P. Gomes

950 citations
12 papers · 781 · h-index 8

Impact in

  • Surgery top 5%
    • Total Knee Arthroplasty Outcomes
    • Orthopaedic implants and arthroplasty
    • Surgical Simulation and Training
    • Orthopedic Infections and Treatments
    • Soft Robotics and Applications
    • Anatomy and Medical Technology

Papers in

P. Gomes

12 papers receiving 737 citations

Peers

P. Gomes
Comparison fields: 5 of 57
  • Surgery 554
  • Biomedical Engineering 331
  • Health Informatics 9
  • Control and Systems Engineering 100
  • Computer Vision and Pattern Recognition 54
Replace Matjaz Jakopec with:
Matjaz Jakopec United Kingdom
J. Zuhars United States
Bela L. Musits United States
Petros Giataganas United Kingdom
Dennis Kundrat Germany
Asaki Hattori Japan
Mahdi Azizian United States
Hedyeh Rafii-Tari United Kingdom
Cinzia Freschi Italy
B. L. Davies United Kingdom
P. Gomes relative to Matjaz Jakopec United Kingdom Matjaz Jakopec's profile →
Citations per field
00.5×1.5×
Matjaz Jakopec · 1×
Citations per year

Countries citing papers authored by P. Gomes

Since Specialization
Citations

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

Fields of papers citing papers by P. Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside P. Gomes, 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 P. Gomes Line = papers co-authored together P. Gomes links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006286
2 2001151
3 2001120
4 2003114
5 200651
6 200627
7 20179
8 20039
9 20097
10 20163
11 20022
12 20112

About P. Gomes

P. Gomes is a scholar working on Control and Systems Engineering, Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 781 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (4 papers), Soft Robotics and Applications (4 papers), Robot Manipulation and Learning (4 papers), Knee injuries and reconstruction techniques (2 papers), ECG Monitoring and Analysis (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Robotic Path Planning Algorithms (2 papers) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Surgery (554 citations), Biomedical Engineering (331 citations), Health Informatics (9 citations), Control and Systems Engineering (100 citations) and Computer Vision and Pattern Recognition (54 citations). P. Gomes has collaborated with scholars based in United Kingdom and Portugal. Frequent co-authors include Matjaz Jakopec, Simon J. Harris, Justin Peter Cobb, Brian Davies, Ferdinando Rodriguez y Baena, Johann Henckel, B. L. Davies, Carlos Silvestre, Rita Cunha and Duarte Antunes. Their work appears in journals such as Computer Aided Surgery, IEEE Transactions on Robotics and Automation, Proceedings of the IEEE, AIAA Guidance, Navigation, and Control Conference and Exhibit and Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy.

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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