Fátima Rosa

419 citations
17 papers · 345 · h-index 8

Impact in

Papers in

Fátima Rosa

16 papers receiving 334 citations

Peers

Fátima Rosa
Comparison fields: 5 of 66
  • Molecular Medicine 77
  • Polymers and Plastics 84
  • Biomedical Engineering 188
  • Biomaterials 44
  • Industrial and Manufacturing Engineering 20
Replace Qingshan Zhang with:
Qingshan Zhang China
Wael Ali Germany
Nanthiya Hansupalak Thailand
Swee Yong Chee Malaysia
Bishwa R. Nayak India
Hongyi Liu China
Taha El Assimi Morocco
Abdel‐Azim A. Abdel‐Azim Egypt
Abdulaziz Alammar Saudi Arabia
Zhenghui Wang China
Fátima Rosa relative to Qingshan Zhang China Qingshan Zhang's profile →
Citations per field
00.5×1.5×1.9×
Qingshan Zhang · 1×
Citations per year

Countries citing papers authored by Fátima Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Fátima Rosa, 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 Fátima Rosa Line = papers co-authored together Fátima Rosa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201984
2 200271
3 202054
4 200252
5 201922
6 200314
7 201113
8 20227
9 20077
10 20235
11 20094
12 20134
13 20123
14 20063
15
Scientific computing on the Internet: Direct resolution of several engineering problems
20121
16 20171
17 20210

About Fátima Rosa

Fátima Rosa is a scholar working on Polymers and Plastics, Biomedical Engineering, Molecular Medicine, Organic Chemistry and Computer Networks and Communications, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (6 papers), Polymer Nanocomposites and Properties (6 papers), Advanced Polymer Synthesis and Characterization (4 papers), Thermochemical Biomass Conversion Processes (4 papers), Lignin and Wood Chemistry (3 papers), Experimental Learning in Engineering (3 papers), Polymer-Based Agricultural Enhancements (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Molecular Medicine (77 citations), Polymers and Plastics (84 citations), Biomedical Engineering (188 citations), Biomaterials (44 citations) and Industrial and Manufacturing Engineering (20 citations). Fátima Rosa has collaborated with scholars based in Portugal, Germany and United Kingdom. Frequent co-authors include Miguel Casquilho, João C. Bordado, Abel Rodrigues, Ana Paula Soares Dias, Filipe Rego, Marta Ramos, Todor Vuchkov, Pooja Sharma, Hélder Viana and A. Cavaleiro. Their work appears in journals such as Journal of Applied Polymer Science, Energy, Biomass and Bioenergy, Polymer and Journal of Polymer Science Part B Polymer Physics.

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.

Explore authors with similar magnitude of impact