Jüri Lember

415 citations
32 papers · 243 · h-index 6

Impact in

    • Statistical Methods and Inference
    • Random Matrices and Applications
    • Bayesian Methods and Mixture Models
    • Algorithms and Data Compression
    • Machine Learning and Algorithms
    • Coding theory and cryptography

Papers in

    • Bayesian Methods and Mixture Models 18
    • Algorithms and Data Compression 11
    • Speech Recognition and Synthesis 4
    • Machine Learning and Algorithms 3
    • Natural Language Processing Techniques 2
    • Statistical Methods and Inference 4
    • Statistical Methods and Bayesian Inference 2

Jüri Lember

26 papers receiving 231 citations

Peers

Jüri Lember
Comparison fields: 5 of 75
  • Statistics and Probability 45
  • Artificial Intelligence 136
  • Discrete Mathematics and Combinatorics 6
  • Signal Processing 20
  • Mathematical Physics 15
Replace Markus Jalsenius with:
Markus Jalsenius United Kingdom
Anisur Rahaman Molla India
Harivans Pratap Singh India
Loÿs Thimonier France
Vladimir B. Balakirsky Germany
Marvin Künnemann Germany
Agnes Radl Germany
Przemysław Uznański Poland
Amir Nayyeri United States
Daniel Cullina United States
Jüri Lember relative to Markus Jalsenius United Kingdom Markus Jalsenius's profile →
Citations per field
00.5×1.7×
Markus Jalsenius · 1×
Citations per year

Countries citing papers authored by Jüri Lember

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 16 scholars most cited alongside Jüri Lember, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jüri Lember Line = papers co-authored together Jüri Lember links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bridging Viterbi and posterior decoding: a generalized risk approach to hidden path inference based on hidden Markov models
2014122
2 201516
3 200316
4 200612
5 20077
6 20036
7 20146
8 20106
9 20235
10
Adjusted Viterbi Training : a proof of concept
20055
11 20075
12 20085
13 20073
14 20163
15 20083
16 20153
17 20063
18 19993
19 20113
20 20162

About Jüri Lember

Jüri Lember is a scholar working on Artificial Intelligence, Statistics and Probability, Mathematical Physics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 32 papers that have together received 243 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (18 papers), Algorithms and Data Compression (11 papers), Statistical Methods and Inference (4 papers), Speech Recognition and Synthesis (4 papers), Stochastic processes and statistical mechanics (3 papers), Machine Learning and Algorithms (3 papers), Natural Language Processing Techniques (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (45 citations), Artificial Intelligence (136 citations), Discrete Mathematics and Combinatorics (6 citations), Signal Processing (20 citations) and Mathematical Physics (15 citations). Jüri Lember has collaborated with scholars based in Estonia, United States and United Kingdom. Frequent co-authors include Alexey A. Koloydenko, Heinrich Matzinger, Subhashis Ghosal, Aad van der Vaart, Christian Houdré, Faruk Göloğlu, Vitaly Skachek, Anna-Lisa Vollmer, Jüri Allik and Märt Toots. Their work appears in journals such as Stochastic Processes and their Applications, Information and Inference A Journal of the IMA, Probability in the Engineering and Informational Sciences, Journal of Approximation Theory and Attention Perception & Psychophysics.

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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