Veronica Iacovacci

2.0k citations
53 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Micro and Nano Robotics (26 papers)Tissue Engineering and Regenerative Medicine (10 papers)Soft Robotics and Applications (9 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaACS Nano
Partner nations
ItalyHong KongChina

In The Last Decade

Veronica Iacovacci

47 papers receiving 1.4k citations

Hit Papers

Magnetic Actuation Methods in Bio/Soft Robotics2020202620222024202050100150200

Peers

Veronica Iacovacci
Comparison fields: 5 of 98
  • Biomedical Engineering 1.0k
  • Condensed Matter Physics 859
  • Mechanical Engineering 495
  • Surgery 128
  • Electrical and Electronic Engineering 125
Replace Kim Tien Nguyen with:
Kim Tien Nguyen South Korea
Byungjeon Kang South Korea
Junyang Li China
Gwangjun Go South Korea
Xiaoguang Dong United States
Joshua Giltinan Germany
Quanliang Cao China
Olgaç Ergeneman Switzerland
Xingzhou Du China
I. Kaliakatsos Switzerland
Veronica Iacovacci relative to Kim Tien Nguyen South Korea Kim Tien Nguyen's profile →
Citations per field
00.5×2.8×
Kim Tien Nguyen · 1×
Citations per year

Countries citing papers authored by Veronica Iacovacci

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Iacovacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Iacovacci

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Iacovacci. A scholar is included among the top collaborators of Veronica Iacovacci 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 Veronica Iacovacci. Veronica Iacovacci 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 8
2 0
3 1
4 0
5 0
6 16
7 58
8 5
9 27
10 7
11 9
12 8
13 35
14 43
15 13
16 15
17 71
18 4
19 45
20 30

About Veronica Iacovacci

Veronica Iacovacci is a scholar working on Condensed Matter Physics, Urology and Biomedical Engineering, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Micro and Nano Robotics (26 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Soft Robotics and Applications (9 papers). The work is most often cited by research in Condensed Matter Physics (859 citations), Biomedical Engineering (1.0k citations) and Mechanical Engineering (495 citations). Veronica Iacovacci has collaborated with scholars based in Italy, Hong Kong and China. Frequent co-authors include Arianna Menciassi, Leonardo Ricotti, Stefano Pane, Paolo Dario, Li Zhang, Oliver G. Schmidt, Jürgen Czarske, Bradley J. Nelson, Azaam Aziz and Nektarios Koukourakis. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

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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