Valentin Mendelev

405 total citations
10 papers, 281 citations indexed

About

Valentin Mendelev is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Valentin Mendelev has authored 10 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Valentin Mendelev's work include Speech Recognition and Synthesis (4 papers), Characterization and Applications of Magnetic Nanoparticles (4 papers) and Geomagnetism and Paleomagnetism Studies (4 papers). Valentin Mendelev is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Characterization and Applications of Magnetic Nanoparticles (4 papers) and Geomagnetism and Paleomagnetism Studies (4 papers). Valentin Mendelev collaborates with scholars based in Russia, Netherlands and United States. Valentin Mendelev's co-authors include Alexey O. Ivanov, Sofia S. Kantorovich, Elena S. Pyanzina, Ben H. Erné, Mark Klokkenburg, Sergey Novoselov, Oleg Kudashev, Natalia Tomashenko, Yuri Khokhlov and Deepak Baby and has published in prestigious journals such as Journal of Physics Condensed Matter, Journal of Magnetism and Magnetic Materials and Modern Applied Science.

In The Last Decade

Valentin Mendelev

10 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valentin Mendelev Russia	6	229	114	43	38	37	10	281
Sheng Yan China	10	317 1.4×	33 0.3×	12 0.3×	6 0.2×	101 2.7×	20	385
Kolja Them Germany	8	250 1.1×	193 1.7×	3 0.1×	11 0.3×	35 0.9×	15	308
Rosemary J. Boltryk United Kingdom	10	380 1.7×	23 0.2×	11 0.3×	20 0.5×	121 3.3×	15	431
Heng-Dong Xi Australia	2	309 1.3×	27 0.2×	15 0.3×	2 0.1×	188 5.1×	2	340
Tobias Lilliehorn Sweden	8	438 1.9×	28 0.2×	12 0.3×	6 0.2×	112 3.0×	10	454
Lê Việt Cường Vietnam	12	67 0.3×	12 0.1×	11 0.3×	7 0.2×	147 4.0×	30	405
Quentin Brosseau United States	8	339 1.5×	38 0.3×	86 2.0×	2 0.1×	173 4.7×	14	450
T. Shinohara Japan	3	286 1.2×	25 0.2×	6 0.1×	19 0.5×	141 3.8×	7	315
Weiwei Cui China	12	352 1.5×	46 0.4×	9 0.2×	3 0.1×	111 3.0×	28	387
Zengping Su China	11	130 0.6×	32 0.3×	8 0.2×		65 1.8×	22	348

Countries citing papers authored by Valentin Mendelev

Since Specialization

Citations

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

Fields of papers citing papers by Valentin Mendelev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Mendelev

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Mendelev. A scholar is included among the top collaborators of Valentin Mendelev 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 Valentin Mendelev. Valentin Mendelev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Han, Sung‐Jun, Deepak Baby, & Valentin Mendelev. (2023). Residual Adapters for Targeted Updates in RNN-Transducer Based Speech Recognition System. 30. 160–166. 1 indexed citations

2.

Baby, Deepak, et al.. (2022). Incremental learning for RNN-Transducer based speech recognition models. Interspeech 2022. 71–75. 3 indexed citations

3.

Khokhlov, Yuri, et al.. (2017). The STC Keyword Search System for OpenKWS 2016 Evaluation. 3602–3606. 7 indexed citations

4.

Mendelev, Valentin, et al.. (2015). Prediction of speech recognition accuracy for utterance classification. 1275–1279. 4 indexed citations

5.

Novoselov, Sergey, et al.. (2015). Non-linear PLDA for i-vector speaker verification. 214–218. 18 indexed citations

6.

Mendelev, Valentin, et al.. (2015). Robust Voice Activity Detection with Deep Maxout Neural Networks. Modern Applied Science. 9(8). 3 indexed citations

7.

Klokkenburg, Mark, Ben H. Erné, Valentin Mendelev, & Alexey O. Ivanov. (2008). Magnetization behavior of ferrofluids with cryogenically imaged dipolar chains. Journal of Physics Condensed Matter. 20(20). 204113–204113. 28 indexed citations

8.

Ivanov, Alexey O., Sofia S. Kantorovich, Valentin Mendelev, & Elena S. Pyanzina. (2005). Ferrofluid aggregation in chains under the influence of a magnetic field. Journal of Magnetism and Magnetic Materials. 300(1). e206–e209. 45 indexed citations

9.

Mendelev, Valentin & Alexey O. Ivanov. (2004). Ferrofluid aggregation in chains under the influence of a magnetic field. Physical Review E. 70(5). 51502–51502. 151 indexed citations

10.

Mendelev, Valentin & Alexey O. Ivanov. (2004). Magnetic properties of ferrofluids: an influence of chain aggregates. Journal of Magnetism and Magnetic Materials. 289. 211–214. 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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