Tommaso Zanotti

547 citations
31 papers · 409 indexed · h-index 11
Topics
Advanced Memory and Neural Computing (29 papers)Ferroelectric and Negative Capacitance Devices (24 papers)Semiconductor materials and devices (11 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaAdvanced Functional Materials
Partner nations
ItalySpainSaudi Arabia

In The Last Decade

Tommaso Zanotti

29 papers receiving 403 citations

Peers

Tommaso Zanotti
Comparison fields: 5 of 36
  • Electrical and Electronic Engineering 367
  • Cellular and Molecular Neuroscience 129
  • Hardware and Architecture 54
  • Materials Chemistry 54
  • Artificial Intelligence 42
Replace Jae Hyun In with:
Jae Hyun In South Korea
Siyan Lin China
Hassen Aziza France
Chrong-Jung Lin Taiwan
Akshay Wali United States
Soonwan Kwon South Korea
Karsten Beckmann United States
Sungmeen Myung South Korea
Chorng-Jung Lin Taiwan
Tommaso Zanotti relative to Jae Hyun In South Korea Jae Hyun In's profile →
Citations per field
00.5×10.6×
Jae Hyun In · 1×
Citations per year

Countries citing papers authored by Tommaso Zanotti

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Zanotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Zanotti

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Zanotti. A scholar is included among the top collaborators of Tommaso Zanotti 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 Tommaso Zanotti. Tommaso Zanotti 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 0
2 5
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5 5
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7 7
8 24
9 0
10 7
11 2
12 1
13 8
14 6
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About Tommaso Zanotti

Tommaso Zanotti is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (24 papers) and Semiconductor materials and devices (11 papers). The work is most often cited by research in Hardware and Architecture (54 citations), Cellular and Molecular Neuroscience (129 citations) and Electrical and Electronic Engineering (367 citations). Tommaso Zanotti has collaborated with scholars based in Italy, Spain and Saudi Arabia. Frequent co-authors include Francesco Maria Puglisi, Paolo Pavan, Mario Lanza, Kaichen Zhu, Xuehua Li, Tao Wang, J.B. Roldán, Wenwen Zheng, Victoria Chen and Eric Pop. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

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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