Peter Wild

1.5k citations
41 papers · 698 indexed · h-index 15

Peter Wild

38 papers receiving 664 citations

Peers

Peter Wild
Comparison fields: 5 of 81
  • Signal Processing 568
  • Computer Vision and Pattern Recognition 360
  • Information Systems 250
  • Safety Research 87
  • Transportation 49
Replace Akanksha Joshi with:
Akanksha Joshi India
Oscar Miguel‐Hurtado Spain
Umarani Jayaraman India
Aditya Ramesh United States
Maleika Heenaye-Mamode Khan Mauritius
Daniela Moctezuma Mexico
Jiyi Li Japan
Wang Xin-xi China
Jeffrey Edgington United States
Diaa Uliyan Jordan
Peter Wild relative to Akanksha Joshi India Akanksha Joshi's profile →
Citations per field
00.5×8.1×
Akanksha Joshi · 1×
Citations per year

Countries citing papers authored by Peter Wild

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201726
2 20163
3 20158
4 201548
5 20143
6
Experimental evidence of ageing in hand biometrics
201312
7
Image metric-based biometric comparators: A supplement to feature vector-based Hamming distance?
20123
8
Iris Recognition: From Segmentation to Template Security
201247
9 201237
10 20117
11 201016
12 20106
13 200921
14 200911
15 200056
16
The Opal Desert: Explorations of Fantasy and Reality in the American Southwest
19992
17 19983
18
Die jüdische Kunst
19971
19 19910
20 19900

About Peter Wild

Peter Wild is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Safety Research, Information Systems and Human-Computer Interaction, having authored 41 papers that have together received 698 indexed citations. Recurring topics across this work include Biometric Identification and Security (27 papers), User Authentication and Security Systems (13 papers), Forensic Fingerprint Detection Methods (5 papers), Forensic and Genetic Research (4 papers), Image and Object Detection Techniques (4 papers), Remote Sensing and LiDAR Applications (3 papers), Handwritten Text Recognition Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Signal Processing (568 citations), Computer Vision and Pattern Recognition (360 citations), Information Systems (250 citations), Safety Research (87 citations) and Transportation (49 citations). Peter Wild has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Andreas Uhl, Christian Rathgeb, James Ferryman, John A. Dearing, Heinz Hofbauer, Josef Bigün, Fernando Alonso‐Fernandez, Lulu Chen, Emanuela Marasco and Bojan Čukić. Their work appears in journals such as Western American literature, Maritime Policy & Management, Designs Codes and Cryptography, Rhetoric Review and Pattern Recognition.

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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