F.A.M.M. Gonçalves

39 total papers · 1.2k total citations
31 papers, 896 citations indexed

About

F.A.M.M. Gonçalves is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, F.A.M.M. Gonçalves has authored 31 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Organic Chemistry. Recurrent topics in F.A.M.M. Gonçalves's work include Advanced Fiber Optic Sensors (6 papers), Thermodynamic properties of mixtures (5 papers) and Advanced Polymer Synthesis and Characterization (4 papers). F.A.M.M. Gonçalves is often cited by papers focused on Advanced Fiber Optic Sensors (6 papers), Thermodynamic properties of mixtures (5 papers) and Advanced Polymer Synthesis and Characterization (4 papers). F.A.M.M. Gonçalves collaborates with scholars based in Portugal, United States and India. F.A.M.M. Gonçalves's co-authors include Paula Ferreira, Patrícia Alves, Abel G.M. Ferreira, Marta Santos, Jorge F. J. Coelho, I.M.A. Fonseca, J. Kestin, C.S.M.F. Costa, I. Johnson and Arménio C. Serra and has published in prestigious journals such as Progress in Polymer Science, Carbon and Polymer.

In The Last Decade

F.A.M.M. Gonçalves

29 papers receiving 881 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F.A.M.M. Gonçalves 364 253 188 167 149 31 896
Jun Yang 176 0.5× 440 1.7× 248 1.3× 288 1.7× 115 0.8× 44 848
Anthony P. Kotula 221 0.6× 221 0.9× 151 0.8× 165 1.0× 115 0.8× 33 704
Xiaoxiao Li 255 0.7× 280 1.1× 169 0.9× 530 3.2× 80 0.5× 38 1.0k
Ru Chen 249 0.7× 242 1.0× 107 0.6× 268 1.6× 72 0.5× 29 918
N.E. Hudson 109 0.3× 297 1.2× 75 0.4× 106 0.6× 62 0.4× 39 743
Zonglin Li 187 0.5× 259 1.0× 304 1.6× 243 1.5× 120 0.8× 44 759
Kunyue Xing 145 0.4× 467 1.8× 79 0.4× 142 0.9× 79 0.5× 24 736
Liping Wei 247 0.7× 128 0.5× 59 0.3× 204 1.2× 169 1.1× 39 722
Prachi Thareja 206 0.6× 112 0.4× 142 0.8× 327 2.0× 63 0.4× 61 855
Qianqian Yu 160 0.4× 167 0.7× 117 0.6× 203 1.2× 515 3.5× 26 993

Countries citing papers authored by F.A.M.M. Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by F.A.M.M. Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A.M.M. Gonçalves. 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 F.A.M.M. Gonçalves. The network helps show where F.A.M.M. Gonçalves may publish in the future.

Co-authorship network of co-authors of F.A.M.M. Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of F.A.M.M. Gonçalves. A scholar is included among the top collaborators of F.A.M.M. Gonçalves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F.A.M.M. Gonçalves. F.A.M.M. Gonçalves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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