F. Dehne

814 citations
36 papers · 422 · h-index 12

Impact in

Papers in

F. Dehne

34 papers receiving 382 citations

Peers

F. Dehne
Comparison fields: 5 of 73
  • Computer Graphics and Computer-Aided Design 54
  • Signal Processing 123
  • Hardware and Architecture 59
  • Computer Networks and Communications 182
  • Computer Vision and Pattern Recognition 104
Replace Tadao Takaoka with:
Tadao Takaoka New Zealand
Massimo Maresca Italy
Oren Weimann Israel
Deepak Ajwani Ireland
Janet Incerpi France
R. H. Perrott United Kingdom
Robert Wilber United States
Bettina Messmer Switzerland
H.-W. Six Germany
John W. Williams United States
F. Dehne relative to Tadao Takaoka New Zealand Tadao Takaoka's profile →
Citations per field
00.5×2.7×
Tadao Takaoka · 1×
Citations per year

Countries citing papers authored by F. Dehne

Since Specialization
Citations

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

Fields of papers citing papers by F. Dehne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Dehne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Dehne Line = papers co-authored together F. Dehne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200847
2 200236
3 198734
4 200232
5 199726
6 200224
7 200321
8 199620
9 201419
10 200216
11 199914
12 200213
13 200411
14 20239
15 20069
16 20039
17
Toolkit for Conceptual Modeling (TCM): User's Guide and Reference
19978
18 20138
19 19857
20 19917

About F. Dehne

F. Dehne is a scholar working on Computer Networks and Communications, Signal Processing, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computational Theory and Mathematics, having authored 36 papers that have together received 422 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Computational Geometry and Mesh Generation (9 papers), Advanced Database Systems and Queries (8 papers), Interconnection Networks and Systems (7 papers), Advanced Data Storage Technologies (6 papers), Digital Image Processing Techniques (5 papers), Algorithms and Data Compression (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (54 citations), Signal Processing (123 citations), Hardware and Architecture (59 citations), Computer Networks and Communications (182 citations) and Computer Vision and Pattern Recognition (104 citations). F. Dehne has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Andrew Rau‐Chaplin, Hartmut Noltemeier, Todd Eavis, Rolf Klein, Edson N. Cáceres, Albert P.C. Chan, Alexandre Ferreira, Alessandro Roncato, S. W. Song and Matthew Jessulat. Their work appears in journals such as Algorithmica, Journal of Parallel and Distributed Computing, The Visual Computer, Theory of Computing Systems and Nature Communications.

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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