Göran Falkman

2.2k total citations
76 papers, 1.4k citations indexed

About

Göran Falkman is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Göran Falkman has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 18 papers in Social Psychology and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Göran Falkman's work include Anomaly Detection Techniques and Applications (18 papers), Human-Automation Interaction and Safety (17 papers) and Data Visualization and Analytics (14 papers). Göran Falkman is often cited by papers focused on Anomaly Detection Techniques and Applications (18 papers), Human-Automation Interaction and Safety (17 papers) and Data Visualization and Analytics (14 papers). Göran Falkman collaborates with scholars based in Sweden and Switzerland. Göran Falkman's co-authors include Rikard Laxhammar, Maria Riveiro, Tove Helldin, Alexander Karlsson, Fredrik Johansson, Tom Ziemke, Gunnar Mathiason, Niclas Ståhl, Fredrik Johansson and Jonas Boström and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and Journal of Medical Internet Research.

In The Last Decade

Göran Falkman

68 papers receiving 1.3k citations

Peers

Göran Falkman

CVPR

Mieczyslaw M. Kokar United States

Zaher Al Aghbari United Arab Emirates

Beakcheol Jang South Korea

Muhammad Rizwan Pakistan

Stefania Bandini Italy

Nemanja Djuric United States

Stefano V. Albrecht United Kingdom

Mabrook Al‐Rakhami Saudi Arabia

Laura García‐Hernández Spain

Carlos Cotta Spain

Mieczyslaw M. Kokar United States

Göran Falkman

982 ×1.8

130 ×0.5

73 ×0.4

219 ×1.1

CVPR

135 ×0.8

Citations per year, relative to Göran Falkman Göran Falkman (= 1×) peers Mieczyslaw M. Kokar

Countries citing papers authored by Göran Falkman

Since Specialization

Citations

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

Fields of papers citing papers by Göran Falkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Göran Falkman

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

All Works

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20 of 20 papers shown

Karlsson, Alexander, et al.. (2024). Designing deep neural networks for driver intention recognition. Engineering Applications of Artificial Intelligence. 139. 109574–109574. 2 indexed citations

Karlsson, Alexander, et al.. (2023). Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. University Library of Skövde (University of Skövde). 1 indexed citations

Ståhl, Niclas, Gunnar Mathiason, Göran Falkman, & Alexander Karlsson. (2019). Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling. Applied Mathematical Modelling. 70. 365–377. 29 indexed citations

Riveiro, Maria, Tove Helldin, Mikael Lebram, & Göran Falkman. (2013). Towards future threat evaluation systems: User study, proposal and precepts for design. International Conference on Information Fusion. 1863–1870. 8 indexed citations

Laxhammar, Rikard & Göran Falkman. (2013). Online Learning and Sequential Anomaly Detection in Trajectories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(6). 1158–1173. 140 indexed citations

Laxhammar, Rikard & Göran Falkman. (2011). Sequential Conformal Anomaly Detection in trajectories based on Hausdorff distance. International Conference on Information Fusion. 1–8. 38 indexed citations

Johansson, Fredrik & Göran Falkman. (2011). Real-time Allocation of Firing Units To Hostile Targets. 6(2). 187–199. 14 indexed citations

Helldin, Tove, et al.. (2010). Information fusion supporting team situation awareness for future fighting aircraft. 1–8. 11 indexed citations

Niklasson, Lars, et al.. (2009). A component-based simulator for supporting research on situation recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7352. 735206–735206. 2 indexed citations

10.

Riveiro, Maria, Göran Falkman, & Tom Ziemke. (2008). Improving maritime anomaly detection and situation awareness through interactive visualization. International Conference on Information Fusion. 1–8. 53 indexed citations

11.

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

12.

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

13.

Niklasson, Lars, et al.. (2008). Extending the scope of situation analysis. International Conference on Information Fusion. 1–8. 9 indexed citations

14.

Anwer, Rao Muhammad, et al.. (2008). Data Mining In Oral Medicine Using Decision Trees. Zenodo (CERN European Organization for Nuclear Research). 2(1). 113–118. 12 indexed citations

15.

Falkman, Göran, et al.. (2007). Modeling Contexts of Knowledge Sharing in an Online Community for Oral Medicine. Chalmers Publication Library (Chalmers University of Technology). 3 indexed citations

16.

Falkman, Göran, et al.. (2007). Experiences in Modeling Clinical Examinations in Oral Medicine Using OWL. Chalmers Publication Library (Chalmers University of Technology). 1–10. 3 indexed citations

17.

Falkman, Göran, et al.. (2007). Towards pragmatic patterns for clinical knowledge management. 65–74. 3 indexed citations

18.

Falkman, Göran. (2000). SimVis. 319–320. 2 indexed citations

19.

Falkman, Göran. (1996). Definitional program separation. Chalmers Research (Chalmers University of Technology). 1 indexed citations

20.

Falkman, Göran, Lars Hallnäs, & Olof Torgersson. (1994). Program Separation in GCLA.. International Conference on Lightning Protection. 1 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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