Iulia Salaoru

861 citations
42 papers · 685 · h-index 15

Impact in

Papers in

Iulia Salaoru

41 papers receiving 665 citations

Peers

Iulia Salaoru
Comparison fields: 5 of 46
  • Cellular and Molecular Neuroscience 190
  • Polymers and Plastics 138
  • Electrical and Electronic Engineering 552
  • Automotive Engineering 93
  • Materials Chemistry 156
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M. N. Kirikova Russia
Myungsoo Seo South Korea
Zhuojian Xiao China
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Citations per year

Countries citing papers authored by Iulia Salaoru

Since Specialization
Citations

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

Fields of papers citing papers by Iulia Salaoru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iulia Salaoru, 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 Iulia Salaoru Line = papers co-authored together Iulia Salaoru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201676
3 200367
4 201350
5 201845
6 201638
7 201337
8 201432
9 201429
10 201223
11 201919
12 200918
13 201416
14 201615
15 201014
16 201013
17 20107
18 20166
19
Preparation and structural characterization of thin-film CdTe/CdS heterojunctions
20066
20 20086

About Iulia Salaoru

Iulia Salaoru is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Automotive Engineering and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Conducting polymers and applications (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Neuroscience and Neural Engineering (7 papers), Organic Electronics and Photovoltaics (6 papers), Nanomaterials and Printing Technologies (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (190 citations), Polymers and Plastics (138 citations), Electrical and Electronic Engineering (552 citations), Automotive Engineering (93 citations) and Materials Chemistry (156 citations). Iulia Salaoru has collaborated with scholars based in United Kingdom, China and Romania. Frequent co-authors include Themis Prodromakis, Ali Khiat, Qingjiang Li, Shashi Paul, Peter Morris, Zuoxin Zhou, Gregory J. Gibbons, Christos Papavassiliou, Hui Xu and Radu Berdan. Their work appears in journals such as Applied Physics Letters, Thin Solid Films, Journal of Visualized Experiments, Nanoscale Research Letters and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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