Daniel Filip

1.1k citations
8 papers · 854 · 1 hit paper · h-index 6

Impact in

Papers in

Daniel Filip

8 papers receiving 791 citations

Daniel Filip's Hit Papers

Google Street View: Capturing the World at Street Level 2010 · 571 citations
5710+5+10Years since publication100200300400500

Peers

Daniel Filip
Comparison fields: 5 of 96
  • Computer Graphics and Computer-Aided Design 220
  • Computer Vision and Pattern Recognition 311
  • Geology 74
  • Computational Mechanics 251
  • Transportation 70
Replace Lorenzo Porzi with:
Lorenzo Porzi Italy
José P. Suárez Spain
Carlos A. Vanegas United States
Stefan Jeschke Austria
Tim Tutenel Netherlands
R.M. Smelik Netherlands
Matthias Trapp Germany
A. M. Day United Kingdom
Ali Mahdavi‐Amiri Canada
Agustín Trujillo Spain
Daniel Filip relative to Lorenzo Porzi Italy Lorenzo Porzi's profile →
Citations per field
00.5×1.5×2.0×
Lorenzo Porzi · 1×
Citations per year

Countries citing papers authored by Daniel Filip

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Filip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Filip, 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 Filip Line = papers co-authored together Daniel Filip links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Google Street View: Capturing the World at Street Level
Hit paper breakdown →
2010571
2 1986175
3 198941
4 198728
5 198917
6 198615
7 20124
8 19903

About Daniel Filip

Daniel Filip is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 854 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Tribology and Lubrication Engineering (3 papers), Robotic Mechanisms and Dynamics (2 papers), Manufacturing Process and Optimization (2 papers), Advanced Vision and Imaging (2 papers), 3D Shape Modeling and Analysis (2 papers), Computational Geometry and Mesh Generation (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (220 citations), Computer Vision and Pattern Recognition (311 citations), Geology (74 citations), Computational Mechanics (251 citations) and Transportation (70 citations). Daniel Filip has collaborated with scholars based in United States and South Korea. Frequent co-authors include Luc Vincent, Carole Dulong, Richard F. Lyon, Abhijit S. Ogale, Christian Frueh, Dragomir Anguelov, Stéphane Lafon, Ronald Goldman, Jean-Yves Bouguet and Jongwoo Lim. Their work appears in journals such as Computer-Aided Design, Computer Aided Geometric Design, IEEE Computer Graphics and Applications, ACM Transactions on Graphics and 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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