Alvina Goh

1.1k total citations
16 papers, 723 citations indexed

About

Alvina Goh is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Geometry and Topology. According to data from OpenAlex, Alvina Goh has authored 16 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Geometry and Topology. Recurrent topics in Alvina Goh's work include Advanced Neuroimaging Techniques and Applications (7 papers), Morphological variations and asymmetry (5 papers) and MRI in cancer diagnosis (4 papers). Alvina Goh is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), Morphological variations and asymmetry (5 papers) and MRI in cancer diagnosis (4 papers). Alvina Goh collaborates with scholars based in Singapore, United States and France. Alvina Goh's co-authors include Renè Vidal, Christophe Lenglet, Paul M. Thompson, Marco Reisert, Pierre Fillard, Jean‐François Mangin, Sylvain Gouttard, Ben Jeurissen, Maxime Descoteaux and Alonso Ramírez-Manzanares and has published in prestigious journals such as NeuroImage, Human Brain Mapping and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Alvina Goh

16 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alvina Goh Singapore	10	397	215	135	106	95	16	723
Dinggang Shen United States	14	490 1.2×	576 2.7×	207 1.5×	189 1.8×	85 0.9×	27	1.2k
Brent C. Munsell United States	16	365 0.9×	391 1.8×	375 2.8×	216 2.0×	109 1.1×	31	1.2k
Tammy Riklin Raviv Israel	18	225 0.6×	803 3.7×	78 0.6×	155 1.5×	39 0.4×	44	1.2k
Matthieu Jomier United States	8	351 0.9×	374 1.7×	120 0.9×	49 0.5×	114 1.2×	11	763
Isabelle Corouge France	13	621 1.6×	169 0.8×	233 1.7×	25 0.2×	241 2.5×	30	858
Vassili Kovalev Belarus	15	264 0.7×	339 1.6×	108 0.8×	186 1.8×	19 0.2×	59	830
Hui Xue China	15	348 0.9×	279 1.3×	83 0.6×	228 2.2×	322 3.4×	41	911
Kirt Schaper United States	13	651 1.6×	739 3.4×	332 2.5×	94 0.9×	78 0.8×	19	1.5k
Bilge Karaçalı United States	16	233 0.6×	387 1.8×	153 1.1×	188 1.8×	20 0.2×	58	888

Countries citing papers authored by Alvina Goh

Since Specialization

Citations

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

Fields of papers citing papers by Alvina Goh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvina Goh

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

All Works

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16 of 16 papers shown

Li, Lu, et al.. (2022). Classifying Multimodal Data Using Transformers. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4780–4781. 2 indexed citations

Velasco-Forero, Santiago, Marcus Y. Chen, Alvina Goh, & Sze Kim Pang. (2015). Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images. IEEE Journal of Selected Topics in Signal Processing. 9(6). 1061–1073. 11 indexed citations

Chen, Nancy F., Chongjia Ni, I‐Ming Chen, et al.. (2015). Low-resource keyword search strategies for tamil. 5366–5370. 33 indexed citations

Velasco-Forero, Santiago, et al.. (2014). A comparative analysis of covariance matrix estimation in anomaly detection. 14. 1–4. 1 indexed citations

Du, Jia Tina, et al.. (2013). Geodesic regression on orientation distribution functions with its application to an aging study. NeuroImage. 87. 416–426. 13 indexed citations

Goh, Alvina, et al.. (2012). Evolution of hippocampal shapes across the human lifespan. Human Brain Mapping. 34(11). 3075–3085. 36 indexed citations

Chen, Marcus Y., Sze Kim Pang, Tat‐Jen Cham, & Alvina Goh. (2011). Visual tracking with generative template model based on Riemannian manifold of covariances. National University of Singapore. 1–8. 9 indexed citations

Goh, Alvina, et al.. (2011). Locally Linear Diffeomorphic Metric Embedding (LLDME) for surface-based anatomical shape modeling. NeuroImage. 56(1). 149–161. 9 indexed citations

Du, Jia Tina, Alvina Goh, & Anqi Qiu. (2011). Large Deformation Diffeomorphic Metric Mapping of Orientation Distribution Functions. Lecture notes in computer science. 22. 448–462. 9 indexed citations

10.

Goh, Alvina, Christophe Lenglet, Paul M. Thompson, & Renè Vidal. (2011). A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry. NeuroImage. 56(3). 1181–1201. 38 indexed citations

11.

Goh, Alvina, et al.. (2011). Approximations of the Diffeomorphic Metric and Their Applications in Shape Learning. Lecture notes in computer science. 22. 257–270. 3 indexed citations

12.

Fillard, Pierre, Maxime Descoteaux, Alvina Goh, et al.. (2011). Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom. NeuroImage. 56(1). 220–234. 291 indexed citations

13.

Goh, Alvina, Christophe Lenglet, Paul M. Thompson, & Renè Vidal. (2009). Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity. Lecture notes in computer science. 12(Pt 1). 877–885. 44 indexed citations

14.

Goh, Alvina, Christophe Lenglet, Paul M. Thompson, & Renè Vidal. (2009). A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI). 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2496–2503. 17 indexed citations

15.

Goh, Alvina & Renè Vidal. (2008). Clustering and dimensionality reduction on Riemannian manifolds. 1–7. 70 indexed citations

16.

Goh, Alvina & Renè Vidal. (2007). Segmenting Motions of Different Types by Unsupervised Manifold Clustering. 1–6. 137 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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