Daniel Asimov

1.1k citations
14 papers · 576 · h-index 6

Impact in

Papers in

Daniel Asimov

12 papers receiving 475 citations

Peers

Daniel Asimov
Comparison fields: 5 of 88
  • Computer Graphics and Computer-Aided Design 69
  • Computer Vision and Pattern Recognition 250
  • Signal Processing 103
  • Mathematical Physics 85
  • Geometry and Topology 81
Replace Stefan Felsner with:
Stefan Felsner Germany
N. C. Wormald Australia
Michael Joswig Germany
R. F. Churchhouse United Kingdom
László Tóth Hungary
Daniel Štefankovič United States
Robert A. Sulanke United States
N. Sauer Canada
Harald Luschgy Germany
Prasoon Tiwari United States
Daniel Asimov relative to Stefan Felsner Germany Stefan Felsner's profile →
Citations per field
00.5×1.5×1.8×
Stefan Felsner · 1×
Citations per year

Countries citing papers authored by Daniel Asimov

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Asimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Daniel Asimov, 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 Daniel Asimov Line = papers co-authored together Daniel Asimov links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1985372
2 197574
3
Grand tour methods: an outline
198652
4
Notes on the Topology of Vector Fields and Flows
200325
5 197821
6 197511
7 20084
8
The Grand Tour via Geodesic Interpolation of 2-frames
19944
9 19774
10 19763
11 19762
12 19942
13 19961
14 19751

About Daniel Asimov

Daniel Asimov is a scholar working on Mathematical Physics, Geometry and Topology, Computer Graphics and Computer-Aided Design, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 576 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (4 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Quantum chaos and dynamical systems (2 papers), Computer Graphics and Visualization Techniques (2 papers), Computational Geometry and Mesh Generation (1 paper), Geometric Analysis and Curvature Flows (1 paper), Mathematical and Theoretical Analysis (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (69 citations), Computer Vision and Pattern Recognition (250 citations), Signal Processing (103 citations), Mathematical Physics (85 citations) and Geometry and Topology (81 citations). Daniel Asimov has collaborated with scholars based in United States and Canada. Frequent co-authors include Andreas Buja and Joseph L. Gerver. Their work appears in journals such as Annals of Mathematics, Bulletin of the American Mathematical Society, Transactions of the American Mathematical Society, Geometriae Dedicata and Commentarii Mathematici Helvetici.

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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