Salil Prabhakar

6.3k citations
15 papers · 4.1k · 2 hit papers · h-index 12

Impact in

Papers in

Salil Prabhakar

15 papers receiving 3.7k citations

Salil Prabhakar's Hit Papers

Handbook of Fingerprint Recognition 2009 · 1.4k citations
1.4k0+7+15Years since publication50010001.5k

Peers

Salil Prabhakar
Comparison fields: 5 of 128
  • Signal Processing 3.5k
  • Computer Vision and Pattern Recognition 2.4k
  • Safety Research 964
  • Information Systems 1.6k
  • Genetics 456
Replace Raffaele Cappelli with:
Raffaele Cappelli Italy
James L. Wayman United States
Gian Luca Marcialis Italy
Javier Galbally Spain
Christian Rathgeb Germany
Adams Wai‐Kin Kong Singapore
Lawrence O’Gorman United States
Sharat Chikkerur United States
Jana Dittmann Germany
Aythami Morales Spain
Salil Prabhakar relative to Raffaele Cappelli Italy Raffaele Cappelli's profile →
Citations per field
00.5×1.5×
Raffaele Cappelli · 1×
Citations per year

Countries citing papers authored by Salil Prabhakar

Since Specialization
Citations

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

Fields of papers citing papers by Salil Prabhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Salil Prabhakar, 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 Salil Prabhakar Line = papers co-authored together Salil Prabhakar links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Handbook of Fingerprint Recognition
Hit paper breakdown →
20031908
2
Handbook of Fingerprint Recognition
Hit paper breakdown →
20091393
3 2002274
4 2002149
5 1999145
6 200351
7
Fingerprint classification and matching using a filterbank
200149
8 200934
9 200730
10 201122
11 200816
12
Biometric Technology for Human Identification VII
200713
13 200710
14
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX
20119
15 20091

About Salil Prabhakar

Salil Prabhakar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Genetics and Safety Research, having authored 15 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), User Authentication and Security Systems (5 papers), Forensic and Genetic Research (3 papers), Forensic Fingerprint Detection Methods (3 papers), Face recognition and analysis (2 papers), Face and Expression Recognition (2 papers), Handwritten Text Recognition Techniques (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Signal Processing (3.5k citations), Computer Vision and Pattern Recognition (2.4k citations), Safety Research (964 citations), Information Systems (1.6k citations) and Genetics (456 citations). Salil Prabhakar has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Davide Maltoni, Dario Maio, Anil K. Jain, Anil Jain, Sharath Pankanti, Shaoyun Chen, Ali Erol, George Bebis, Kuang-Chih Lee and Tieniu Tan. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Pattern Recognition Letters and IEEE Instrumentation & Measurement Magazine.

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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