Aleksandr Sinitca

821 citations
46 papers · 516 · h-index 10

Impact in

Papers in

Aleksandr Sinitca

41 papers receiving 502 citations

Peers

Aleksandr Sinitca
Comparison fields: 5 of 105
  • Neurology 63
  • Computer Vision and Pattern Recognition 125
  • Health Informatics 7
  • Small Animals 33
  • Artificial Intelligence 157
Replace Juan Pedro Dominguez-Morales with:
Juan Pedro Dominguez-Morales Spain
Mostafa Mehdipour Ghazi Denmark
Kiran Kumar Patro India
Juan Eloy Arco Spain
Mohammad Fraiwan Jordan
Xu Tian China
Anupam Garg United States
Suiren Wan China
Sangseok Yun South Korea
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Aleksandr Sinitca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aleksandr Sinitca Line = papers co-authored together Aleksandr Sinitca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021146
2 202275
3 202247
4 202137
5 201929
6 202324
7 202118
8 202115
9 201912
10 202011
11 20198
12 20238
13 20238
14 20198
15 20228
16 20197
17 20236
18 20225
19 20225
20 20244

About Aleksandr Sinitca

Aleksandr Sinitca is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Artificial Intelligence, Media Technology and Genetics, having authored 46 papers that have together received 516 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Video Surveillance and Tracking Methods (5 papers), AI in cancer detection (4 papers), Human-Animal Interaction Studies (3 papers), Medical Image Segmentation Techniques (3 papers), Human Pose and Action Recognition (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Neurology (63 citations), Computer Vision and Pattern Recognition (125 citations), Health Informatics (7 citations), Small Animals (33 citations) and Artificial Intelligence (157 citations). Aleksandr Sinitca has collaborated with scholars based in Russia, Israel and United Kingdom. Frequent co-authors include Dmitrii Kaplun, Ram Sarkar, Rohit Kundu, Anna Zamansky, Shibaprasad Sen, Dirk van der Linden, Somnath Chatterjee, Rishav Pramanik, Mikhail I. Bogachev and Robert John Young. Their work appears in journals such as Scientific Reports, Biomedical Signal Processing and Control, Animals, Analytica Chimica Acta and Applied Animal Behaviour Science.

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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