S. Ahn

609 total citations
12 papers, 410 citations indexed

About

S. Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Global and Planetary Change and Biomedical Engineering. According to data from OpenAlex, S. Ahn has authored 12 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Global and Planetary Change and 3 papers in Biomedical Engineering. Recurrent topics in S. Ahn's work include Medical Imaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers) and Climate variability and models (3 papers). S. Ahn is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers) and Climate variability and models (3 papers). S. Ahn collaborates with scholars based in United States, South Korea and Ethiopia. S. Ahn's co-authors include Jeffrey A. Fessler, Charles E. Lawrence, L. E. Lisiecki, Deborah Khider, Soo Mee Kim, Jae Sung Lee, Dong Soo Lee, Kiwan Jeon, Hyung Joong Kim and Eung Je Woo and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

S. Ahn

10 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Ahn United States	7	291	141	81	70	43	12	410
Guillaume Bal United States	13	299 1.0×	166 1.2×	72 0.9×	23 0.3×	18 0.4×	30	520
Uwe Krämer Germany	8	105 0.4×	98 0.7×	74 0.9×	61 0.9×	10 0.2×	17	471
Gianluca De Lorenzo Spain	11	107 0.4×	63 0.4×	148 1.8×	79 1.1×	3 0.1×	14	422
R. D. Hanna United States	13	48 0.2×	68 0.5×	40 0.5×	40 0.6×	5 0.1×	34	695
An De Hauwere Belgium	7	186 0.6×	115 0.8×	25 0.3×	48 0.7×	2 0.0×	11	332
Anatoli G. Borovoi Russia	18	27 0.1×	92 0.7×	9 0.1×	415 5.9×	39 0.9×	78	730
T. W. Henry United States	8	36 0.1×	47 0.3×	72 0.9×	23 0.3×	21 0.5×	21	222
M. Walter Germany	13	110 0.4×	150 1.1×	282 3.5×	32 0.5×	3 0.1×	19	499
A Thomas United States	10	64 0.2×	40 0.3×	92 1.1×	26 0.4×	250 5.8×	32	405
R. L. Kirk United States	8	31 0.1×	29 0.2×	20 0.2×	66 0.9×	4 0.1×	40	388

Countries citing papers authored by S. Ahn

Since Specialization

Citations

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

Fields of papers citing papers by S. Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ahn

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

All Works

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12 of 12 papers shown

Ahn, S., et al.. (2020). 3:27 PM Abstract No. 55 Predicting mortality following transjugular intrahepatic portosystemic shunt: a machine learning approach. Journal of Vascular and Interventional Radiology. 31(3). S28–S28.

Ahn, S., Baylor Fox‐Kemper, Timothy D. Herbert, Mark A. Altabet, & Charles E. Lawrence. (2019). Autoregressive Statistical Modeling of a Peru Margin Multi-proxy Holocene Record Shows Correlation Not Causation, Flickering Regimes and Persistence. Journal of Statistical Physics. 179(5-6). 1553–1571.

McCarthy, Siobhán, et al.. (2019). 03:09 PM Abstract No. 374 Machine learning can predict iatrogenic pneumothorax following lung biopsy. Journal of Vascular and Interventional Radiology. 30(3). S165–S165. 2 indexed citations

Ahn, S., Baylor Fox‐Kemper, Timothy D. Herbert, & Charles E. Lawrence. (2018). Autoregressive Statistical Modeling of a Peru Margin Multi-Proxy Holocene Record Shows Correlation Not Causation, Flickering Regimes and Persistence. Biogeosciences (European Geosciences Union). 1 indexed citations

Khider, Deborah, S. Ahn, L. E. Lisiecki, Charles E. Lawrence, & Markus Kienast. (2017). The Role of Uncertainty in Estimating Lead/Lag Relationships in Marine Sedimentary Archives: A Case Study From the Tropical Pacific. Paleoceanography. 32(11). 1275–1290. 10 indexed citations

Ahn, S., Deborah Khider, L. E. Lisiecki, & Charles E. Lawrence. (2017). A probabilistic Pliocene–Pleistocene stack of benthic δ18O using a profile hidden Markov model. 2(1). 65 indexed citations

Naeem, Muhammad, et al.. (2015). Paget-Schroetter syndrome: A review and Algorithm (WASPS-IR). Phlebology The Journal of Venous Disease. 30(10). 675–686. 11 indexed citations

Ahn, S., et al.. (2012). Gap compensation during PET image reconstruction by constrained, total variation minimization. Medical Physics. 39(2). 589–602. 27 indexed citations

Jeon, Kiwan, et al.. (2011). Ramp-Preserving Denoising for Conductivity Image Reconstruction in Magnetic Resonance Electrical Impedance Tomography. IEEE Transactions on Biomedical Engineering. 58(7). 2038–2050. 18 indexed citations

10.

Ahn, S., et al.. (2009). Denoising of B z Data for Conductivity Reconstruction in Magnetic Resonance Electrical Impedance Tomography(MREIT). 77–80. 3 indexed citations

11.

Ahn, S. & Jeffrey A. Fessler. (2004). Emission Image Reconstruction for Randoms-Precorrected PET Allowing Negative Sinogram Values. IEEE Transactions on Medical Imaging. 23(5). 591–601. 22 indexed citations

12.

Ahn, S. & Jeffrey A. Fessler. (2003). Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms. IEEE Transactions on Medical Imaging. 22(5). 613–626. 251 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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