Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The humanID gait challenge problem: data sets, performance, and analysis
2005800 citationsSudeep Sarkar, P. Jonathon Phillips et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
2015417 citationsBrendan Klare, Ben Klein et al.profile →
IARPA Janus Benchmark - C: Face Dataset and Protocol
2018364 citationsJames A. Duncan, Nathan D. Kalka et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Patrick Grother
Since
Specialization
Citations
This map shows the geographic impact of Patrick Grother'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 Patrick Grother with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Grother more than expected).
This network shows the impact of papers produced by Patrick Grother. 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 Patrick Grother. The network helps show where Patrick Grother may publish in the future.
Co-authorship network of co-authors of Patrick Grother
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Grother.
A scholar is included among the top collaborators of Patrick Grother 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 Patrick Grother. Patrick Grother is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Grother, Patrick, Mei Ngan, & Kayee Hanaoka. (2019). Ongoing Face Recognition Vendor Test (FRVT) Part 1: Verification.17 indexed citations
Klare, Brendan, Ben Klein, Austin Blanton, et al.. (2015). Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A. 1931–1939.417 indexed citations breakdown →
Grother, Patrick, et al.. (2007). Concepts of Operations (CONOPS) for the Evaluation of Latent Fingerprint Technologies (ELFT) | NIST.
12.
Wilson, Charles L., Patrick Grother, & Ramaswamy Chandramouli. (2007). SP 800-76-1. Biometric Data Specification for Personal Identity Verification.3 indexed citations
13.
Wilson, Charles L., Patrick Grother, & Ramaswamy Chandramouli. (2007). NIST Special Publication 800-76-1 Biometric Data Specification for Personal Identity Verification.1 indexed citations
14.
Grother, Patrick & Elham Tabassi. (2007). Performance of Biometric Quality Measures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(4). 531–543.202 indexed citations
15.
Tabassi, Elham, Patrick Grother, & George Quinn. (2006). When to Fuse Two Biometrics? | NIST. Computer Vision and Pattern Recognition.1 indexed citations
16.
Sarkar, Sudeep, et al.. (2005). The humanID gait challenge problem: data sets, performance, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(2). 162–177.800 indexed citations breakdown →
17.
Grother, Patrick. (2004). Face Recognition Vendor Test 2002 Supplemental Report NISTIR 7083.10 indexed citations
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.