Elham Tabassi

3.0k citations
27 papers · 677 · h-index 9

Impact in

Papers in

Elham Tabassi

26 papers receiving 625 citations

Peers

Elham Tabassi
Comparison fields: 5 of 73
  • Signal Processing 446
  • Computer Vision and Pattern Recognition 464
  • Safety Research 107
  • Information Systems 109
  • Human-Computer Interaction 19
Replace Neil Yager with:
Neil Yager Australia
Meltem Demirkus Canada
Nathan D. Kalka United States
Xunqiang Tao China
Y.S. Moon Hong Kong
Samarth Bharadwaj India
Sunpreet S. Arora United States
Tejas I. Dhamecha India
Xianchao Qiu China
Zhaofeng He China
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Citations per year

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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004220
2 2007202
3 200556
4
The NIST Meeting Room Pilot Corpus
200448
5 201730
6 201318
7 201316
8 200613
9 202411
10
Fingerprint Sample Quality Metric NFIQ 2.0.
20116
11 20106
12
Semantic conformance testing for finger minutiae data
20095
13
An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II) | NIST
20095
14 20165
15 20145
16 20155
17 20195
18
Semantic Conformance Testing Method for Finger Minutiae Data.
20094
19 20114
20 20174

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 27 papers that have together received 677 indexed citations. Recurring topics across this work include Biometric Identification and Security (21 papers), Forensic Fingerprint Detection Methods (9 papers), Forensic and Genetic Research (5 papers), User Authentication and Security Systems (4 papers), Digital Media Forensic Detection (3 papers), Handwritten Text Recognition Techniques (2 papers), Face and Expression Recognition (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Signal Processing (446 citations), Computer Vision and Pattern Recognition (464 citations), Safety Research (107 citations), Information Systems (109 citations) and Human-Computer Interaction (19 citations). Elham Tabassi has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Patrick Grother, Ross J. Micheals, Duane M. Blackburn, Martyn Bone, P. Jonathon Phillips, Charles L. Wilson, John S. Garofolo, Christophe Laprun, Martial Michel and Vincent M. Stanford. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computer Vision 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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