Jack Greenhalgh

17 papers receiving 695 citations

Jack Greenhalgh's Hit Papers

Real-Time Detection and Recognition of Road Traffic Signs 2012 · 289 citations
2890+4+9Years since publication50100150200250

Peers

Jack Greenhalgh
Comparison fields: 5 of 87
  • Health Informatics 37
  • Media Technology 232
  • Developmental Biology 42
  • Computer Vision and Pattern Recognition 362
  • Human-Computer Interaction 62
Replace Yoshito Mekada with:
Yoshito Mekada Japan
Abhishek Dutta United Kingdom
Francisco Massa
Aymeric Histace France
Soon-Yong Park South Korea
Chang–Bin Zhang China
Chongruo Wu United States
Marius Pedersen Norway
Zhemin Zhuang China
Jack Greenhalgh relative to Yoshito Mekada Japan Yoshito Mekada's profile →
Citations per field
00.5×4.5×
Yoshito Mekada · 1×
Citations per year

Countries citing papers authored by Jack Greenhalgh

Since Specialization
Citations

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

Fields of papers citing papers by Jack Greenhalgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Real-Time Detection and Recognition of Road Traffic Signs
Hit paper breakdown →
2012289
2 2019152
3 201482
4 201945
5 202322
6 201222
7 201521
8 202019
9 202117
10 202314
11 202211
12 202110
13 20236
14 20246
15 20253
16 20232
17 20242

About Jack Greenhalgh

Jack Greenhalgh is a scholar working on Ecology, Oceanography, Developmental Biology, Oncology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 723 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Animal Vocal Communication and Behavior (5 papers), Underwater Acoustics Research (5 papers), Marine animal studies overview (4 papers), Vehicle License Plate Recognition (4 papers), Handwritten Text Recognition Techniques (3 papers), Identification and Quantification in Food (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Health Informatics (37 citations), Media Technology (232 citations), Developmental Biology (42 citations), Computer Vision and Pattern Recognition (362 citations) and Human-Computer Interaction (62 citations). Jack Greenhalgh has collaborated with scholars based in United Kingdom, Spain and Australia. Frequent co-authors include Majid Mirmehdi, Ioulios Palamaras, Michael Phillips, Giuseppe Argenziano, G.N. Wali, Anthony Bewley, Rubeta Matin, Rob S. James, W. Jaffe and Camille Desjonquères. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Frontiers in Medicine, Environmental DNA, Freshwater Biology and British Journal of Dermatology.

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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