Muntsin Kolss

20 total papers · 454 total citations
17 papers, 300 citations indexed

About

Muntsin Kolss is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Muntsin Kolss has authored 17 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Muntsin Kolss's work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Speech and dialogue systems (12 papers). Muntsin Kolss is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Speech and dialogue systems (12 papers). Muntsin Kolss collaborates with scholars based in Germany, United States and France. Muntsin Kolss's co-authors include Alex Waibel, Christian Fügen, Jan Niehues, Stephan Vogel, Matthias Paulik, Sebastian Stüker, Gregor Leusch, Evgeny Matusov, Nicola Bertoldi and Young‐Suk Lee and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Machine Translation and IEEE Potentials.

In The Last Decade

Muntsin Kolss

17 papers receiving 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muntsin Kolss 285 21 20 10 8 17 300
Vivek Kumar Rangarajan Sridhar 289 1.0× 17 0.8× 25 1.3× 7 0.7× 8 1.0× 21 319
Sandra Kuebler 221 0.8× 16 0.8× 13 0.7× 13 1.3× 7 0.9× 11 282
Alok Ranjan Pal 285 1.0× 15 0.7× 17 0.8× 7 0.7× 19 2.4× 26 309
E.F. Tjong Kim Sang 237 0.8× 35 1.7× 20 1.0× 14 1.4× 22 2.8× 23 297
Diganta Saha 307 1.1× 17 0.8× 21 1.1× 6 0.6× 18 2.3× 29 336
Kilian Evang 312 1.1× 25 1.2× 34 1.7× 3 0.3× 14 1.8× 25 338
William N. Locke 145 0.5× 32 1.5× 17 0.8× 5 0.5× 23 2.9× 16 240
Kyoko Kanzaki 234 0.8× 39 1.9× 21 1.1× 8 0.8× 26 3.3× 31 267
Varada Kolhatkar 202 0.7× 13 0.6× 19 0.9× 29 2.9× 17 2.1× 13 238
John Niekrasz 179 0.6× 10 0.5× 17 0.8× 4 0.4× 4 0.5× 21 214

Countries citing papers authored by Muntsin Kolss

Since Specialization
Citations

This map shows the geographic impact of Muntsin Kolss'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 Muntsin Kolss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muntsin Kolss more than expected).

Fields of papers citing papers by Muntsin Kolss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muntsin Kolss. 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 Muntsin Kolss. The network helps show where Muntsin Kolss may publish in the future.

Co-authorship network of co-authors of Muntsin Kolss

This figure shows the co-authorship network connecting the top 25 collaborators of Muntsin Kolss. A scholar is included among the top collaborators of Muntsin Kolss 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 Muntsin Kolss. Muntsin Kolss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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