Denis Savenkov
About
In The Last Decade
Denis Savenkov
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 185
- Information Systems 83
- Computer Science Applications 34
- Computer Vision and Pattern Recognition 25
- Information Systems and Management 18
Countries citing papers authored by Denis Savenkov
This map shows the geographic impact of Denis Savenkov'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 Denis Savenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Savenkov more than expected).
Fields of papers citing papers by Denis Savenkov
This network shows the impact of papers produced by Denis Savenkov. 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 Denis Savenkov. The network helps show where Denis Savenkov may publish in the future.
Co-authorship network of co-authors of Denis Savenkov
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Savenkov. A scholar is included among the top collaborators of Denis Savenkov 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 Denis Savenkov. Denis Savenkov 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 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 69 | |
| 6 | 43 | |
| 7 | Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering. | 1 |
| 8 | 2 | |
| 9 | 38 | |
| 10 | 14 | |
| 11 | Ranking Answers and Web Passages for Non-factoid Question Answering: Emory University at TREC LiveQA. | 5 |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | Improving Relevance Prediction by Addressing Biases and Sparsity in Web Search Click Data | 8 |
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.