Dániel Tóth

954 total citations
49 papers, 573 citations indexed

About

Dániel Tóth is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Dániel Tóth has authored 49 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cardiology and Cardiovascular Medicine and 9 papers in Surgery. Recurrent topics in Dániel Tóth's work include Cardiac pacing and defibrillation studies (11 papers), Advanced MRI Techniques and Applications (8 papers) and Colorectal Cancer Screening and Detection (7 papers). Dániel Tóth is often cited by papers focused on Cardiac pacing and defibrillation studies (11 papers), Advanced MRI Techniques and Applications (8 papers) and Colorectal Cancer Screening and Detection (7 papers). Dániel Tóth collaborates with scholars based in United Kingdom, Germany and United States. Dániel Tóth's co-authors include Til Aach, Peter Mountney, Christopher A. Rinaldi, Rawen Kader, Omer F. Ahmad, Danail Stoyanov, Kawal Rhode, Laurence Lovat, Patrick Brandão and Günter Seidel and has published in prestigious journals such as Stroke, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Dániel Tóth

43 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Tóth United Kingdom 14 160 156 123 96 91 49 573
Ying Fu China 8 134 0.8× 198 1.3× 67 0.5× 47 0.5× 137 1.5× 13 487
Antonella Balestrieri Italy 15 233 1.5× 109 0.7× 82 0.7× 74 0.8× 209 2.3× 49 798
Jiwoong Jeong United States 12 244 1.5× 95 0.6× 127 1.0× 34 0.4× 83 0.9× 34 609
Adam Huang United States 13 119 0.7× 119 0.8× 58 0.5× 37 0.4× 98 1.1× 49 528
Danilo Babin Belgium 12 151 0.9× 114 0.7× 64 0.5× 31 0.3× 73 0.8× 38 355
Yih Miin Liew Malaysia 16 364 2.3× 102 0.7× 318 2.6× 126 1.3× 100 1.1× 52 794
Clifford Yang United States 11 377 2.4× 87 0.6× 64 0.5× 92 1.0× 85 0.9× 22 673
Yanfeng Zhao China 18 408 2.5× 118 0.8× 171 1.4× 72 0.8× 231 2.5× 71 836
Changgong Zhang China 17 46 0.3× 204 1.3× 51 0.4× 77 0.8× 71 0.8× 93 861
Mitsutaka Nemoto Japan 12 202 1.3× 94 0.6× 127 1.0× 32 0.3× 158 1.7× 50 527

Countries citing papers authored by Dániel Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Tóth. A scholar is included among the top collaborators of Dániel Tóth 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 Dániel Tóth. Dániel Tóth 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.
Schatten, Alexander, et al.. (2025). Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories. Big Data and Cognitive Computing. 9(7). 174–174.
2.
Tóth, Dániel, Regina Reimann, Mark Epshtein, et al.. (2024). Dynamic Perviousness Has Predictive Value for Clot Fibrin Content in Acute Ischemic Stroke. Diagnostics. 14(13). 1387–1387. 3 indexed citations
3.
Tóth, Dániel, et al.. (2024). Dynamic Perviousness: A Novel Imaging Marker for Predicting Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke. Diagnostics. 14(11). 1197–1197. 1 indexed citations
4.
5.
Ahmad, Omer F., Evangelos B. Mazomenos, François Chadebecq, et al.. (2023). Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye‐tracking technology. Journal of Gastroenterology and Hepatology. 38(5). 768–774. 7 indexed citations
6.
Tóth, Dániel, et al.. (2023). Intracardiac Echocardiography Guidance Improves Procedural Outcomes in Patients Undergoing Cavotricuspidal Isthmus Ablation for Typical Atrial Flutter. Journal of Clinical Medicine. 12(19). 6277–6277. 3 indexed citations
7.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Spatio-temporal classification for polyp diagnosis. Biomedical Optics Express. 14(2). 593–593. 4 indexed citations
8.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Analysis. 82. 102625–102625. 29 indexed citations
9.
Kader, Rawen, Dániel Tóth, Roser Vega, et al.. (2022). AUTOMATED MEASUREMENT OF COLONOSCOPY WITHDRAWAL TIME USING CONVOLUTIONAL NEURAL NETWORKS. Endoscopy. 54(S 01). S92–S92.
10.
Brandão, Patrick, Dániel Tóth, Vinay Sehgal, et al.. (2021). O30 Deep neural network for the detection of early neoplasia in Barrett’s oesophagus. A17.1–A17. 3 indexed citations
11.
Lines, David, Vinay Sehgal, Dániel Tóth, et al.. (2021). Computer Aided Diagnosis for the Characterisation of Dysplasia in Barrett’s Oesophagus with Magnification Endoscopy. Endoscopy. 2 indexed citations
12.
Tóth, Dániel, et al.. (2020). Csapágyvizsgáló berendezés funkcióstruktúrái. Multidiszciplináris Tudományok. 10(4). 45–49.
13.
Ringl, Helmut, Pascal Baltzer, Dániel Tóth, et al.. (2020). Protocol analysis of dual-energy CT for optimization of kidney stone detection in virtual non-contrast reconstructions. European Radiology. 30(8). 4295–4305. 19 indexed citations
14.
Karim, Rashed, et al.. (2018). Image Data Analysis for Quantifying Scar Transmurality in MRI phantoms for Cardiac Resynchronisation Therapy. PubMed. 2018. 1111–1114. 1 indexed citations
15.
Mountney, Peter, Jonathan M. Behar, Dániel Tóth, et al.. (2017). A Planning and Guidance Platform for Cardiac Resynchronization Therapy. IEEE Transactions on Medical Imaging. 36(11). 2366–2375. 11 indexed citations
16.
Behar, Jonathan M., Peter Mountney, Dániel Tóth, et al.. (2017). Real-Time X-MRI-Guided Left Ventricular Lead Implantation for Targeted Delivery of Cardiac Resynchronization Therapy. JACC. Clinical electrophysiology. 3(8). 803–814. 31 indexed citations
17.
Sieniewicz, Benjamin, et al.. (2017). P996Predicting the optimal site for LV lead deployment using epicardial non-invasive mapping. EP Europace. 19(suppl_3). iii209–iii209. 1 indexed citations
18.
Tóth, Dániel, Marius Mayerhöfer, Geoffrey D. Rubin, et al.. (2013). Rapid Detection of Bone Metastasis at Thoracoabdominal CT: Accuracy and Efficiency of a New Visualization Algorithm. Radiology. 270(3). 825–833. 14 indexed citations
19.
20.
Tóth, Dániel, et al.. (2012). Effect of Group-Velocity Dispersion in Multilevel Amplitude Regenerator based on a Nonlinear Amplifying Loop Mirror. 25. JTh2A.121–JTh2A.121. 2 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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