Yulia Hicks

1.7k citations
85 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

Yulia Hicks

82 papers receiving 1.2k citations

Yulia Hicks's Hit Papers

Feature selection using Joint Mutual Information Maximisation 2015 · 523 citations
5230+3+7Years since publication100200300400500

Peers

Yulia Hicks
Comparison fields: 5 of 140
  • Computer Vision and Pattern Recognition 387
  • Signal Processing 191
  • Artificial Intelligence 412
  • Human-Computer Interaction 34
  • Health Information Management 24
Replace Joan Cabestany with:
Joan Cabestany Spain
Ming Yu China
Zhen Huang China
Claudio De Stefano Italy
Hyun‐Chul Kim South Korea
Karla Brkić Croatia
Takahiro Ogawa Japan
Francesco Fontanella Italy
Cüneyt Güzelіș Türkiye
André L. V. Coelho Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Yulia Hicks

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature selection using Joint Mutual Information Maximisation
Hit paper breakdown →
2015523
2 200647
3 201641
4 200932
5 201027
6 202027
7 201826
8 201326
9
2007 15th International Conference on Digital Signal Processing
200725
10 200724
11 201522
12 201722
13 202322
14 201720
15 201419
16 201818
17
A method to add Gaussian mixture models
200418
18 201617
19 201616
20 200314

About Yulia Hicks

Yulia Hicks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Psychiatry and Mental health, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Image Retrieval and Classification Techniques (10 papers), Face recognition and analysis (8 papers), Blind Source Separation Techniques (7 papers), Dementia and Cognitive Impairment Research (7 papers), Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (6 papers) and Human Motion and Animation (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Signal Processing (191 citations), Artificial Intelligence (412 citations), Human-Computer Interaction (34 citations) and Health Information Management (24 citations). Yulia Hicks has collaborated with scholars based in United Kingdom, Iraq and Japan. Frequent co-authors include Rossitza Setchi, Mohamed Bennasar, Jonathon A. Chambers, Kenneth P. Camilleri, Darren Cosker, Saeid Sanei, Paul L. Rosin, Stuart M. Allen, Wenwu Wang and Antony Bayer. Their work appears in journals such as Computers and Electronics in Agriculture, Expert Systems with Applications, PLoS ONE, The Spine Journal and Pattern Recognition Letters.

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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