М. А. Генаев

663 total citations
38 papers, 368 citations indexed

About

М. А. Генаев is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, М. А. Генаев has authored 38 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 9 papers in Molecular Biology and 9 papers in Agronomy and Crop Science. Recurrent topics in М. А. Генаев's work include Wheat and Barley Genetics and Pathology (12 papers), Smart Agriculture and AI (10 papers) and Agricultural Productivity and Crop Improvement (8 papers). М. А. Генаев is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Smart Agriculture and AI (10 papers) and Agricultural Productivity and Crop Improvement (8 papers). М. А. Генаев collaborates with scholars based in Russia, Germany and United Kingdom. М. А. Генаев's co-authors include Д. А. Афонников, E. I. Gultyaeva, Т. А. Пшеничникова, Е. С. Сколотнева, Alexey V. Doroshkov, V. S. Koval, Н. П. Гончаров, Н. А. Колчанов, Andreas Börner and Konstantin Gunbin and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

М. А. Генаев

33 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
М. А. Генаев Russia 10 307 88 55 54 51 38 368
Teshale Assefa United States 14 722 2.4× 56 0.6× 86 1.6× 66 1.2× 123 2.4× 34 818
Andrew Scaboo United States 16 599 2.0× 50 0.6× 73 1.3× 63 1.2× 47 0.9× 48 697
S. Geng United States 9 286 0.9× 55 0.6× 39 0.7× 20 0.4× 55 1.1× 14 337
Daniel Reynolds United Kingdom 6 277 0.9× 47 0.5× 126 2.3× 28 0.5× 14 0.3× 8 333
Goro Ishikawa Japan 14 777 2.5× 53 0.6× 75 1.4× 75 1.4× 82 1.6× 37 840
Jesper Cairo Westergaard Denmark 8 269 0.9× 69 0.8× 59 1.1× 49 0.9× 20 0.4× 13 329
Didier Demilly France 9 256 0.8× 49 0.6× 27 0.5× 46 0.9× 44 0.9× 19 311
Hsiang Sing Naik United States 4 290 0.9× 54 0.6× 70 1.3× 36 0.7× 20 0.4× 4 323
K. S. Hooda India 14 557 1.8× 59 0.7× 19 0.3× 43 0.8× 67 1.3× 49 604

Countries citing papers authored by М. А. Генаев

Since Specialization
Citations

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

Fields of papers citing papers by М. А. Генаев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. А. Генаев. 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 М. А. Генаев. The network helps show where М. А. Генаев may publish in the future.

Co-authorship network of co-authors of М. А. Генаев

This figure shows the co-authorship network connecting the top 25 collaborators of М. А. Генаев. A scholar is included among the top collaborators of М. А. Генаев 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 М. А. Генаев. М. А. Генаев 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
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Генаев, М. А., et al.. (2024). A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example. Vavilov Journal of Genetics and Breeding. 28(4). 443–455.
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Генаев, М. А., et al.. (2024). Image-based classification of wheat spikes by glume pubescence using convolutional neural networks. Frontiers in Plant Science. 14. 1336192–1336192. 5 indexed citations
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Генаев, М. А., et al.. (2023). Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods. Vavilov Journal of Genetics and Breeding. 27(7). 859–868. 3 indexed citations
6.
Hertig, Christian, М. А. Генаев, Sergey V. Morozov, et al.. (2023). WAX INDUCER 1 Regulates β-Diketone Biosynthesis by Mediating Expression of the Cer-cqu Gene Cluster in Barley. International Journal of Molecular Sciences. 24(7). 6762–6762. 3 indexed citations
7.
Vasiliev, Gennady V., Stepan V. Toshchakov, М. А. Генаев, et al.. (2023). Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia. International Journal of Molecular Sciences. 24(6). 5713–5713. 3 indexed citations
8.
Генаев, М. А., N. V. Adonyeva, Е. К. Карпова, et al.. (2022). Classification of Fruit Flies by Gender in Images Using Smartphones and the YOLOv4-Tiny Neural Network. Mathematics. 10(3). 295–295. 17 indexed citations
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Генаев, М. А., et al.. (2020). RDBMS and NOSQL Based Hybrid Technology for Transcriptome Data Structuring and Processing. Mathematical Biology and Bioinformatics. 15(2). 455–470. 2 indexed citations
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Генаев, М. А., et al.. (2019). Image-based analysis of quantitative morphological characteristics of wild potato tubers using the desktop application SeedСounter. Vavilov Journal of Genetics and Breeding. 23(5). 519–526. 2 indexed citations
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Генаев, М. А., et al.. (2018). Wheat ear recognizing algorithm for high throughput wheat phenotyping. 175–175. 1 indexed citations
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Генаев, М. А., et al.. (2018). SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE. Vavilov Journal of Genetics and Breeding. 22(1). 132–140. 3 indexed citations
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Abnizova, Irina, et al.. (2018). Novel read density distribution score shows possible aligner artefacts, when mapping a single chromosome. BMC Genomics. 19(S3). 92–92. 5 indexed citations
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Генаев, М. А., et al.. (2017). Evaluation of the SeedCounter, A Mobile Application for Grain Phenotyping. Frontiers in Plant Science. 7. 1990–1990. 63 indexed citations
16.
Doroshkov, Alexey V., М. А. Генаев, & Д. А. Афонников. (2016). A protocol for analysis of the quantitative characteristics of leaf pubescence in potato. Vavilov Journal of Genetics and Breeding. 20(6). 863–868. 2 indexed citations
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Генаев, М. А.. (2012). Informational Support of the Breeding Experiment in Wheat in the WheatPGE System. Mathematical Biology and Bioinformatics. 7(2). 410–424. 4 indexed citations
18.
Генаев, М. А., Alexey V. Doroshkov, Т. А. Пшеничникова, Н. А. Колчанов, & Д. А. Афонников. (2012). Extraction of quantitative characteristics describing wheat leaf pubescence with a novel image-processing technique. Planta. 236(6). 1943–1954. 23 indexed citations
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Генаев, М. А., Alexey V. Doroshkov, Еlena V. Morozova, Т. А. Пшеничникова, & Д. А. Афонников. (2012). WheatPGE: A system for analysis of relationships among the phenotype, genotype, and environment in wheat. Russian Journal of Genetics Applied Research. 2(3). 262–269. 6 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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