Vasil S. Denchev
About
In The Last Decade
Vasil S. Denchev
8 papers receiving 330 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 294
- Atomic and Molecular Physics, and Optics 162
- Computational Theory and Mathematics 56
- Electrical and Electronic Engineering 38
- Information Systems 17
Countries citing papers authored by Vasil S. Denchev
This map shows the geographic impact of Vasil S. Denchev'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 Vasil S. Denchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasil S. Denchev more than expected).
Fields of papers citing papers by Vasil S. Denchev
This network shows the impact of papers produced by Vasil S. Denchev. 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 Vasil S. Denchev. The network helps show where Vasil S. Denchev may publish in the future.
Co-authorship network of co-authors of Vasil S. Denchev
This figure shows the co-authorship network connecting the top 25 collaborators of Vasil S. Denchev. A scholar is included among the top collaborators of Vasil S. Denchev 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 Vasil S. Denchev. Vasil S. Denchev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Commercialize quantum technologies in five years breakdown → | 137 |
| 2 | 131 | |
| 3 | Computational Role of Collective Tunneling in a Quantum Annealer | 1 |
| 4 | Binary classification with adiabatic quantum optimization | 3 |
| 5 | QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. | 20 |
| 6 | 17 | |
| 7 | 40 | |
| 8 | 5 |
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.