Sofya Titarenko

586 total citations
23 papers, 440 citations indexed

About

Sofya Titarenko is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Sofya Titarenko has authored 23 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 5 papers in Radiation. Recurrent topics in Sofya Titarenko's work include Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (6 papers) and Advanced X-ray Imaging Techniques (5 papers). Sofya Titarenko is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (6 papers) and Advanced X-ray Imaging Techniques (5 papers). Sofya Titarenko collaborates with scholars based in United Kingdom, Russia and United States. Sofya Titarenko's co-authors include Philip J. Withers, Valeriy Titarenko, Mahmoud Dhimish, Muhammad Hussain, Peter Mather, Tianhua Chen, Andrew McCaig, A. G. Yagola, Grigoris Antoniou and Albrecht Kyrieleis and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Expert Systems with Applications.

In The Last Decade

Sofya Titarenko

21 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofya Titarenko United Kingdom 11 102 92 81 77 74 23 440
Giuseppe Costantino Giaconia Italy 18 144 1.4× 52 0.6× 43 0.5× 52 0.7× 30 0.4× 66 814
Abdulilah Mohammad Mayet Saudi Arabia 11 110 1.1× 19 0.2× 41 0.5× 6 0.1× 38 0.5× 55 315
Isaac Perez‐Raya United States 9 80 0.8× 172 1.9× 24 0.3× 45 0.6× 3 0.0× 29 406
Qingyong Zhu China 10 31 0.3× 52 0.6× 22 0.3× 30 0.4× 6 0.1× 38 362
Peshawa Jamal Muhammad Ali Iraq 7 100 1.0× 12 0.1× 45 0.6× 7 0.1× 33 0.4× 13 412
Yuying Zhu China 11 137 1.3× 140 1.5× 60 0.7× 13 0.2× 17 0.2× 44 543
Arslan Dawood Butt Pakistan 12 93 0.9× 55 0.6× 43 0.5× 61 0.8× 81 1.1× 41 415
Masayuki Tanabe Japan 12 198 1.9× 116 1.3× 43 0.5× 9 0.1× 7 0.1× 67 765
Yibin Tian China 12 39 0.4× 95 1.0× 30 0.4× 13 0.2× 6 0.1× 56 488
Jiao Wang China 11 61 0.6× 16 0.2× 73 0.9× 11 0.1× 15 0.2× 57 405

Countries citing papers authored by Sofya Titarenko

Since Specialization
Citations

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

Fields of papers citing papers by Sofya Titarenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofya Titarenko

This figure shows the co-authorship network connecting the top 25 collaborators of Sofya Titarenko. A scholar is included among the top collaborators of Sofya Titarenko 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 Sofya Titarenko. Sofya Titarenko 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.
Bucholc, Magda, et al.. (2023). A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. Expert Systems with Applications. 217. 119541–119541. 33 indexed citations
2.
Titarenko, Valeriy & Sofya Titarenko. (2023). PerFSeeB: designing long high-weight single spaced seeds for full sensitivity alignment with a given number of mismatches. BMC Bioinformatics. 24(1). 396–396.
3.
Batsakis, Sotiris, Marios Adamou, Ilias Tachmazidis, et al.. (2022). Data-Driven Decision Support for Adult Autism Diagnosis Using Machine Learning. Huddersfield Research Portal (University of Huddersfield). 2(2). 224–243. 7 indexed citations
4.
Chen, Tianhua, et al.. (2022). A Predictive Analysis of Heart Rates Using Machine Learning Techniques. International Journal of Environmental Research and Public Health. 19(4). 2417–2417. 56 indexed citations
5.
Delves, Michael J., et al.. (2021). Malaria Parasite Detection Using Deep Learning Methods. Zenodo (CERN European Organization for Nuclear Research). 15(2). 175–182. 5 indexed citations
6.
Titarenko, Sofya, et al.. (2019). Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints. Journal Of Big Data. 6(1). 5 indexed citations
7.
McCaig, Andrew, Sofya Titarenko, Ivan P. Savov, et al.. (2018). No significant boron in the hydrated mantle of most subducting slabs. Nature Communications. 9(1). 4602–4602. 27 indexed citations
8.
Titarenko, Sofya & M.W. Hildyard. (2017). Hybrid multicore/vectorisation technique applied to the elastic wave equation on a staggered grid. Computer Physics Communications. 216. 53–62. 9 indexed citations
9.
Titarenko, Sofya & Andrew McCaig. (2015). Modelling the Lost City hydrothermal field: influence of topography and permeability structure. Geofluids. 16(2). 314–328. 17 indexed citations
10.
Titarenko, Sofya & Andrew McCaig. (2014). Constraints on the Lost City Hydrothermal System from borehole thermal data; 3-D models of heat flow and hydrothermal circulation in an oceanic core complex.. 2014 AGU Fall Meeting. 2014. 3 indexed citations
11.
Titarenko, Sofya & Andrew McCaig. (2014). Hydrothermal circulation in fault slots with topography. EGU General Assembly Conference Abstracts. 10934. 1 indexed citations
12.
McCaig, Andrew, K. Faak, Naomi Marks, et al.. (2014). Static and fault-related alteration in the lower ocean crust, IODP Expedition 345, Hess Deep. EGU General Assembly Conference Abstracts. 11420. 1 indexed citations
13.
Titarenko, Sofya & Andrew McCaig. (2013). The permeability of gabbro in oceanic core complexes. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
14.
McCaig, Andrew & Sofya Titarenko. (2012). Permeability Structure Beneath the Lost City Hydrothermal Field, Atlantis Massif Oceanic Core Complex. AGUFM. 2012. 1 indexed citations
15.
Titarenko, Sofya, Valeriy Titarenko, Albrecht Kyrieleis, Philip J. Withers, & Francesco De Carlo. (2011). Suppression of ring artefacts when tomographing anisotropically attenuating samples. Journal of Synchrotron Radiation. 18(3). 427–435. 18 indexed citations
16.
Titarenko, Sofya, Valeriy Titarenko, Albrecht Kyrieleis, & Philip J. Withers. (2010). A prioriinformation in a regularized sinogram-based method for removing ring artefacts in tomography. Journal of Synchrotron Radiation. 17(4). 540–549. 21 indexed citations
17.
Titarenko, Sofya, Philip J. Withers, & A. G. Yagola. (2010). An analytical formula for ring artefact suppression in X-ray tomography. Applied Mathematics Letters. 23(12). 1489–1495. 38 indexed citations
18.
Titarenko, Valeriy, Sofya Titarenko, Philip J. Withers, Francesco De Carlo, & Xianghui Xiao. (2010). Improved tomographic reconstructions using adaptive time-dependent intensity normalization. Journal of Synchrotron Radiation. 17(5). 689–699. 36 indexed citations
19.
Titarenko, Sofya & A. G. Yagola. (2010). Ring artefact suppression in real-time x-ray tomography. Moscow University Physics Bulletin. 65(1). 65–67. 5 indexed citations
20.
Titarenko, Sofya, Valeriy Titarenko, Albrecht Kyrieleis, & Philip J. Withers. (2009). A ring artifact suppression algorithm based on a priori information. Applied Physics Letters. 95(7). 21 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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