Mariacecilia Pasini

3.3k total citations
109 papers, 2.9k citations indexed

About

Mariacecilia Pasini is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Mariacecilia Pasini has authored 109 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Electrical and Electronic Engineering, 54 papers in Materials Chemistry and 50 papers in Polymers and Plastics. Recurrent topics in Mariacecilia Pasini's work include Organic Electronics and Photovoltaics (53 papers), Conducting polymers and applications (48 papers) and Organic Light-Emitting Diodes Research (46 papers). Mariacecilia Pasini is often cited by papers focused on Organic Electronics and Photovoltaics (53 papers), Conducting polymers and applications (48 papers) and Organic Light-Emitting Diodes Research (46 papers). Mariacecilia Pasini collaborates with scholars based in Italy, France and Switzerland. Mariacecilia Pasini's co-authors include Umberto Giovanella, Chiara Botta, Francesco Galeotti, William Porzio, Silvia Destri, Lorenzo Di Bari, Francesco Zinna, Benedetta Maria Squeo, Barbara Vercelli and Tersilla Virgili and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Mariacecilia Pasini

103 papers receiving 2.9k citations

Peers

Mariacecilia Pasini
Comparison fields: 5 of 81
  • Materials Chemistry 1.9k
  • Electrical and Electronic Engineering 1.7k
  • Polymers and Plastics 692
  • Organic Chemistry 576
  • Electronic, Optical and Magnetic Materials 440
Replace Guoyun Meng with:
Guoyun Meng China
Sei‐Hum Jang United States
Jorge Piris Netherlands
Silvia Destri Italy
Xu‐Hui Zhu China
Toshiki Koyama Japan
Heinz‐Georg Nothofer Germany
Christian Ehli Germany
Yves Geerts Germany
Brooks A. Jones United States
Guoyun Meng China View profile →
Citations per field, relative to Mariacecilia Pasini
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Citations per year, relative to Mariacecilia Pasini
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Countries citing papers authored by Mariacecilia Pasini

Since Specialization
Citations

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

Fields of papers citing papers by Mariacecilia Pasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariacecilia Pasini

This figure shows the co-authorship network connecting the top 25 collaborators of Mariacecilia Pasini. A scholar is included among the top collaborators of Mariacecilia Pasini 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 Mariacecilia Pasini. Mariacecilia Pasini 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
# Work Indexed citations
1 0
2 4
3 2
4 0
5 0
6 1
7 1
8 5
9 6
10 10
11 0
12 43
13 7
14 0
15 71
16 10
17 8
18 16
19 100
20 13

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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