Florencia Saravia

754 citations
43 papers · 574 indexed · h-index 15
Topics
Membrane Separation Technologies (28 papers)Membrane-based Ion Separation Techniques (18 papers)Electrical and Bioimpedance Tomography (6 papers)
Partner nations
GermanyChileJordan

In The Last Decade

Florencia Saravia

39 papers receiving 560 citations

Peers

Florencia Saravia
Comparison fields: 5 of 72
  • Water Science and Technology 306
  • Biomedical Engineering 261
  • Pollution 93
  • Electrical and Electronic Engineering 90
  • Health, Toxicology and Mutagenesis 78
Replace Yongbao Chu with:
Yongbao Chu China
Zhiyi Deng China
Mohamed N.A. Meshref Canada
Yejian Zhang China
M. Krzemieniewski Poland
Sara Kazemi Yazdi Malaysia
Lin Shi China
Thomas D. Hayes United States
Ahmed Albahnasawi Türkiye
Florencia Saravia relative to Yongbao Chu China Yongbao Chu's profile →
Citations per field
00.5×3.3×
Yongbao Chu · 1×
Citations per year

Countries citing papers authored by Florencia Saravia

Since Specialization
Citations

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

Fields of papers citing papers by Florencia Saravia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florencia Saravia

This figure shows the co-authorship network connecting the top 25 collaborators of Florencia Saravia. A scholar is included among the top collaborators of Florencia Saravia 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 Florencia Saravia. Florencia Saravia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 1
5 3
6 16
7 2
8 5
9 2
10 7
11 6
12 10
13 6
14 19
15 5
16 17
17 8
18 11
19 34
20 80

About Florencia Saravia

Florencia Saravia is a scholar working on Water Science and Technology, Energy Engineering and Power Technology and Biomedical Engineering, having authored 43 papers that have together received 574 indexed citations. Recurring topics across this work include Membrane Separation Technologies (28 papers), Membrane-based Ion Separation Techniques (18 papers) and Electrical and Bioimpedance Tomography (6 papers). The work is most often cited by research in Water Science and Technology (306 citations), Pollution (93 citations) and Industrial and Manufacturing Engineering (53 citations). Florencia Saravia has collaborated with scholars based in Germany, Chile and Jordan. Frequent co-authors include Harald Horn, Fritz H. Frimmel, Daniel Schmitt, Michael Wagner, Christian Zwiener, Johannes Gescher, Gudrun Abbt‐Braun, Thomas Helmer Pedersen, Rodrigo Bórquez and Andreas Lemmer. Their work appears in journals such as Water Research, Bioresource Technology and Scientific Reports.

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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