Daniel Fitting

686 total citations
17 papers, 454 citations indexed

About

Daniel Fitting is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Fitting has authored 17 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Fitting's work include Colorectal Cancer Screening and Detection (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Daniel Fitting is often cited by papers focused on Colorectal Cancer Screening and Detection (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Daniel Fitting collaborates with scholars based in Germany, Italy and Romania. Daniel Fitting's co-authors include Alexander Hann, Joel Troya, Stefan Zeuzem, Christoph Sarrazin, Eva Herrmann, Frank Puppe, Adrian Krenzer, Wolfram G. Zoller, Julia Dietz and Joerg Bojunga and has published in prestigious journals such as Hepatology, Journal of Virology and Ultrasound in Medicine & Biology.

In The Last Decade

Daniel Fitting

15 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Fitting Germany 12 173 156 145 142 65 17 454
Jean‐François Ramée France 9 76 0.4× 160 1.0× 53 0.4× 149 1.0× 109 1.7× 15 460
Hend Ibrahim Shousha Egypt 13 381 2.2× 71 0.5× 438 3.0× 43 0.3× 60 0.9× 69 700
Gen Iinuma Japan 13 67 0.4× 304 1.9× 85 0.6× 157 1.1× 182 2.8× 42 692
João V. Horvat United States 13 38 0.2× 59 0.4× 96 0.7× 481 3.4× 89 1.4× 30 642
Zhihong Weng China 11 95 0.5× 50 0.3× 144 1.0× 44 0.3× 33 0.5× 18 390
Yuli Zhu China 10 155 0.9× 23 0.1× 160 1.1× 86 0.6× 47 0.7× 38 339
Boang Liu United States 7 89 0.5× 135 0.9× 36 0.2× 109 0.8× 28 0.4× 11 379
Jiaxin Li China 12 56 0.3× 144 0.9× 42 0.3× 34 0.2× 86 1.3× 30 410
Cristina Sánchez-Montes Spain 10 69 0.4× 246 1.6× 60 0.4× 92 0.6× 157 2.4× 29 450

Countries citing papers authored by Daniel Fitting

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fitting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fitting

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fitting. A scholar is included among the top collaborators of Daniel Fitting 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 Daniel Fitting. Daniel Fitting 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.
Krenzer, Adrian, et al.. (2023). Automated classification of polyps using deep learning architectures and few-shot learning. BMC Medical Imaging. 23(1). 59–59. 30 indexed citations
2.
Krenzer, Adrian, et al.. (2023). A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. Journal of Imaging. 9(2). 26–26. 37 indexed citations
3.
Troya, Joel, Adrian Krenzer, Daniel Fitting, et al.. (2022). Pilot study of a new freely available computer-aided polyp detection system in clinical practice. International Journal of Colorectal Disease. 37(6). 1349–1354. 12 indexed citations
4.
Krenzer, Adrian, Daniel Fitting, Joel Troya, et al.. (2022). Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists. BioMedical Engineering OnLine. 21(1). 33–33. 25 indexed citations
5.
Fitting, Daniel, Adrian Krenzer, Joel Troya, et al.. (2022). A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems. Scandinavian Journal of Gastroenterology. 57(11). 1397–1403. 19 indexed citations
6.
Troya, Joel, Daniel Fitting, Markus Brand, et al.. (2022). The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze. Endoscopy. 54(10). 1009–1014. 34 indexed citations
7.
Klepsch, Matthias, Anna Mokrowiecka, Alberto Murino, et al.. (2021). Internationale Umfrage zu dem Einsatz von virtueller Realität in der endoskopischen Weiterbildung von Ärzten und Pflegepersonal. Zeitschrift für Gastroenterologie.
8.
Hann, Alexander, Joel Troya, & Daniel Fitting. (2021). Current status and limitations of artificial intelligence in colonoscopy. United European Gastroenterology Journal. 9(5). 527–533. 34 indexed citations
9.
Mücke, Victoria T., Daniel Fitting, G. Dultz, et al.. (2020). Application of Contrast-Enhanced Ultrasound to Detect Hepatic Hydrothorax in Patients with Liver Cirrhosis. Ultraschall in der Medizin - European Journal of Ultrasound. 43(5). 473–478. 5 indexed citations
10.
Stratmann, Katharina, Daniel Fitting, Stefan Zeuzem, et al.. (2019). Establishing an indwelling peritoneal catheter as a standard procedure for hospitalized patients with ascites: Retrospective data on feasibility, effectiveness and safety. United European Gastroenterology Journal. 7(5). 673–681. 2 indexed citations
11.
12.
Schwarzkopf, Katharina, Sabrina Rüschenbaum, Marcus M. Mücke, et al.. (2019). IL‐22 and IL‐22‐Binding Protein Are Associated With Development of and Mortality From Acute‐on‐Chronic Liver Failure. Hepatology Communications. 3(3). 392–405. 32 indexed citations
13.
Gerber, Ludmila, Daniel Fitting, Nina Weiler, et al.. (2017). Evaluation of 2D- Shear Wave Elastography for Characterisation of Focal Liver Lesions. Journal of Gastrointestinal and Liver Diseases. 26(3). 283–290. 36 indexed citations
14.
Gerber, Ludmila, Daniel Fitting, Viola Knop, et al.. (2015). Assessment of Liver Fibrosis with 2-D Shear Wave Elastography in Comparison to Transient Elastography and Acoustic Radiation Force Impulse Imaging in Patients with Chronic Liver Disease. Ultrasound in Medicine & Biology. 41(9). 2350–2359. 73 indexed citations
15.
Grammatikos, Georgios, Nerea Ferreirós, Dimitra Bon, et al.. (2014). Variations in serum sphingolipid levels associate with liver fibrosis progression and poor treatment outcome in hepatitis C virus but not hepatitis B virus infection. Hepatology. 61(3). 812–822. 38 indexed citations
16.
17.
Dietz, Julia, Daniel Fitting, Ulrike Mihm, et al.. (2013). Deep Sequencing Reveals Mutagenic Effects of Ribavirin during Monotherapy of Hepatitis C Virus Genotype 1-Infected Patients. Journal of Virology. 87(11). 6172–6181. 76 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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