Walter Romano

33 papers receiving 1.3k citations

Walter Romano's Hit Papers

Incremental Support Vector Learning for Ordinal Regression 2014 · 606 citations
6060+4+8Years since publication200400600

Peers

Walter Romano
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 266
  • Artificial Intelligence 272
  • Obstetrics and Gynecology 53
  • Radiology, Nuclear Medicine and Imaging 130
  • Media Technology 51
Replace Meng Li with:
Meng Li China
T. Pavlidis Greece
Miguel Á. González Ballester Spain
Derek Magee United Kingdom
Shujun Huang China
Carmelo Militello Italy
Michaël Aertsen Belgium
Shijun Wang United States
Volodymyr Kuleshov United States
Efthyvoulos Kyriacou Cyprus
Walter Romano relative to Meng Li China Meng Li's profile →
Citations per field
00.5×10×12.5×
Meng Li · 1×
Citations per year

Countries citing papers authored by Walter Romano

Since Specialization
Citations

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

Fields of papers citing papers by Walter Romano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Incremental Support Vector Learning for Ordinal Regression
Hit paper breakdown →
2014606
2 1992114
3 201478
4 201657
5 201152
6 201140
7 201239
8 201438
9 199633
10 200528
11 200528
12 200327
13 199625
14 199224
15 199322
16 198616
17
The spectrum of ulnar collateral ligament injuries as viewed on magnetic resonance imaging of the metacarpophalangeal joint of the thumb.
200315
18 199715
19 201014
20 201013

About Walter Romano

Walter Romano is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (5 papers), Neonatal and fetal brain pathology (3 papers), Medical Imaging and Analysis (3 papers), Endometriosis Research and Treatment (2 papers), Face and Expression Recognition (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Artificial Intelligence (272 citations), Obstetrics and Gynecology (53 citations), Radiology, Nuclear Medicine and Imaging (130 citations) and Media Technology (51 citations). Walter Romano has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Shuo Li, Keng Yeow Tay, Victor S. Sheng, Bin Gu, David Bach, P L Munk, A D Vellet, Donald H. Taves, Aaron Fenster and Derek W. Cool. Their work appears in journals such as Radiology, Obstetrics and Gynecology, Human Reproduction, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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