Oge Marques

4.0k citations
118 papers · 2.3k · 1 hit paper · h-index 22

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Video Surveillance and Tracking Methods
    • Video Analysis and Summarization

Papers in

Oge Marques

113 papers receiving 2.1k citations

Oge Marques's Hit Papers

Dropout vs. batch normalization: an empirical study of their impact to deep learning 2020 · 386 citations
3860+2+4Years since publication100200300

Peers

Oge Marques
Comparison fields: 5 of 173
  • Health Informatics 180
  • Computer Vision and Pattern Recognition 998
  • Signal Processing 224
  • Artificial Intelligence 632
  • Media Technology 151
Replace Michael A. Riegler with:
Michael A. Riegler Norway
Ngai‐Man Cheung Singapore
Pål Halvorsen Norway
Serena Yeung United States
Tanveer Syeda-Mahmood United States
Ali Sharif Razavian Sweden
Rajesh Ranganath United States
KC Santosh United States
Daniele Ravì Italy
Narendra D. Londhe India
Oge Marques relative to Michael A. Riegler Norway Michael A. Riegler's profile →
Citations per field
00.5×2.7×
Michael A. Riegler · 1×
Citations per year

Countries citing papers authored by Oge Marques

Since Specialization
Citations

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

Fields of papers citing papers by Oge Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dropout vs. batch normalization: an empirical study of their impact to deep learning
Hit paper breakdown →
2020386
2 2017260
3 2011135
4 2007124
5 202182
6 202276
7 200376
8 202370
9 202365
10 200257
11 201753
12 201338
13 200731
14 201728
15 201228
16 201228
17 200928
18 200828
19 200625
20 200723

About Oge Marques

Oge Marques is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Oncology and Media Technology, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (30 papers), Image Retrieval and Classification Techniques (28 papers), Video Analysis and Summarization (20 papers), Visual Attention and Saliency Detection (12 papers), Advanced Vision and Imaging (11 papers), Biometric Identification and Security (10 papers), Cutaneous Melanoma Detection and Management (10 papers) and Forensic Fingerprint Detection Methods (8 papers). The work is most often cited by research in Health Informatics (180 citations), Computer Vision and Pattern Recognition (998 citations), Signal Processing (224 citations), Artificial Intelligence (632 citations) and Media Technology (151 citations). Oge Marques has collaborated with scholars based in United States, Austria and Serbia. Frequent co-authors include Borko Furht, Xingquan Zhu, Xavier Giró-i-Nieto, Mathias Lux, Hari Kalva, Dubravko Ćulibrk, Daniel Socek, Tehreem Syed, Aleksandar Nešković and Branka Stojanović. Their work appears in journals such as Multimedia Tools and Applications, Journal of Digital Imaging, Future Internet, Radiology Artificial Intelligence and JMIR Medical Education.

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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