F. Dehne

784 citations
43 papers · 541 · h-index 14

Impact in

Papers in

F. Dehne

41 papers receiving 495 citations

Peers

F. Dehne
Comparison fields: 5 of 77
  • Computer Graphics and Computer-Aided Design 77
  • Signal Processing 156
  • Hardware and Architecture 83
  • Computer Networks and Communications 232
  • Computer Vision and Pattern Recognition 130
Replace Deepak Ajwani with:
Deepak Ajwani Germany
Lev Nachmanson United States
Funda Ergün United States
Udi Manber United States
Massimo Maresca Italy
Janet Incerpi France
Octavian Procopiuc United States
Peter Emde Boas Netherlands
R. H. Perrott United Kingdom
Paolo Giulio Franciosa Italy
F. Dehne relative to Deepak Ajwani Germany Deepak Ajwani's profile →
Citations per field
00.5×1.5×2.3×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200849
2 200244
3 198742
4 200239
5 199733
6 200229
7 200327
8 200326
9 201423
10 199920
11 200219
12 200215
13 201314
14 198513
15 200411
16
Toolkit for Conceptual Modeling (TCM): User's Guide and Reference
199710
17 199810
18 200610
19 20239
20 20039

About F. Dehne

F. Dehne is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 43 papers that have together received 541 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Computational Geometry and Mesh Generation (11 papers), Advanced Database Systems and Queries (8 papers), Interconnection Networks and Systems (8 papers), Algorithms and Data Compression (7 papers), Advanced Data Storage Technologies (7 papers), Digital Image Processing Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (77 citations), Signal Processing (156 citations), Hardware and Architecture (83 citations), Computer Networks and Communications (232 citations) and Computer Vision and Pattern Recognition (130 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, Edson N. Cáceres, Rolf Klein, S. W. Song, Albert P.C. Chan, Alessandro Roncato, Alexandre Ferreira and Rui Zhou. Their work appears in journals such as Algorithmica, Journal of Parallel and Distributed Computing, Nature Communications, The Visual Computer and Information Systems.

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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