. Murphy, et al.. (2020). Brain Age Estimation Using LSTM on Children's Brain MRI. PubMed. 2020. 1–4. 7 indexed citations
4.
Bernal-Rusiel, Jorge L., Randy L. Gollub, Steve Pieper, et al.. (2017). Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization. Frontiers in Neuroinformatics. 11. 32–32. 11 indexed citations
5.
Ou, Yangming, Randy L. Gollub, Rudolph Pienaar, et al.. (2015). Brain extraction in pediatric ADC maps, toward characterizing neuro-development in multi-platform and multi-institution clinical images. NeuroImage. 122. 246–261. 13 indexed citations
7.
Baumer, Fiona M., Jae W. Song, Rudolph Pienaar, et al.. (2015). Longitudinal Changes in Diffusion Properties in White Matter Pathways of Children With Tuberous Sclerosis Complex. Pediatric Neurology. 52(6). 615–623. 16 indexed citations
8.
Ou, Yangming, Randy L. Gollub, Rudolph Pienaar, et al.. (2014). Developmental brain ADC atlas creation from clinical images. 5. 3 indexed citations
9.
Gerhard, Stephan, et al.. (2012). Real-time volume rendering and tractography visualization on the web. El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT). 20(2). 81–88. 4 indexed citations
10.
11.
Ortiz‐Mantilla, Silvia, Nikos Makris, Matthew Gregas, et al.. (2012). Regional Infant Brain Development: An MRI-Based Morphometric Analysis in 3 to 13 Month Olds. Cerebral Cortex. 23(9). 2100–2117. 67 indexed citations
12.
Im, Kiho, Rudolph Pienaar, Michael J. Paldino, et al.. (2012). Quantification and Discrimination of Abnormal Sulcal Patterns in Polymicrogyria. Cerebral Cortex. 23(12). 3007–3015. 33 indexed citations
13.
Healy, Brian C., et al.. (2012). Diffusion Tensor Analysis of Pediatric Multiple Sclerosis and Clinically Isolated Syndromes. American Journal of Neuroradiology. 34(2). 417–423. 28 indexed citations
14.
Ronan, Lisa, Rudolph Pienaar, Guy Williams, et al.. (2011). INTRINSIC CURVATURE: A MARKER OF MILLIMETER-SCALE TANGENTIAL CORTICO-CORTICAL CONNECTIVITY?. International Journal of Neural Systems. 21(5). 351–366. 52 indexed citations
15.
Im, Kiho, Rudolph Pienaar, Jong‐Min Lee, et al.. (2011). Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study. NeuroImage. 57(3). 1077–1086. 53 indexed citations
16.
Dehaes, Mathieu, P. Ellen Grant, Danielle D. Sliva, et al.. (2011). Assessment of the frequency-domain multi-distance method to evaluate the brain optical properties: Monte Carlo simulations from neonate to adult. Biomedical Optics Express. 2(3). 552–552. 69 indexed citations
17.
Chitnis, Tanuja, et al.. (2009). Tract-Based Analysis of Callosal, Projection, and Association Pathways in Pediatric Patients with Multiple Sclerosis: A Preliminary Study. American Journal of Neuroradiology. 31(1). 121–128. 52 indexed citations
18.
Yu, Peng, P. Ellen Grant, Yuan Qi, et al.. (2007). Cortical Surface Shape Analysis Based on Spherical Wavelets. IEEE Transactions on Medical Imaging. 26(4). 582–597. 75 indexed citations
19.
Yu, Peng, Xiao Han, Florent Ségonne, et al.. (2006). Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation. PubMed. 55. 60–60. 6 indexed citations
20.
Pienaar, Rudolph, et al.. (2002). An egocentric approach to machine intelligence. 9. 273–280. 1 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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