Krista Lagus

109 total papers · 4.8k total citations
61 papers, 2.6k citations indexed

About

Krista Lagus is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Krista Lagus has authored 61 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Krista Lagus's work include Topic Modeling (18 papers), Natural Language Processing Techniques (17 papers) and Neural Networks and Applications (11 papers). Krista Lagus is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (17 papers) and Neural Networks and Applications (11 papers). Krista Lagus collaborates with scholars based in Finland, United States and Norway. Krista Lagus's co-authors include Mathias Creutz, Teuvo Kohonen, Samuel Kaski, Timo Honkela, Jarkko Salojärvi, Sámi Virpioja, Mikko Kurimo, Harri Lähdesmäki, Tommi Vatanen and Marko Sysi‐Aho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Human Brain Mapping.

In The Last Decade

Krista Lagus

58 papers receiving 2.1k citations

Hit Papers

Self organization of a ma... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Krista Lagus 2.0k 598 464 301 123 61 2.6k
Rodrigo C. Barros 1.3k 0.7× 597 1.0× 387 0.8× 257 0.9× 177 1.4× 96 2.3k
Rohini K. Srihari 1.6k 0.8× 741 1.2× 552 1.2× 212 0.7× 62 0.5× 131 2.5k
Edward Grefenstette 2.8k 1.4× 613 1.0× 504 1.1× 170 0.6× 129 1.0× 33 3.7k
Guojun Gan 1.2k 0.6× 579 1.0× 270 0.6× 282 0.9× 134 1.1× 63 2.5k
Kumar Chellapilla 1.2k 0.6× 542 0.9× 633 1.4× 391 1.3× 209 1.7× 60 2.3k
Andrew B. Goldberg 1.8k 0.9× 910 1.5× 319 0.7× 245 0.8× 98 0.8× 35 3.0k
Bianca Zadrozny 2.9k 1.4× 641 1.1× 563 1.2× 218 0.7× 142 1.2× 56 3.9k
Christopher Meek 1.6k 0.8× 345 0.6× 574 1.2× 151 0.5× 173 1.4× 41 2.5k
Phil Blunsom 4.2k 2.1× 1.0k 1.7× 603 1.3× 226 0.8× 72 0.6× 61 5.0k
Han Liu 1.3k 0.6× 400 0.7× 382 0.8× 158 0.5× 228 1.9× 121 2.5k

Countries citing papers authored by Krista Lagus

Since Specialization
Citations

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

Fields of papers citing papers by Krista Lagus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krista Lagus

This figure shows the co-authorship network connecting the top 25 collaborators of Krista Lagus. A scholar is included among the top collaborators of Krista Lagus 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 Krista Lagus. Krista Lagus 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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