Elham Tabassi

30 papers receiving 550 citations

Peers

Elham Tabassi
Comparison fields: 5 of 65
  • Signal Processing 441
  • Safety Research 132
  • Computer Vision and Pattern Recognition 336
  • Information Systems 127
  • Artificial Intelligence 87
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Neil Yager Australia
Meltem Demirkus Canada
Y.S. Moon Hong Kong
Sunpreet S. Arora United States
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Arun Ross United States
Emanuela Marasco United States
Ricardo Serras Santos Portugal
Xianchao Qiu China
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Countries citing papers authored by Elham Tabassi

Since Specialization
Citations

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

Fields of papers citing papers by Elham Tabassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007258
2 200571
3 200459
4 201734
5 201324
6 201322
7 202418
8 200614
9
Fingerprint Sample Quality Metric NFIQ 2.0.
20119
10 20198
11 20167
12 20107
13 20146
14 20156
15
An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II) | NIST
20095
16 20124
17 20174
18 20114
19 20193
20
Fingerprint Image Qualitiy | NIST
20043

About Elham Tabassi

Elham Tabassi is a scholar working on Signal Processing, Safety Research, Computer Vision and Pattern Recognition, Genetics and Information Systems, having authored 30 papers that have together received 582 indexed citations. Recurring topics across this work include Biometric Identification and Security (24 papers), Forensic Fingerprint Detection Methods (10 papers), Forensic and Genetic Research (6 papers), User Authentication and Security Systems (5 papers), Digital Media Forensic Detection (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Handwritten Text Recognition Techniques (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Signal Processing (441 citations), Safety Research (132 citations), Computer Vision and Pattern Recognition (336 citations), Information Systems (127 citations) and Artificial Intelligence (87 citations). Elham Tabassi has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Patrick J. Grother, Charles L. Wilson, John S. Garofolo, Christophe Laprun, Martial Michel, Vincent M. Stanford, Kai Cao, Christoph Busch, Anil Kumar Jain and Jiayu Zhou. Their work appears in journals such as Synthesis lectures on artificial intelligence and machine learning, Advances in computer vision and pattern recognition, Proceedings of the IEEE, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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