Aleksandr Sinitca

740 total citations
39 papers, 398 citations indexed

About

Aleksandr Sinitca is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aleksandr Sinitca has authored 39 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aleksandr Sinitca's work include AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Aleksandr Sinitca is often cited by papers focused on AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Aleksandr Sinitca collaborates with scholars based in Russia, Israel and United Kingdom. Aleksandr Sinitca's co-authors include Dmitrii Kaplun, Ram Sarkar, Rohit Kundu, Shibaprasad Sen, Anna Zamansky, Pritam Saha, Dirk van der Linden, Somnath Chatterjee, Rishav Pramanik and Airat R. Kayumov and has published in prestigious journals such as Scientific Reports, Applied Sciences and Applied Animal Behaviour Science.

In The Last Decade

Aleksandr Sinitca

34 papers receiving 389 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aleksandr Sinitca 134 100 74 48 43 39 398
Mohammad Fraiwan 156 1.2× 71 0.7× 100 1.4× 15 0.3× 119 2.8× 48 887
Yue Gao 161 1.2× 94 0.9× 51 0.7× 48 1.0× 67 1.6× 71 552
Ricard Delgado-Gonzalo 68 0.5× 205 2.0× 59 0.8× 13 0.3× 261 6.1× 49 863
Shrinivas Pundlik 56 0.4× 588 5.9× 86 1.2× 13 0.3× 23 0.5× 57 991
Pengcheng Xi 133 1.0× 195 1.9× 145 2.0× 22 0.5× 70 1.6× 66 737
Sangseok Yun 179 1.3× 174 1.7× 42 0.6× 154 3.2× 39 0.9× 51 633
Talha Iqbal 112 0.8× 97 1.0× 143 1.9× 22 0.5× 159 3.7× 27 557
Pratheepan Yogarajah 148 1.1× 260 2.6× 82 1.1× 35 0.7× 104 2.4× 48 534
Juan P. Dominguez‐Morales 218 1.6× 85 0.8× 131 1.8× 15 0.3× 94 2.2× 60 684
Jong-Ha Lee 34 0.3× 67 0.7× 91 1.2× 17 0.4× 43 1.0× 47 326

Countries citing papers authored by Aleksandr Sinitca

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandr Sinitca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandr Sinitca

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandr Sinitca. A scholar is included among the top collaborators of Aleksandr Sinitca 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 Aleksandr Sinitca. Aleksandr Sinitca 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.
Lisovskaya, Svetlana А., et al.. (2025). Revealing the key factors associated with acne development and treatment with a fixed combination adapalene + metronidazole. Meditsinskiy sovet = Medical Council. 125–135.
2.
Sinitca, Aleksandr, et al.. (2024). A fuzzy rank-based ensemble of CNN models for MRI segmentation. Biomedical Signal Processing and Control. 102. 107342–107342. 1 indexed citations
3.
Sinitca, Aleksandr, et al.. (2024). Microscopy Image Dataset for Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes. Scientific Data. 11(1). 635–635. 3 indexed citations
4.
Chmelevsky, Mikhail, et al.. (2023). Clinical evaluation of the new 12-lead ECG noninvasive epi-endocardial mapping technology. EP Europace. 25(Supplement_1). 2 indexed citations
5.
Chmelevsky, Mikhail, et al.. (2023). Clinical Validation of the New 12-Lead ECG Noninvasive Panoramic Epi-endocardial Mapping Technology. Computing in cardiology. 50. 1 indexed citations
6.
Chmelevsky, Mikhail, et al.. (2023). An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs. Computing in cardiology. 1 indexed citations
7.
Sinitca, Aleksandr, et al.. (2023). Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks. 1(1). 3 indexed citations
8.
Bogachev, Mikhail I., Б. И. Гареев, Dmitrii Kaplun, et al.. (2023). The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest. Frontiers in Environmental Science. 11. 6 indexed citations
11.
Kaplun, Dmitrii, Aleksandr Sinitca, Mohammed S. Alqahtani, et al.. (2023). Development of a mobile-based intelligent module for identification and tracking of household appliances. Scientific Reports. 13(1). 16779–16779. 2 indexed citations
12.
Trizna, Elena Y., Aleksandr Sinitca, Diana R. Baidamshina, et al.. (2023). Brightfield vs Fluorescent Staining Dataset–A Test Bed Image Set for Machine Learning based Virtual Staining. Scientific Data. 10(1). 160–160. 5 indexed citations
13.
Pramanik, Rishav, et al.. (2023). Microstructural segmentation using a union of attention guided U-Net models with different color transformed images. Scientific Reports. 13(1). 5737–5737. 20 indexed citations
15.
Byosiere, Sarah‐Elizabeth, et al.. (2022). Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis. Applied Animal Behaviour Science. 250. 105614–105614. 4 indexed citations
16.
Saha, Pritam, et al.. (2022). Brain tumor image generation using an aggregation of GAN models with style transfer. Scientific Reports. 12(1). 9141–9141. 57 indexed citations
18.
Kundu, Rohit, et al.. (2021). A fuzzy rank-based ensemble of CNN models for classification of cervical cytology. Scientific Reports. 11(1). 14538–14538. 118 indexed citations
19.
Chatterjee, Somnath, et al.. (2021). A deep learning model for classifying human facial expressions from infrared thermal images. Scientific Reports. 11(1). 20696–20696. 27 indexed citations
20.
Kaplun, Dmitrii, et al.. (2019). Trends in animal welfare and veterinary informatics. AIP conference proceedings. 2140. 20032–20032. 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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