Ralph Gross

10.9k citations
43 papers · 5.6k indexed · 3 hit papers · h-index 24

Impact in

Papers in

    • Face recognition and analysis 21
    • Face and Expression Recognition 12
    • Video Surveillance and Tracking Methods 7
    • Advanced Image and Video Retrieval Techniques 4
    • Biometric Identification and Security 11
    • Speech and Audio Processing 4

Ralph Gross

41 papers receiving 5.2k citations

Hit Papers

Multi-PIE 2009 · 1.2k citations
1.2k20052026201220194008001.2k

Peers

Ralph Gross
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 3.1k
  • Signal Processing 887
  • Communication 546
  • Human-Computer Interaction 408
  • Information Systems and Management 325
Replace Danyel Fisher with:
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Ralph Gross relative to Danyel Fisher United States Danyel Fisher's profile →
Citations per field
00.5×1.5×2.0×
Danyel Fisher · 1×
Citations per year

Countries citing papers authored by Ralph Gross

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20220
3 20181
4 20141
5 20134
6
Predicting Social Security Numbers from Public Data
20093
7
Multi-PIE
Hit paper breakdown →
20091168
8 2009156
9 2008265
10 2006121
11
Mining Images in Publicly-Available Cameras for Homeland Security.
20059
12 200578
13 200528
14 2004184
15 200412
16 2003349
17
Concurrent Object Recognition and Segmentation by Graph Partitioning
200260
18 200231
19 200039
20 199936

About Ralph Gross

Ralph Gross is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology and Artificial Intelligence, having authored 43 papers that have together received 5.6k indexed citations. Recurring topics across this work include Face recognition and analysis (21 papers), Face and Expression Recognition (12 papers), Biometric Identification and Security (11 papers), Video Surveillance and Tracking Methods (7 papers), Privacy, Security, and Data Protection (6 papers), Speech and Audio Processing (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Signal Processing (887 citations), Communication (546 citations), Human-Computer Interaction (408 citations) and Information Systems and Management (325 citations). Ralph Gross has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Alessandro Acquisti, Simon Baker, Iain Matthews, Jianbo Shi, Takeo Kanade, Jeffrey F. Cohn, Robert T. Collins, Fred Stutzman, Latanya Sweeney and Jeffrey P. Cohn. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Biomedical Engineering and Production and Operations Management.

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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