Mikael Kågebäck

17 total papers · 420 total citations
6 papers, 148 citations indexed

About

Mikael Kågebäck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Mikael Kågebäck has authored 6 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Mikael Kågebäck's work include Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (3 papers). Mikael Kågebäck is often cited by papers focused on Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (3 papers). Mikael Kågebäck collaborates with scholars based in Sweden and Germany. Mikael Kågebäck's co-authors include Devdatt Dubhashi, Olof Mogren, Nina Tahmasebi, Fredrik Johansson, Richard Johansson, Emil Carlsson, Asad Sayeed, Lars Borin, Pierre Nugues and Markus Forsberg and has published in prestigious journals such as PLoS ONE, International Journal on Digital Libraries and Chalmers Publication Library (Chalmers University of Technology).

In The Last Decade

Mikael Kågebäck

6 papers receiving 135 citations

Author Peers

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

Author Last Decade Papers Cites
Mikael Kågebäck 133 14 10 8 5 6 148
Ioannis P. Klapaftis 182 1.4× 10 0.7× 9 0.9× 9 1.1× 3 0.6× 11 184
Lorna Balkan 228 1.7× 31 2.2× 7 0.7× 11 1.4× 2 0.4× 12 267
Daniela Gerz 180 1.4× 10 0.7× 32 3.2× 5 0.6× 6 1.2× 8 190
Hugo Hernault 168 1.3× 11 0.8× 12 1.2× 9 1.1× 7 174
Hagen Fürstenau 233 1.8× 17 1.2× 23 2.3× 19 2.4× 3 0.6× 9 244
S. P. Harrison 183 1.4× 16 1.1× 4 0.4× 5 0.6× 4 0.8× 4 221
Miruna Clinciu 103 0.8× 14 1.0× 14 1.4× 6 0.8× 1 0.2× 8 122
Chi Sun 256 1.9× 18 1.3× 23 2.3× 11 1.4× 3 0.6× 10 291
Katherine A. Keith 98 0.7× 14 1.0× 20 2.0× 7 0.9× 9 242
Yew Ken Chia 175 1.3× 21 1.5× 14 1.4× 4 0.5× 11 193

Countries citing papers authored by Mikael Kågebäck

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Kågebäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikael Kågebäck

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026