Cristina Matos

57 total papers · 816 total citations
38 papers, 566 citations indexed

About

Cristina Matos is a scholar working on Environmental Engineering, Industrial and Manufacturing Engineering and Water Science and Technology. According to data from OpenAlex, Cristina Matos has authored 38 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 12 papers in Industrial and Manufacturing Engineering and 11 papers in Water Science and Technology. Recurrent topics in Cristina Matos's work include Urban Stormwater Management Solutions (18 papers), Wastewater Treatment and Reuse (10 papers) and Water-Energy-Food Nexus Studies (7 papers). Cristina Matos is often cited by papers focused on Urban Stormwater Management Solutions (18 papers), Wastewater Treatment and Reuse (10 papers) and Water-Energy-Food Nexus Studies (7 papers). Cristina Matos collaborates with scholars based in Portugal, Australia and Malaysia. Cristina Matos's co-authors include Isabel Bentes, Sandra Pereira, Monzur Alam Imteaz, Cristina Santos, Ana Briga-Sá, Carlos Afonso Teixeira, António A. L. Sampaio Duarte, Mário Russo, Enedir Ghisi and Jo�ão Varaj�ão and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Environmental Management.

In The Last Decade

Cristina Matos

37 papers receiving 557 citations

Author Peers

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

Author						Papers	Cites
Cristina Matos	252	183	161	120	95	38	566
Isabel Bentes	226 0.9×	219 1.2×	127 0.8×	82 0.7×	91 1.0×	36	643
Maarten A. Siebel	136 0.5×	195 1.1×	167 1.0×	76 0.6×	83 0.9×	28	653
Emmanuel A. Donkor	140 0.6×	130 0.7×	197 1.2×	83 0.7×	273 2.9×	31	687
Isabel Domínguez	107 0.4×	237 1.3×	84 0.5×	48 0.4×	45 0.5×	27	587
Sarah Cashman	162 0.6×	204 1.1×	124 0.8×	29 0.2×	40 0.4×	19	585
Farzad Piadeh	140 0.6×	99 0.5×	139 0.9×	173 1.4×	76 0.8×	26	562
Muhammad Muhitur Rahman	132 0.5×	123 0.7×	164 1.0×	72 0.6×	28 0.3×	51	638
Changxing Ji	246 1.0×	128 0.7×	126 0.8×	37 0.3×	37 0.4×	21	680
B. N. Lohani	149 0.6×	86 0.5×	162 1.0×	56 0.5×	109 1.1×	49	664
Jonah Chukwuemeka Agunwamba	88 0.3×	139 0.8×	181 1.1×	58 0.5×	21 0.2×	41	648

Countries citing papers authored by Cristina Matos

Since Specialization

Citations

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

Fields of papers citing papers by Cristina Matos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Matos. A scholar is included among the top collaborators of Cristina Matos 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 Cristina Matos. Cristina Matos 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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