Juerg Tschirren

2.8k total citations
32 papers, 1.3k citations indexed

About

Juerg Tschirren is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Juerg Tschirren has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juerg Tschirren's work include Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers), Medical Image Segmentation Techniques (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). Juerg Tschirren is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers), Medical Image Segmentation Techniques (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). Juerg Tschirren collaborates with scholars based in United States, United Kingdom and New Zealand. Juerg Tschirren's co-authors include Eric A. Hoffman, Milan Sonka, Geoffrey McLennan, Kálmán Palágyi, Joseph M. Reinhardt, Peter Hunter, Merryn H. Tawhai, G. McLennan, Brett A. Simon and Hidenori Shikata and has published in prestigious journals such as JAMA, Radiology and The FASEB Journal.

In The Last Decade

Juerg Tschirren

31 papers receiving 1.3k citations

Peers

Juerg Tschirren
Junfeng Guo United States
Juerg Tschirren
Citations per year, relative to Juerg Tschirren Juerg Tschirren (= 1×) peers Junfeng Guo

Countries citing papers authored by Juerg Tschirren

Since Specialization
Citations

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

Fields of papers citing papers by Juerg Tschirren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juerg Tschirren

This figure shows the co-authorship network connecting the top 25 collaborators of Juerg Tschirren. A scholar is included among the top collaborators of Juerg Tschirren 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 Juerg Tschirren. Juerg Tschirren 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.
Shahin, Yousef, Faisal Alandejani, Krit Dwivedi, et al.. (2022). Severe pulmonary hypertension associated with lung disease is characterised by a loss of small pulmonary vessels on quantitative computed tomography. ERJ Open Research. 8(2). 503–2021. 19 indexed citations
2.
Shahin, Yousef, Samer Alabed, Juerg Tschirren, et al.. (2022). Quantitative CT Evaluation of Small Pulmonary Vessels Has Functional and Prognostic Value in Pulmonary Hypertension. Radiology. 305(2). 431–440. 8 indexed citations
3.
Jain, C. Charles, Juerg Tschirren, Yogesh N.V. Reddy, et al.. (2021). Subclinical Pulmonary Congestion and Abnormal Hemodynamics in Heart Failure With Preserved Ejection Fraction. JACC. Cardiovascular imaging. 15(4). 629–637. 12 indexed citations
4.
Hague, Cameron, Darra Murphy, Harvey O. Coxson, et al.. (2020). Association of Computed Tomography Densitometry with Disease Severity, Functional Decline, and Survival in Systemic Sclerosis-associated Interstitial Lung Disease. Annals of the American Thoracic Society. 17(7). 813–820. 18 indexed citations
5.
Casal, Roberto F., Boris Sepesi, Ala-Eddin S. Sagar, et al.. (2019). Centrally located lung cancer and risk of occult nodal disease: an objective evaluation of multiple definitions of tumour centrality with dedicated imaging software. European Respiratory Journal. 53(5). 1802220–1802220. 40 indexed citations
6.
Newell, John D., et al.. (2018). Quantitative CT of Interstitial Lung Disease. Seminars in Roentgenology. 54(1). 73–79. 8 indexed citations
7.
Kirby, Miranda, Youbing Yin, Juerg Tschirren, et al.. (2017). A Novel Method of Estimating Small Airway Disease Using Inspiratory-to-Expiratory Computed Tomography. Respiration. 94(4). 336–345. 46 indexed citations
8.
Tschirren, Juerg, Jered Sieren, MeiLan K. Han, et al.. (2017). GOLD-associated shape variations in central airway tree assessed via QCT. PA795–PA795. 1 indexed citations
9.
Tschirren, Juerg, et al.. (2015). Fully automated labeling of sub-segmental airways in human airway trees. PA758–PA758. 1 indexed citations
10.
Valipour, Arschang, Pallav L. Shah, Wolfgang Gesierich, et al.. (2015). Patterns of Emphysema Heterogeneity. Respiration. 90(5). 402–411. 29 indexed citations
11.
Díaz, Alejandro A., MeiLan K. Han, Côme Camus, et al.. (2013). Effect of Emphysema on CT Scan Measures of Airway Dimensions in Smokers. CHEST Journal. 143(3). 687–693. 22 indexed citations
12.
Snyder, Eric M., et al.. (2009). Influence of Rapid Fluid Loading on Airway Structure and Function in Healthy Humans. Journal of Cardiac Failure. 16(2). 175–185. 8 indexed citations
13.
Hoffman, Eric A., et al.. (2007). Comparison of airway diameter measurements from an anthropomorphic airway tree phantom using hyperpolarized 3He MRI and high‐resolution computed tomography. Magnetic Resonance in Medicine. 58(3). 636–642. 15 indexed citations
14.
Palágyi, Kálmán, Juerg Tschirren, Eric A. Hoffman, & Milan Sonka. (2005). Quantitative analysis of pulmonary airway tree structures. Computers in Biology and Medicine. 36(9). 974–996. 100 indexed citations
15.
Tschirren, Juerg, Eric A. Hoffman, Geoffrey McLennan, & Milan Sonka. (2005). Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans. IEEE Transactions on Medical Imaging. 24(12). 1529–1539. 211 indexed citations
16.
Tschirren, Juerg, et al.. (2005). Segmentation and Quantitative Analysis of Intrathoracic Airway Trees from Computed Tomography Images. Proceedings of the American Thoracic Society. 2(6). 484–487. 60 indexed citations
17.
Tschirren, Juerg, G. McLennan, Kálmán Palágyi, Eric A. Hoffman, & Milan Sonka. (2005). Matching and anatomical labeling of human airway tree. IEEE Transactions on Medical Imaging. 24(12). 1540–1547. 126 indexed citations
18.
Suter, Melissa J., Juerg Tschirren, Joseph M. Reinhardt, et al.. (2004). Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging. Physiological Measurement. 25(4). 837–847. 14 indexed citations
19.
Tawhai, Merryn H., Peter Hunter, Juerg Tschirren, et al.. (2004). CT-based geometry analysis and finite element models of the human and ovine bronchial tree. Journal of Applied Physiology. 97(6). 2310–2321. 262 indexed citations
20.
Hoffman, Eric A., Joseph M. Reinhardt, Milan Sonka, et al.. (2003). Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1. Academic Radiology. 10(10). 1104–1118. 157 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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