M. Pellkofer

769 citations
10 papers · 527 indexed · h-index 9

M. Pellkofer

10 papers receiving 481 citations

Peers

M. Pellkofer
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 402
  • Media Technology 158
  • Automotive Engineering 179
  • Human-Computer Interaction 42
  • Safety, Risk, Reliability and Quality 29
Replace Miguel Ángel García-Garrido with:
Miguel Ángel García-Garrido Spain
Mario Ortí Mata Spain
Pier Paolo Porta Italy
Pedro Revenga Spain
Marius Zöllner Germany
I. Masaki United States
Carla Maria Modena Italy
Dennis Nienhüser Germany
Takashi Naito Japan
Junfan Wang China
M. Pellkofer relative to Miguel Ángel García-Garrido Spain Miguel Ángel García-Garrido's profile →
Citations per field
00.5×1.6×
Miguel Ángel García-Garrido · 1×
Citations per year

Countries citing papers authored by M. Pellkofer

Since Specialization
Citations

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

Fields of papers citing papers by M. Pellkofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside M. Pellkofer, 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 M. Pellkofer Line = papers co-authored together M. Pellkofer links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20089
2 200655
3 2005313
4 200519
5 200510
6 200316
7 200220
8 200218
9 200264
10 20013

About M. Pellkofer

M. Pellkofer is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology and Control and Systems Engineering, having authored 10 papers that have together received 527 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), Robotic Path Planning Algorithms (3 papers), Advanced Control Systems Optimization (1 paper), Handwritten Text Recognition Techniques (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Smart Parking Systems Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (402 citations), Media Technology (158 citations), Automotive Engineering (179 citations), Human-Computer Interaction (42 citations) and Safety, Risk, Reliability and Quality (29 citations). M. Pellkofer has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas Kœhler, Visvanathan Ramesh, Claus Bahlmann, Yingying Zhu, Ernst D. Dickmanns, Dorin Comaniciu, Ying Zhu, Ying Zhu, J. Giebel and Gregory Baratoff. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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