F. Dehne

784 citations
35 papers · 404 · h-index 12

Impact in

Papers in

F. Dehne

33 papers receiving 365 citations

Peers

F. Dehne
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 51
  • Signal Processing 121
  • Computer Networks and Communications 171
  • Hardware and Architecture 50
  • Computer Vision and Pattern Recognition 101
Replace Deepak Ajwani with:
Deepak Ajwani Ireland
Tadao Takaoka New Zealand
Oren Weimann Israel
Peter Emde Boas Netherlands
Bettina Messmer Switzerland
S. S. Yau United States
Robert Wilber United States
Francisco Claude Chile
John W. Williams United States
Hsueh-I Lu Taiwan
F. Dehne relative to Deepak Ajwani Ireland Deepak Ajwani's profile →
Citations per field
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Deepak Ajwani · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200848
2 200236
3 198734
4 200232
5 199726
6 200224
7 200321
8 201420
9 200216
10 199914
11 200213
12 200411
13 20239
14 20069
15 20039
16
Toolkit for Conceptual Modeling (TCM): User's Guide and Reference
19978
17 20138
18 19917
19 19857
20 20056

About F. Dehne

F. Dehne is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 35 papers that have together received 404 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (8 papers), Computational Geometry and Mesh Generation (8 papers), Interconnection Networks and Systems (7 papers), Advanced Data Storage Technologies (6 papers), Algorithms and Data Compression (5 papers), Digital Image Processing Techniques (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Signal Processing (121 citations), Computer Networks and Communications (171 citations), Hardware and Architecture (50 citations) and Computer Vision and Pattern Recognition (101 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, Alessandro Roncato, Alexandre Ferreira, S. W. Song and Rui Zhou. Their work appears in journals such as Algorithmica, Journal of Parallel and Distributed Computing, Nature Communications, Theory of Computing Systems and The Visual Computer.

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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