Nesli Erdoğmuş

906 citations
14 papers · 484 indexed · h-index 7
Topics
Face recognition and analysis (10 papers)Biometric Identification and Security (9 papers)Face and Expression Recognition (6 papers)

In The Last Decade

Nesli Erdoğmuş

11 papers receiving 456 citations

Peers

Nesli Erdoğmuş
Comparison fields: 5 of 47
  • Signal Processing 397
  • Computer Vision and Pattern Recognition 378
  • Information Systems 122
  • Biomedical Engineering 40
  • Genetics 24
Replace Brandon Victor with:
Brandon Victor Australia
Michael D. Indovina United States
Himanshu S. Bhatt India
Samarth Bharadwaj India
Robert Frischholz Germany
U. Dieckmann Germany
Gabriele Sabatino Italy
Abdallah Meraoumia Algeria
Raghavender Jillela United States
Pedro Tome Spain
Nesli Erdoğmuş relative to Brandon Victor Australia Brandon Victor's profile →
Citations per field
00.5×3.5×
Brandon Victor · 1×
Citations per year

Countries citing papers authored by Nesli Erdoğmuş

Since Specialization
Citations

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

Fields of papers citing papers by Nesli Erdoğmuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nesli Erdoğmuş

This figure shows the co-authorship network connecting the top 25 collaborators of Nesli Erdoğmuş. A scholar is included among the top collaborators of Nesli Erdoğmuş based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nesli Erdoğmuş. Nesli Erdoğmuş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3
Impact of variations in synthetic training data on fingerprint classification
1
4 0
5 3
6 11
7 198
8 205
9
Spoofing 2D face recognition systems with 3D masks
29
10
Spoofing Attacks To 2D Face Recognition Systems With 3D Masks
8
11 6
12 17
13 4
14 2

About Nesli Erdoğmuş

Nesli Erdoğmuş is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 14 papers that have together received 484 indexed citations. Recurring topics across this work include Face recognition and analysis (10 papers), Biometric Identification and Security (9 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Signal Processing (397 citations), Computer Vision and Pattern Recognition (378 citations) and Information Systems (122 citations). Nesli Erdoğmuş has collaborated with scholars based in Switzerland, France and Türkiye. Frequent co-authors include Sébastien Marcel, Jean‐Luc Dugelay, Antitza Dantcheva, Neslihan Köse, Mustafa Özuysal and Mete Akgün. Their work appears in journals such as Bioinformatics, IEEE Access and IEEE Transactions on Information Forensics and Security.

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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