Helga Van Herle

760 total citations
17 papers, 530 citations indexed

About

Helga Van Herle is a scholar working on Signal Processing, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Helga Van Herle has authored 17 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Economics and Econometrics and 5 papers in Artificial Intelligence. Recurrent topics in Helga Van Herle's work include Time Series Analysis and Forecasting (8 papers), Complex Systems and Time Series Analysis (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Helga Van Herle is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Complex Systems and Time Series Analysis (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Helga Van Herle collaborates with scholars based in United States, Hong Kong and Switzerland. Helga Van Herle's co-authors include Eamonn Keogh, Jessica Lin, Sang‐Hee Lee, A.W.-C. Fu, Mark W. Vaughn, Tae Hee Han, James C. Liao, Cuihua Zhang, Lih Kuo and Kuang‐Tse Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Journal of Medical Systems.

In The Last Decade

Helga Van Herle

15 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helga Van Herle United States 8 259 202 114 95 72 17 530
Jieting Wang China 12 294 1.1× 26 0.1× 34 0.3× 13 0.1× 42 0.6× 29 665
Weike Liu China 10 275 1.1× 47 0.2× 28 0.2× 66 0.7× 4 0.1× 31 434
Xiaoning Du China 10 257 1.0× 107 0.5× 12 0.1× 79 0.8× 6 0.1× 37 557
Xiaochen Xian United States 11 128 0.5× 37 0.2× 154 1.4× 39 0.4× 3 0.0× 33 512
Pooja Rani India 12 199 0.8× 32 0.2× 21 0.2× 48 0.5× 4 0.1× 32 497
Fufeng Li China 14 48 0.2× 44 0.2× 24 0.2× 12 0.1× 10 0.1× 80 640
Jing Zheng China 12 262 1.0× 38 0.2× 14 0.1× 22 0.2× 6 0.1× 36 606
Yuansheng Xu China 10 156 0.6× 22 0.1× 9 0.1× 55 0.6× 9 0.1× 16 375
Luis de la Ossa Spain 13 205 0.8× 17 0.1× 74 0.6× 28 0.3× 5 0.1× 35 637

Countries citing papers authored by Helga Van Herle

Since Specialization
Citations

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

Fields of papers citing papers by Helga Van Herle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helga Van Herle. 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 Helga Van Herle. The network helps show where Helga Van Herle may publish in the future.

Co-authorship network of co-authors of Helga Van Herle

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

All Works

17 of 17 papers shown
1.
Pham, Vu Hong Son, et al.. (2024). Accuracy and correlation of bed and standing scale weights in monitoring volume status in heart failure patients. Future Cardiology. 20(7-8). 389–393. 1 indexed citations
2.
Lee, Emily S., et al.. (2024). Purulent Bacterial Pericarditis. JACC Case Reports. 29(7). 102282–102282.
3.
Singhal, Preeti, et al.. (2022). IMPROVING UTILIZATION OF SGLT2 INHIBITORS VIA EDUCATION AT A SINGLE-CENTER ACADEMIC SAFETY-NET HOSPITAL. Journal of the American College of Cardiology. 79(9). 1540–1540. 2 indexed citations
4.
Ahmed, Mustafa M., et al.. (2021). Cardiovascular Disease Fellowship Interviews 2021. Journal of the American College of Cardiology. 78(10). 1078–1081. 2 indexed citations
5.
Singhal, Preeti, et al.. (2021). CLINICAL PRACTICE PATTERNS AND ATTITUDES ABOUT PRESCRIBING SGLT2 INHIBITORS AT A SINGLE-CENTER ACADEMIC SAFETY-NET HOSPITAL. Journal of the American College of Cardiology. 77(18). 1543–1543. 3 indexed citations
6.
Wu, Stephanie, et al.. (2018). A Case of Myocarditis and Near-Lethal Arrhythmia Associated With Interleukin-2 Therapy. Journal of Investigative Medicine High Impact Case Reports. 6. 2734214774–2734214774. 2 indexed citations
7.
Fong, Tse–Ling, Michael Fong, Jerold S. Shinbane, Vaughn A. Starnes, & Helga Van Herle. (2018). Late onset cardiac cirrhosis and portal hypertensive ascites after atrial fibrillation ablation. Pulmonary Circulation. 9(1). 1–3.
8.
Yeh, Chin‐Chia Michael, Helga Van Herle, & Eamonn Keogh. (2016). Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. 579–588. 16 indexed citations
9.
Kozat, Süleyman S., Michail Vlachos, Claudio Lucchese, Helga Van Herle, & Philip S. Yu. (2008). Embedding and Retrieving Private Metadata in Electrocardiograms. Journal of Medical Systems. 33(4). 241–259. 20 indexed citations
10.
Keogh, Eamonn, Jessica Lin, A.W.-C. Fu, & Helga Van Herle. (2006). Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Transactions on Information Technology in Biomedicine. 10(3). 429–439. 48 indexed citations
11.
Li, Wei, Eamonn Keogh, Helga Van Herle, Agenor Mafra‐Neto, & Russell J. Abbott. (2006). Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers. Knowledge and Information Systems. 11(3). 313–344. 5 indexed citations
12.
Keogh, Eamonn, Jessica Lin, Sang‐Hee Lee, & Helga Van Herle. (2006). Finding the most unusual time series subsequence: algorithms and applications. Knowledge and Information Systems. 11(1). 1–27. 147 indexed citations
13.
Li, Wei, Eamonn Keogh, Helga Van Herle, & Agenor Mafra‐Neto. (2006). Atomic Wedgie: Efficient Query Filtering for Streaming Times Series. 490–497. 37 indexed citations
14.
Lin, Jessica, Eamonn Keogh, A.W.-C. Fu, & Helga Van Herle. (2005). Approximations to Magic: Finding Unusual Medical Time Series. 329–334. 91 indexed citations
15.
Li, Wei, et al.. (2005). A Practical Tool for Visualizing and Data Mining Medical Time Series. 16. 341–346. 9 indexed citations
16.
Keogh, Eamonn, Jessica Lin, Ada W. C. Fu, & Helga Van Herle. (2005). Finding the Unusual Medical Time Series: Algorithms and Applications. 5 indexed citations
17.
Huang, Kuang‐Tse, Tae Hee Han, Daniel R. Hyduke, et al.. (2001). Modulation of nitric oxide bioavailability by erythrocytes. Proceedings of the National Academy of Sciences. 98(20). 11771–11776. 142 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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