Evgeny M. Mirkes

1.7k total citations
54 papers, 945 citations indexed

About

Evgeny M. Mirkes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Physiology. According to data from OpenAlex, Evgeny M. Mirkes has authored 54 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Physiology. Recurrent topics in Evgeny M. Mirkes's work include Neural Networks and Applications (6 papers), Face and Expression Recognition (4 papers) and Physical Activity and Health (4 papers). Evgeny M. Mirkes is often cited by papers focused on Neural Networks and Applications (6 papers), Face and Expression Recognition (4 papers) and Physical Activity and Health (4 papers). Evgeny M. Mirkes collaborates with scholars based in United Kingdom, Russia and France. Evgeny M. Mirkes's co-authors include Alexander N. Gorban, Melanie J. Davies, Kamlesh Khunti, Tom Yates, Alex V. Rowlands, Jeremy Levesley, Charlotte L. Edwardson, Ivan Tyukin, Stacy A. Clemes and Andreï Zinovyev and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Evgeny M. Mirkes

50 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny M. Mirkes United Kingdom 16 172 171 142 133 125 54 945
Shefali Parikh India 8 94 0.5× 67 0.4× 104 0.7× 131 1.0× 149 1.2× 16 1.5k
Tong Tong Wu United States 20 137 0.8× 132 0.8× 160 1.1× 416 3.1× 131 1.0× 88 1.7k
Rajul Parikh India 20 96 0.6× 72 0.4× 172 1.2× 249 1.9× 191 1.5× 58 2.3k
G. Chandra Sekhar India 14 97 0.6× 73 0.4× 139 1.0× 140 1.1× 159 1.3× 25 1.9k
Annie Mathai India 21 93 0.5× 65 0.4× 135 1.0× 225 1.7× 204 1.6× 58 2.0k
Tiffany Ng Hong Kong 13 120 0.7× 99 0.6× 76 0.5× 96 0.7× 372 3.0× 20 1.8k
Simon Nusinovici Singapore 19 148 0.9× 37 0.2× 139 1.0× 81 0.6× 136 1.1× 66 1.4k
William E. Bennett United States 18 52 0.3× 83 0.5× 96 0.7× 366 2.8× 133 1.1× 80 1.4k
Hui Chen China 27 304 1.8× 101 0.6× 88 0.6× 189 1.4× 380 3.0× 220 2.5k
Evgeni Tsivtsivadze Netherlands 11 98 0.6× 152 0.9× 57 0.4× 326 2.5× 329 2.6× 25 959

Countries citing papers authored by Evgeny M. Mirkes

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny M. Mirkes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeny M. Mirkes. 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 Evgeny M. Mirkes. The network helps show where Evgeny M. Mirkes may publish in the future.

Co-authorship network of co-authors of Evgeny M. Mirkes

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny M. Mirkes. A scholar is included among the top collaborators of Evgeny M. Mirkes 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 Evgeny M. Mirkes. Evgeny M. Mirkes 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.
Güven, Ramazan, et al.. (2024). Concordance with routine Clinical Frailty Scale screening in the frailty in European emergency departments (FEED) study. International Emergency Nursing. 78. 101565–101565. 1 indexed citations
2.
Tyukin, Ivan, et al.. (2024). Coping with AI errors with provable guarantees. Information Sciences. 678. 120856–120856. 1 indexed citations
3.
Coats, Tim & Evgeny M. Mirkes. (2024). Missing data in emergency care: a pitfall in the interpretation of analysis and research based on electronic patient records. Emergency Medicine Journal. 41(9). 563–566. 2 indexed citations
4.
Liu, Ying, Valeri A. Makarov, Yuxiang Huang, et al.. (2023). Agile gesture recognition for capacitive sensing devices: adapting on-the-job. 1–8. 3 indexed citations
5.
Mirkes, Evgeny M., et al.. (2022). The Arch-I-Scan Project: Artificial Intelligence and 3D Simulation for Developing New Approaches to Roman Foodways. SHILAP Revista de lepidopterología. 5(1). 78–95. 1 indexed citations
6.
Yates, Thomas, Cameron Razieh, Amitava Banerjee, et al.. (2022). A population-based cohort study of obesity, ethnicity and COVID-19 mortality in 12.6 million adults in England. Nature Communications. 13(1). 624–624. 30 indexed citations
7.
Mirkes, Evgeny M., et al.. (2021). Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery. Entropy. 23(9). 1140–1140. 4 indexed citations
8.
Razieh, Cameron, Kamlesh Khunti, Amitava Banerjee, et al.. (2021). COVID-19 vaccination uptake amongst ethnic minority communities in England: a linked study exploring the drivers of differential vaccination rates. Journal of Public Health. 45(1). e65–e74. 40 indexed citations
9.
Albergante, Luca, Evgeny M. Mirkes, Huidong Chen, et al.. (2020). Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. Entropy. 22(3). 296–296. 35 indexed citations
10.
Gorban, Alexander N., et al.. (2020). Automatic short answer grading and feedback using text mining methods. Procedia Computer Science. 169. 726–743. 69 indexed citations
11.
Jones, Petra, M. K. James, Melanie J. Davies, et al.. (2020). FilterK: A new outlier detection method for k-means clustering of physical activity. Journal of Biomedical Informatics. 104. 103397–103397. 24 indexed citations
12.
Jones, Petra, Evgeny M. Mirkes, Tom Yates, et al.. (2019). Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data. Sensors. 19(20). 4504–4504. 7 indexed citations
13.
Gorban, Alexander N., Evgeny M. Mirkes, & Ivan Tyukin. (2019). How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. Cognitive Computation. 12(2). 388–397. 34 indexed citations
14.
Collingwood, Joanna F., Kalotina Geraki, Evgeny M. Mirkes, et al.. (2018). Metallome of cerebrovascular endothelial cells infected with Toxoplasma gondii using μ-XRF imaging and inductively coupled plasma mass spectrometry. Metallomics. 10(10). 1401–1414. 11 indexed citations
15.
Karim, Kal, Evgeny M. Mirkes, Alexander N. Gorban, et al.. (2018). Theoretical aspects of peptide imprinting: screening of MIP (virtual) binding sites for their interactions with amino acids, di- and tripeptides. Leicester Research Archive (University of Leicester). 6(3). 301–310. 9 indexed citations
16.
Gorban, Alexander N., et al.. (2018). Correction of AI systems by linear discriminants: Probabilistic foundations. Information Sciences. 466. 303–322. 37 indexed citations
17.
Mirkes, Evgeny M., et al.. (2014). Computational diagnosis and risk evaluation for canine lymphoma. Computers in Biology and Medicine. 53. 279–290. 5 indexed citations
18.
Manso, Ana Sousa, John M. Atack, Leonardo Furi, et al.. (2014). A random six-phase switch regulates pneumococcal virulence via global epigenetic changes. Nature Communications. 5(1). 5055–5055. 168 indexed citations
19.
Gorban, Alexander N., et al.. (1994). " MULTINEURON " NEURAL SIMULATOR AND ITS MEDICAL APPLICATIONS. International Conference on Neural Information Processing. 3(1). 1261–1264. 1 indexed citations
20.
Gorban, Alexander N., Evgeny M. Mirkes, A. N. Bocharov, & В. И. Быков. (1989). Thermodynamic consistency of kinetic data. Combustion Explosion and Shock Waves. 25(5). 593–600. 4 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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