Fredrik Johansson

5.0k total citations
59 papers, 1.2k citations indexed

About

Fredrik Johansson is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Fredrik Johansson has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Aerospace Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Fredrik Johansson's work include Military Defense Systems Analysis (7 papers), Military Strategy and Technology (7 papers) and Rheumatoid Arthritis Research and Therapies (6 papers). Fredrik Johansson is often cited by papers focused on Military Defense Systems Analysis (7 papers), Military Strategy and Technology (7 papers) and Rheumatoid Arthritis Research and Therapies (6 papers). Fredrik Johansson collaborates with scholars based in Sweden, United States and Austria. Fredrik Johansson's co-authors include Nils M. Kriege, Christopher Morris, Martin Kanje, Patrick Carlberg, Lars Montelius, Nils Danielsen, David Sontag, Göran Falkman, Devdatt Dubhashi and Omer Gottesman and has published in prestigious journals such as Nature Medicine, PLoS ONE and The Plant Cell.

In The Last Decade

Fredrik Johansson

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fredrik Johansson Sweden 16 379 194 170 146 91 59 1.2k
Xinmei Wang China 23 393 1.0× 136 0.7× 32 0.2× 170 1.2× 107 1.2× 174 1.5k
Judith E. Dayhoff United States 13 213 0.6× 57 0.3× 127 0.7× 143 1.0× 46 0.5× 43 880
Yuanyuan Li China 22 308 0.8× 145 0.7× 43 0.3× 147 1.0× 78 0.9× 134 1.6k
Chengjin Zhang China 24 166 0.4× 120 0.6× 39 0.2× 519 3.6× 197 2.2× 144 1.9k
Fei Zhu China 18 371 1.0× 117 0.6× 296 1.7× 621 4.3× 104 1.1× 97 1.7k
M. Egmont‐Petersen Netherlands 15 348 0.9× 130 0.7× 33 0.2× 482 3.3× 400 4.4× 29 1.8k
Nikhil Rao United States 17 314 0.8× 262 1.4× 55 0.3× 132 0.9× 157 1.7× 63 1.3k
Sohan Seth United States 18 521 1.4× 233 1.2× 105 0.6× 174 1.2× 335 3.7× 72 1.9k
Simone Sharma United Kingdom 7 227 0.6× 53 0.3× 76 0.4× 128 0.9× 88 1.0× 7 1.1k
Cheng-Hung Chen Taiwan 20 547 1.4× 147 0.8× 47 0.3× 56 0.4× 92 1.0× 90 1.3k

Countries citing papers authored by Fredrik Johansson

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Johansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Johansson

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

All Works

20 of 20 papers shown
1.
Johansson, Fredrik, et al.. (2025). Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers. Fluids and Barriers of the CNS. 22(1). 23–23. 1 indexed citations
2.
3.
Panahi, Ashkan, et al.. (2023). Sharing Pattern Submodels for Prediction with Missing Values. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9882–9890. 2 indexed citations
4.
5.
Gustafsson, Ulf, et al.. (2022). Effect of age on quality of life after gastric bypass: data from the Scandinavian Obesity Surgery Registry. Surgery for Obesity and Related Diseases. 18(11). 1313–1322. 4 indexed citations
6.
Johansson, Ulrica Englund, et al.. (2022). Spontaneous Cell Cluster Formation in Human iPSC-Derived Neuronal Spheroid Networks Influences Network Activity. eNeuro. 9(5). ENEURO.0143–22.2022. 2 indexed citations
7.
Ring, Eva, et al.. (2021). A guide to using wet area maps in forestry. Jukuri (Luonnonvarakeskus Tietopalvelu). 3 indexed citations
8.
Johansson, Fredrik, Jamie E. Collins, Vincent Yau, et al.. (2021). Predicting Response to Tocilizumab Monotherapy in Rheumatoid Arthritis: A Real-world Data Analysis Using Machine Learning. The Journal of Rheumatology. 48(9). 1364–1370. 21 indexed citations
9.
Gottesman, Omer, et al.. (2020). Learning to search efficiently for causally near-optimal treatments. Chalmers Research (Chalmers University of Technology). 33. 1333–1344. 1 indexed citations
10.
Collins, Jamie E., Fredrik Johansson, Sara Gale, et al.. (2020). Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score Development. ACR Open Rheumatology. 2(2). 65–73. 10 indexed citations
11.
Kriege, Nils M., Fredrik Johansson, & Christopher Morris. (2020). A survey on graph kernels. Applied Network Science. 5(1). 202 indexed citations
12.
Johansson, Fredrik. (2019). Computing Hypergeometric Functions Rigorously. ACM Transactions on Mathematical Software. 45(3). 1–26. 1 indexed citations
13.
Chen, Irene Y., Fredrik Johansson, & David Sontag. (2018). Why Is My Classifier Discriminatory. Chalmers Research (Chalmers University of Technology). 31. 3543–3554. 25 indexed citations
14.
Gottesman, Omer, Fredrik Johansson, Matthieu Komorowski, et al.. (2018). Guidelines for reinforcement learning in healthcare. Nature Medicine. 25(1). 16–18. 177 indexed citations
15.
Panahi, Ashkan, Devdatt Dubhashi, Fredrik Johansson, & Chiranjib Bhattacharyya. (2017). Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. Chalmers Research (Chalmers University of Technology). 70. 2769–2777. 14 indexed citations
16.
Johansson, Fredrik, et al.. (2014). Global graph kernels using geometric embeddings. Chalmers Research (Chalmers University of Technology). 694–702. 25 indexed citations
17.
Rajendran, Karthik, Solmaz Aslanzadeh, Fredrik Johansson, & Mohammad J. Taherzadeh. (2013). Experimental and economical evaluation of a novel biogas digester. Energy Conversion and Management. 74. 183–191. 50 indexed citations
18.
Niklasson, Lars, et al.. (2008). Extending the scope of situation analysis. International Conference on Information Fusion. 1–8. 9 indexed citations
19.
Johansson, Fredrik & Göran Falkman. (2008). A Bayesian network approach to threat evaluation with application to an air defense scenario. International Conference on Information Fusion. 1–7. 42 indexed citations
20.
Riveiro, Maria, Fredrik Johansson, Göran Falkman, & Tom Ziemke. (2008). Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models. 84–91. 12 indexed citations

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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Breakdown of academic impact, for papers by Xinmei Wang Breakdown of academic impact, for papers by Judith E. Dayhoff Breakdown of academic impact, for papers by Yuanyuan Li Breakdown of academic impact, for papers by Chengjin Zhang Breakdown of academic impact, for papers by Fei Zhu Breakdown of academic impact, for papers by M. Egmont‐Petersen Breakdown of academic impact, for papers by Nikhil Rao Breakdown of academic impact, for papers by Sohan Seth Breakdown of academic impact, for papers by Simone Sharma Breakdown of academic impact, for papers by Cheng-Hung Chen
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