Michael Liedlgruber

1.7k total citations
48 papers, 1.1k citations indexed

About

Michael Liedlgruber is a scholar working on Computer Vision and Pattern Recognition, Oncology and Gastroenterology. According to data from OpenAlex, Michael Liedlgruber has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Oncology and 10 papers in Gastroenterology. Recurrent topics in Michael Liedlgruber's work include Image Retrieval and Classification Techniques (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Michael Liedlgruber is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Michael Liedlgruber collaborates with scholars based in Austria, Germany and United States. Michael Liedlgruber's co-authors include Andreas Uhl, Frank H. Wilhelm, Andreas Vécsei, Jens Blechert, Michael Häfner, Friedrich Wrba, Julia Reichenberger, Peter Peyk, Peter Kuppens and Günther Sagl and has published in prestigious journals such as Pain, Behaviour Research and Therapy and Sensors.

In The Last Decade

Michael Liedlgruber

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Liedlgruber Austria 18 238 226 224 215 205 48 1.1k
Pedro L. Ballester Canada 17 141 0.6× 152 0.7× 12 0.1× 47 0.2× 66 0.3× 32 764
Guillaume Sacco France 17 60 0.3× 95 0.4× 34 0.2× 58 0.3× 36 0.2× 55 1.0k
Ji‐Hae Kim South Korea 19 228 1.0× 402 1.8× 3 0.0× 53 0.2× 283 1.4× 84 1.6k
Yan Ma China 20 39 0.2× 43 0.2× 10 0.0× 72 0.3× 259 1.3× 94 1.4k
Bruno Bonnechère Belgium 20 112 0.5× 90 0.4× 7 0.0× 6 0.0× 89 0.4× 129 1.5k
Brandon Birckhead United States 12 103 0.4× 64 0.3× 5 0.0× 12 0.1× 61 0.3× 24 1.1k
Khalid H. Malki Saudi Arabia 17 63 0.3× 49 0.2× 51 0.2× 7 0.0× 138 0.7× 47 1.2k
Simon Sheard United Kingdom 6 64 0.3× 31 0.1× 5 0.0× 34 0.2× 93 0.5× 13 989
Álvaro Sánchez‐Ferro Spain 24 50 0.2× 30 0.1× 11 0.0× 25 0.1× 24 0.1× 59 1.7k
Ryan S. McGinnis United States 25 129 0.5× 105 0.5× 2 0.0× 20 0.1× 131 0.6× 93 1.7k

Countries citing papers authored by Michael Liedlgruber

Since Specialization
Citations

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

Fields of papers citing papers by Michael Liedlgruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Liedlgruber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Liedlgruber. A scholar is included among the top collaborators of Michael Liedlgruber 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 Michael Liedlgruber. Michael Liedlgruber 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.
Miedl, Stephan F., et al.. (2024). Hitting the Rewind Button: Imagining Analogue Trauma Memories in Reverse Reduces Distressing Intrusions. Cognitive Therapy and Research. 48(5). 932–943. 1 indexed citations
2.
Miedl, Stephan F., et al.. (2023). Experimental induction of peritraumatic dissociation: The role of negative affect and pain and their psychophysiological and neural correlates. Behaviour Research and Therapy. 164. 104289–104289. 5 indexed citations
3.
Liedlgruber, Michael, et al.. (2023). Psychometric properties of the dissociative subtype of posttraumatic stress disorder scale: replication and extension in two German-speaking samples. European journal of psychotraumatology. 14(2). 2238492–2238492. 3 indexed citations
4.
Wilhelm, Frank H., et al.. (2022). Does the Heart Fall Asleep?—Diurnal Variations in Heart Rate Variability in Patients with Disorders of Consciousness. Brain Sciences. 12(3). 375–375. 2 indexed citations
5.
Miedl, Stephan F., et al.. (2022). Estradiol during (analogue-)trauma: Risk- or protective factor for intrusive re-experiencing?. Psychoneuroendocrinology. 143. 105819–105819. 5 indexed citations
6.
Liedlgruber, Michael, et al.. (2021). Peritraumatic dissociation revisited: associations with autonomic activation, facial movements, staring, and intrusion formation. European journal of psychotraumatology. 12(1). 1991609–1991609. 11 indexed citations
7.
Miedl, Stephan F., et al.. (2020). Sensation seeking and neuroticism in fear conditioning and extinction: The role of avoidance behaviour. Behaviour Research and Therapy. 135. 103761–103761. 9 indexed citations
8.
Mauss, Iris B., et al.. (2020). Sex differences in emotional concordance. Biological Psychology. 151. 107845–107845. 23 indexed citations
9.
Sagl, Günther, Bernd Resch, Andreas Petutschnig, et al.. (2019). Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors. Sensors. 19(20). 4448–4448. 17 indexed citations
10.
Reichenberger, Julia, Nicole Wiggert, Frank H. Wilhelm, et al.. (2019). Fear of negative and positive evaluation and reactivity to social-evaluative videos in social anxiety disorder. Behaviour Research and Therapy. 116. 140–148. 20 indexed citations
11.
Liedlgruber, Michael, et al.. (2019). Fear acquisition and extinction deficits in amnestic mild cognitive impairment and early Alzheimer's disease. Neurobiology of Aging. 87. 26–34. 22 indexed citations
12.
Reichenberger, Julia, et al.. (2018). Frequency of Intrusions and Appraisal of Related Distress After Analogue Trauma: A Comparative Ecological Momentary Assessment Methods Study. Cognitive Therapy and Research. 43(1). 174–184. 30 indexed citations
13.
Blechert, Jens, Michael Liedlgruber, Anja Lender, Julia Reichenberger, & Frank H. Wilhelm. (2017). Unobtrusive electromyography-based eating detection in daily life: A new tool to address underreporting?. Appetite. 118. 168–173. 23 indexed citations
14.
Reichenberger, Julia, Peter Kuppens, Michael Liedlgruber, et al.. (2016). No haste, more taste: An EMA study of the effects of stress, negative and positive emotions on eating behavior. Biological Psychology. 131. 54–62. 113 indexed citations
15.
Blechert, Jens, Peter Peyk, Michael Liedlgruber, & Frank H. Wilhelm. (2015). ANSLAB: Integrated multichannel peripheral biosignal processing in psychophysiological science. Behavior Research Methods. 48(4). 1528–1545. 87 indexed citations
16.
Gadermayr, Michael, Michael Liedlgruber, Andreas Uhl, & Andreas Vécsei. (2013). Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Computer Methods and Programs in Biomedicine. 112(3). 694–712. 13 indexed citations
17.
Vécsei, Andreas, Gabriele Amann, Sebastian Hegenbart, Michael Liedlgruber, & Andreas Uhl. (2011). Automated Marsh-like Classification of Celiac Disease in Children using an Optimized Local Texture Operator. Computers in Biology and Medicine. 313–325. 10 indexed citations
18.
Häfner, Michael, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, & Friedrich Wrba. (2011). Color treatment in endoscopic image classification using multi-scale local color vector patterns. Medical Image Analysis. 16(1). 75–86. 61 indexed citations
19.
Liedlgruber, Michael & Andreas Uhl. (2011). Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review. IEEE Reviews in Biomedical Engineering. 4. 73–88. 130 indexed citations
20.
Vécsei, Andreas, et al.. (2009). Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors. Computer Methods and Programs in Biomedicine. 95(2). S68–S78. 28 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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