Julian Keil

2.7k total citations
71 papers, 1.3k citations indexed

About

Julian Keil is a scholar working on Automotive Engineering, Computer Graphics and Computer-Aided Design and Geography, Planning and Development. According to data from OpenAlex, Julian Keil has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 20 papers in Computer Graphics and Computer-Aided Design and 20 papers in Geography, Planning and Development. Recurrent topics in Julian Keil's work include Spatial Cognition and Navigation (20 papers), Computational Geometry and Mesh Generation (20 papers) and Geographic Information Systems Studies (19 papers). Julian Keil is often cited by papers focused on Spatial Cognition and Navigation (20 papers), Computational Geometry and Mesh Generation (20 papers) and Geographic Information Systems Studies (19 papers). Julian Keil collaborates with scholars based in Germany, Canada and United States. Julian Keil's co-authors include Frank Dickmann, Dennis Edler, Carl Gutwin, Martin Farber, Lars Kuchinke, Olaf Kühne, Thomas Schmitt, Derek G. Corneil, Lorna Stewart and D. Pradhan and has published in prestigious journals such as PLoS ONE, Journal of Environmental Psychology and SIAM Journal on Computing.

In The Last Decade

Julian Keil

68 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
Julian Keil Germany 21 398 354 353 251 182 71 1.3k
Alexander Wolff Germany 17 84 0.2× 332 0.9× 385 1.1× 116 0.5× 261 1.4× 75 865
Thomas Strothotte Germany 24 52 0.1× 933 2.6× 1.2k 3.3× 77 0.3× 41 0.2× 92 2.0k
Denis Gračanin United States 20 63 0.2× 86 0.2× 524 1.5× 272 1.1× 14 0.1× 175 1.4k
Christophe Hurter France 21 85 0.2× 147 0.4× 966 2.7× 32 0.1× 195 1.1× 77 1.5k
Huub van de Wetering Netherlands 14 38 0.1× 72 0.2× 827 2.3× 55 0.2× 160 0.9× 47 1.2k
Tokiichiro Takahashi Japan 13 27 0.1× 731 2.1× 764 2.2× 92 0.4× 14 0.1× 83 1.4k
In‐Kwon Lee South Korea 18 52 0.1× 337 1.0× 734 2.1× 24 0.1× 4 0.0× 105 1.5k
Guanghong Gong China 15 42 0.1× 34 0.1× 118 0.3× 58 0.2× 12 0.1× 109 791
Joaquim Madeira Portugal 13 25 0.1× 97 0.3× 300 0.8× 34 0.1× 6 0.0× 36 767
Oliver Staadt United States 19 15 0.0× 527 1.5× 947 2.7× 81 0.3× 12 0.1× 77 1.5k

Countries citing papers authored by Julian Keil

Since Specialization
Citations

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

Fields of papers citing papers by Julian Keil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Keil

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Keil. A scholar is included among the top collaborators of Julian Keil 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 Julian Keil. Julian Keil 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.
Keil, Julian, et al.. (2025). A New AI Tool for the Design of Cartographic Pictograms (PictoAI) and Its Potentials for Increasing Their Meaningfulness. KN - Journal of Cartography and Geographic Information. 75(1). 23–35. 1 indexed citations
2.
Dickmann, Frank, et al.. (2024). Improved Navigation Performance Through Memory Triggering Maps: A Neurocartographic Approach. KN - Journal of Cartography and Geographic Information. 74(3-4). 251–266. 2 indexed citations
3.
Edler, Dennis, et al.. (2024). PictoAI: Increasing the Meaningfulness of Cartographic Pictograms Using Artificial Intelligence?. Abstracts of the ICA. 7. 1–2. 1 indexed citations
4.
Keil, Julian, et al.. (2024). How to visualize the spatial uncertainty of landmark representations in maps?. Journal of Environmental Psychology. 99. 102441–102441. 2 indexed citations
5.
Keil, Julian, et al.. (2023). The Impact of the Landmark Attraction Effect and Central Tendency Bias on Spatial Memory Distortions. KN - Journal of Cartography and Geographic Information. 73(3). 211–224. 1 indexed citations
6.
Durocher, Stéphane, et al.. (2019). Polygon simplification by minimizing convex corners. Theoretical Computer Science. 791. 76–86. 2 indexed citations
7.
Keil, Julian, Dennis Edler, Frank Dickmann, & Lars Kuchinke. (2018). Meaningfulness of landmark pictograms reduces visual salience and recognition performance. Applied Ergonomics. 75. 214–220. 24 indexed citations
8.
Edler, Dennis, et al.. (2018). Searching for the ‘Right’ Legend: The Impact of Legend Position on Legend Decoding in a Cartographic Memory Task. The Cartographic Journal. 57(1). 6–17. 26 indexed citations
9.
Edler, Dennis, et al.. (2018). Virtual Reality (VR) and Open Source Software: A Workflow for Constructing an Interactive Cartographic VR Environment to Explore Urban Landscapes. KN - Journal of Cartography and Geographic Information. 68(1). 5–13. 40 indexed citations
10.
Keil, Julian & D. Pradhan. (2013). Computing a minimum outer-connected dominating set for the class of chordal graphs. Information Processing Letters. 113(14-16). 552–561. 9 indexed citations
11.
Keil, Julian, et al.. (2009). The Bichromatic Rectangle Problem in High Dimensions.. Canadian Conference on Computational Geometry. 157–160. 6 indexed citations
12.
Keil, Julian, et al.. (2006). Algorithms for optimal area triangulations of a convex polygon. Computational Geometry. 35(3). 173–187. 10 indexed citations
13.
Keil, Julian & Lorna Stewart. (2006). Approximating the minimum clique cover and other hard problems in subtree filament graphs. Discrete Applied Mathematics. 154(14). 1983–1995. 16 indexed citations
14.
Keil, Julian, et al.. (2003). An Algorithm for the MaxMin Area Triangulation of a Convex Polygon. Canadian Conference on Computational Geometry. 145–149. 4 indexed citations
15.
Keil, Julian, et al.. (2003). Computing a (1+ε)-Approximate Geometric Minimum-Diameter Spanning Tree. Algorithmica. 38(4). 577–589. 7 indexed citations
16.
Keil, Julian & Jack Snoeyink. (1998). On the time bound for convex decomposition of simple polygons.. Canadian Conference on Computational Geometry. 40(3). 323–330. 11 indexed citations
17.
ElGindy, Hossam & Julian Keil. (1992). Efficient Algorithms for the Capacitated 1-Median Problem. INFORMS Journal on Computing. 4(4). 418–425. 6 indexed citations
18.
Keil, Julian. (1992). On the complexity of scheduling tasks with discrete starting times. Operations Research Letters. 12(5). 293–295. 22 indexed citations
19.
Keil, Julian, et al.. (1989). Polynomial algorithms for restricted Euclidean p-centre problems. Discrete Applied Mathematics. 23(1). 25–31. 2 indexed citations
20.
Keil, Julian. (1985). Finding Hamiltonian circuits in interval graphs. Information Processing Letters. 20(4). 201–206. 81 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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