Mariana Ungureanu

714 citations
12 papers · 620 indexed · h-index 10
Topics
Advanced Memory and Neural Computing (5 papers)Ferroelectric and Negative Capacitance Devices (4 papers)ZnO doping and properties (4 papers)
Partner nations
SpainGermanyArgentina

In The Last Decade

Mariana Ungureanu

12 papers receiving 609 citations

Peers

Mariana Ungureanu
Comparison fields: 5 of 46
  • Materials Chemistry 405
  • Electrical and Electronic Engineering 338
  • Electronic, Optical and Magnetic Materials 142
  • Polymers and Plastics 103
  • Atomic and Molecular Physics, and Optics 79
Replace Masamitsu Haemori with:
Masamitsu Haemori Japan
Rajneesh Chaurasiya India
Xiaobo Yuan China
Fanny Rodolakis United States
Yimin Cui China
Yawei Dai China
Yongguang Xiao China
Geoffrey Rojas United States
Franziska C. Löhrer Germany
Michele Kotiuga United States
Mariana Ungureanu relative to Masamitsu Haemori Japan Masamitsu Haemori's profile →
Citations per field
00.5×1.5×2.1×
Masamitsu Haemori · 1×
Citations per year

Countries citing papers authored by Mariana Ungureanu

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Ungureanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Ungureanu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 9
3 4
4 51
5 132
6 33
7 2
8 29
9 15
10 225
11 70
12 35

About Mariana Ungureanu

Mariana Ungureanu is a scholar working on Electronic, Optical and Magnetic Materials, Catalysis and Electrical and Electronic Engineering, having authored 12 papers that have together received 620 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and ZnO doping and properties (4 papers). The work is most often cited by research in Materials Chemistry (405 citations), Electronic, Optical and Magnetic Materials (142 citations) and Polymers and Plastics (103 citations). Mariana Ungureanu has collaborated with scholars based in Spain, Germany and Argentina. Frequent co-authors include D. Spemann, P. Esquinazi, R. Höhne, T. Butz, Hendrik Ohldag, T. Tyliszczak, Luis E. Hueso, Fèlix Casanova, Raúl Zazpe and Pablo Stoliar. Their work appears in journals such as Physical Review Letters, Advanced Materials and Applied Physics Letters.

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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