Daniel Martinez‐Marquez

9 papers receiving 318 citations

Peers

Daniel Martinez‐Marquez
Comparison fields: 5 of 72
  • Medical Laboratory Technology 7
  • Human-Computer Interaction 30
  • Radiological and Ultrasound Technology 14
  • Drug Discovery 1
  • Automotive Engineering 33
Replace Maria Pia Cavatorta with:
Maria Pia Cavatorta Italy
Gregor Harih Slovenia
Aitor Cazón Spain
Bryan M. Wimer United States
Ognjan Lužanin Serbia
Michele Lea Oliver Canada
Yash Agarwal India
Lena Berglin Sweden
Stephan Odenwald Germany
Fábio Pinto da Silva Brazil
Daniel Martinez‐Marquez relative to Maria Pia Cavatorta Italy Maria Pia Cavatorta's profile →
Citations per field
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Maria Pia Cavatorta · 1×
Citations per year

Countries citing papers authored by Daniel Martinez‐Marquez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martinez‐Marquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Martinez‐Marquez. 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 Daniel Martinez‐Marquez. The network helps show where Daniel Martinez‐Marquez may publish in the future.

Co-authors

The 12 scholars most cited alongside Daniel Martinez‐Marquez, 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 Daniel Martinez‐Marquez Line = papers co-authored together Daniel Martinez‐Marquez links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202185
2 201865
3 202043
4 202043
5 202240
6 201929
7 201913
8 202010
9 20181

About Daniel Martinez‐Marquez

Daniel Martinez‐Marquez is a scholar working on Automotive Engineering, Biomedical Engineering, Medical Laboratory Technology, Mechanical Engineering and Oral Surgery, having authored 9 papers that have together received 329 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (5 papers), Bone Tissue Engineering Materials (4 papers), Anatomy and Medical Technology (3 papers), Additive Manufacturing Materials and Processes (1 paper), Waste Management and Recycling (1 paper), Quality and Safety in Healthcare (1 paper), Dental Implant Techniques and Outcomes (1 paper) and Titanium Alloys Microstructure and Properties (1 paper). The work is most often cited by research in Medical Laboratory Technology (7 citations), Human-Computer Interaction (30 citations), Radiological and Ultrasound Technology (14 citations), Drug Discovery (1 citation) and Automotive Engineering (33 citations). Daniel Martinez‐Marquez has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include Rodney Anthony Stewart, Christopher P. Carty, Sherif Mohamed, Kriengsak Panuwatwanich, Shoujin Sun, Karan Gulati, Sašo Ivanovski, Hao Wang, Nick Florin and Peter J. Majewski. Their work appears in journals such as Materials, PLoS ONE, Materials Science and Engineering C, Sensors and Resources Conservation & Recycling Advances.

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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