Dmitry Bogdanov
About
In The Last Decade
Dmitry Bogdanov
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Signal Processing 654
- Nuclear and High Energy Physics 540
- Computer Vision and Pattern Recognition 486
- Radiation 278
- Atomic and Molecular Physics, and Optics 172
Countries citing papers authored by Dmitry Bogdanov
This map shows the geographic impact of Dmitry Bogdanov'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 Dmitry Bogdanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Bogdanov more than expected).
Fields of papers citing papers by Dmitry Bogdanov
This network shows the impact of papers produced by Dmitry Bogdanov. 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 Dmitry Bogdanov. The network helps show where Dmitry Bogdanov may publish in the future.
Co-authorship network of co-authors of Dmitry Bogdanov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Bogdanov. A scholar is included among the top collaborators of Dmitry Bogdanov 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 Dmitry Bogdanov. Dmitry Bogdanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. | 13 |
| 3 | Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution | 1 |
| 4 | The MTG-Jamendo dataset for automatic music tagging | 34 |
| 5 | Using offline metrics and user behavior analysis to combine multiple systems for music recommendation | 1 |
| 6 | ESSENTIA: an open source library for audio analysis | 5 |
| 7 | Taking Advantage of Editorial Metadata to Recommend Music | 4 |
| 8 | Content-based music recommendation based on user preference examples | 26 |
| 9 | Music classification using high-level models | 2 |
| 10 | 70 | |
| 11 | Cross sections for the production of evaporation particles from compound nuclei 210,212 Ra * obtained in 35 Cl+ 175 Lu and 31 P+ 181 Ta interactions | 2 |
| 12 | Cross sections for the formation of evaporation products in 24 Mg + 197 Au and 51 V + 170 Er interactions | 2 |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | 10 | |
| 17 | Measurement of cross sections for reactions with evaporation of light particles in the complete fusion channel in bombardment of Au and Pb by Ne ions | 1 |
| 18 | 53 | |
| 19 | Delayed proton emitter 119 Ba | 1 |
| 20 | 13 |
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.