Jüri Lember
About
In The Last Decade
Jüri Lember
24 papers receiving 198 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 114
- Statistics and Probability 36
- Computer Vision and Pattern Recognition 35
- Molecular Biology 28
- Electrical and Electronic Engineering 24
Countries citing papers authored by Jüri Lember
This map shows the geographic impact of Jüri Lember'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 Jüri Lember with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jüri Lember more than expected).
Fields of papers citing papers by Jüri Lember
This network shows the impact of papers produced by Jüri Lember. 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 Jüri Lember. The network helps show where Jüri Lember may publish in the future.
Co-authorship network of co-authors of Jüri Lember
This figure shows the co-authorship network connecting the top 25 collaborators of Jüri Lember. A scholar is included among the top collaborators of Jüri Lember 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 Jüri Lember. Jüri Lember is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | Bridging Viterbi and posterior decoding: a generalized risk approach to hidden path inference based on hidden Markov models | 113 |
| 8 | 5 | |
| 9 | 2 | |
| 10 | A generalized risk-based approach to segmentation based on hidden Markov models | 1 |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | Adjusted Viterbi Training : a proof of concept | 4 |
| 18 | Reconstructing a piece of 2-color scenery | 1 |
| 19 | 7 | |
| 20 | 14 |
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.