Frank Jensen

1.7k total citations
9 papers, 718 citations indexed

About

Frank Jensen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Frank Jensen has authored 9 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Frank Jensen's work include Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Frank Jensen is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Frank Jensen collaborates with scholars based in Denmark, Finland and Spain. Frank Jensen's co-authors include Finn V. Jensen, Stig Kjær Andersen, Kristian G. Olesen, Steffen L. Lauritzen, Anders L. Madsen, Uffe Kjærulff, Michael Lang, Steen Andreassen, Antonio Salmerón and Helge Langseth and has published in prestigious journals such as Knowledge-Based Systems, Statistics and Computing and Applied Artificial Intelligence.

In The Last Decade

Frank Jensen

9 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Jensen Denmark	8	531	129	95	72	69	9	718
Patrick Maupin Canada	12	470 0.9×	134 1.0×	46 0.5×	29 0.4×	61 0.9×	36	705
Balázs Feil Hungary	8	161 0.3×	43 0.3×	67 0.7×	93 1.3×	126 1.8×	13	529
Yang Xiang Canada	13	499 0.9×	167 1.3×	131 1.4×	16 0.2×	42 0.6×	59	614
Hanna Wasyluk Poland	7	168 0.3×	50 0.4×	22 0.2×	81 1.1×	35 0.5×	11	355
Victor L. Berardi United States	8	192 0.4×	153 1.2×	49 0.5×	52 0.7×	26 0.4×	16	536
Abe Mamdani United Kingdom	8	294 0.6×	54 0.4×	25 0.3×	39 0.5×	40 0.6×	15	428
Alexandra A. Vagis Ukraine	3	183 0.3×	48 0.4×	26 0.3×	29 0.4×	27 0.4×	11	342
Didier Dubois France	12	474 0.9×	489 3.8×	93 1.0×	52 0.7×	116 1.7×	17	996
Gerd Bohlender Germany	6	169 0.3×	358 2.8×	35 0.4×	52 0.7×	147 2.1×	16	644
Youlong Yang China	13	369 0.7×	163 1.3×	36 0.4×	10 0.1×	66 1.0×	68	713

Countries citing papers authored by Frank Jensen

Since Specialization

Citations

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

Fields of papers citing papers by Frank Jensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Jensen

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Madsen, Anders L., Frank Jensen, Antonio Salmerón, Helge Langseth, & Thomas D. Nielsen. (2016). A parallel algorithm for Bayesian network structure learning from large data sets. Knowledge-Based Systems. 117. 46–55. 61 indexed citations

2.

Jensen, Frank, Uffe Kjærulff, Michael Lang, & Anders L. Madsen. (2005). HUGIN - The Tool for Bayesian Networks and Influence Diagrams. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 212–221. 23 indexed citations

3.

Madsen, Anders L., Frank Jensen, Uffe Kjærulff, & Michael Lang. (2005). THE HUGIN TOOL FOR PROBABILISTIC GRAPHICAL MODELS. International Journal of Artificial Intelligence Tools. 14(3). 507–543. 70 indexed citations

4.

Lauritzen, Steffen L. & Frank Jensen. (2001). Stable local computation with conditional Gaussian distributions. Statistics and Computing. 11(2). 191–203. 163 indexed citations

5.

Jensen, Finn V., et al.. (1990). Analysis in HUGIN of data conflict. Uncertainty in Artificial Intelligence. 519–528. 34 indexed citations

6.

Andersen, Stig Kjær, Kristian G. Olesen, Finn V. Jensen, & Frank Jensen. (1989). HUGIN: a shell for building Bayesian belief universes for expert systems. VBN Forskningsportal (Aalborg Universitet). 1080–1085. 256 indexed citations

7.

Andersen, Stig Kjær, Kristian G. Olesen, Finn V. Jensen, & Frank Jensen. (1989). HUGIN - a Shell for Building Belief Universes for Expert Systems. VBN Forskningsportal (Aalborg Universitet). 1080–1085. 28 indexed citations

8.

Olesen, Kristian G., Frank Jensen, Finn V. Jensen, et al.. (1989). A MUNIN NETWORK FOR THE MEDIAN NERVE-A CASE STUDY ON LOOPS. Applied Artificial Intelligence. 3(2-3). 385–403. 82 indexed citations

9.

Jensen, Frank, et al.. (1988). Conjunctional type assignment in programming languages. 475–482. 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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