Davi Geiger

3.7k citations
92 papers · 2.9k · h-index 24

Impact in

Papers in

    • Medical Image Segmentation Techniques 28
    • Advanced Vision and Imaging 27
    • Advanced Image and Video Retrieval Techniques 13
    • Image Retrieval and Classification Techniques 13
    • Image and Object Detection Techniques 10
    • Sparse and Compressive Sensing Techniques 7

Davi Geiger

89 papers receiving 2.7k citations

Peers

Davi Geiger
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 2.3k
  • Computer Graphics and Computer-Aided Design 201
  • Media Technology 307
  • Biophysics 102
  • Signal Processing 165
Replace Song Chun Zhu with:
Song Chun Zhu United States
Alex Bronstein Israel
Y.Y. Zeevi Israel
A. Blake United Kingdom
P. Anandan United States
Thomas O. Binford United States
Michael Lindenbaum Israel
Hans-Hellmut Nagel Germany
Georgios Tziritas Greece
Β.N. Chatterji India
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Citations per field
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Citations per year

Countries citing papers authored by Davi Geiger

Since Specialization
Citations

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

Fields of papers citing papers by Davi Geiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davi Geiger, 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 Davi Geiger Line = papers co-authored together Davi Geiger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991371
2 1995355
3 1992213
4 1998183
5 1998152
6 1991148
7 1995137
8 1999109
9 2002104
10 199189
11 199887
12 199076
13 200360
14 199946
15 198934
16 197433
17 200232
18 200230
19 199628
20
Global optimization using embedded graphs
200028

About Davi Geiger

Davi Geiger is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Cognitive Neuroscience, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 92 papers that have together received 2.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (28 papers), Advanced Vision and Imaging (27 papers), Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers), Visual perception and processing mechanisms (12 papers), Image and Object Detection Techniques (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Computer Graphics and Computer-Aided Design (201 citations), Media Technology (307 citations), Biophysics (102 citations) and Signal Processing (165 citations). Davi Geiger has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Alan Yuille, Federico Girosi, Hiroshi Ishikawa, Bruce Ladendorf, Tyng-Luh Liu, Luís Augusto Nagasaki Costa, Alok Gupta, J.A. Vlontzos, Ronen Basri and David Jacobs. Their work appears in journals such as Network Computation in Neural Systems, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vision Research and Lecture notes in computer science.

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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