Daniele Ielmini

25.9k total citations · 7 hit papers
388 papers, 19.0k citations indexed

About

Daniele Ielmini is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Daniele Ielmini has authored 388 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 372 papers in Electrical and Electronic Engineering, 157 papers in Materials Chemistry and 65 papers in Polymers and Plastics. Recurrent topics in Daniele Ielmini's work include Advanced Memory and Neural Computing (300 papers), Ferroelectric and Negative Capacitance Devices (156 papers) and Phase-change materials and chalcogenides (115 papers). Daniele Ielmini is often cited by papers focused on Advanced Memory and Neural Computing (300 papers), Ferroelectric and Negative Capacitance Devices (156 papers) and Phase-change materials and chalcogenides (115 papers). Daniele Ielmini collaborates with scholars based in Italy, United States and Germany. Daniele Ielmini's co-authors include Andrea L. Lacaita, H.‐S. Philip Wong, Simone Balatti, C. Cagli, F. Nardi, Stefano Ambrogio, Yuegang Zhang, Ugo Russo, Giacomo Pedretti and Simone Raoux and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniele Ielmini

379 papers receiving 18.6k citations

Hit Papers

In-memory computing with resistive ... 2007 2026 2013 2019 2018 2009 2016 2007 2011 500 1000 1.5k

Peers

Daniele Ielmini
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 17.9k
  • Materials Chemistry 6.3k
  • Cellular and Molecular Neuroscience 4.7k
  • Polymers and Plastics 3.7k
  • Artificial Intelligence 1.8k
Replace Duncan R. Stewart with:
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Citations per field, relative to Daniele Ielmini
Daniele Ielmini · 1×
Citations per year, relative to Daniele Ielmini
Daniele Ielmini · 1×

Countries citing papers authored by Daniele Ielmini

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Ielmini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Ielmini

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Ielmini. A scholar is included among the top collaborators of Daniele Ielmini 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 Daniele Ielmini. Daniele Ielmini 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 2
3 3
4 4
5 1
6 7
7 5
8 64
9 29
10 1
11 29
12 2
13 11
14 12
15 132
16 100
17 69
18
Modeling of switching phenomena in phase-change memory (PCM) devices
1
19 113
20
Intrinsic data retenction in nanoscaled phase-change memories - Part II: Statistical analysis and prediction of failure time
0

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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