E. Nunzi

53 papers receiving 728 citations

Peers

E. Nunzi
Comparison fields: 5 of 88
  • Rheumatology 130
  • Statistics, Probability and Uncertainty 65
  • Insect Science 76
  • Endocrinology, Diabetes and Metabolism 73
  • Urology 26
Replace Florian Frommlet with:
Florian Frommlet Austria
Chang Wook Kim South Korea
Thomas Herold Germany
Yoshitaka Wada Japan
M. Varghese United States
Yufan Wu China
Vijay Rajagopal Australia
Masafumi Sakamoto Japan
Steven E. Williams United Kingdom
Paul G. Gottschalk United States
E. Nunzi relative to Florian Frommlet Austria Florian Frommlet's profile →
Citations per field
00.5×10×20×25.3×
Florian Frommlet · 1×
Citations per year

Countries citing papers authored by E. Nunzi

Since Specialization
Citations

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

Fields of papers citing papers by E. Nunzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Nunzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Nunzi Line = papers co-authored together E. Nunzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201275
3 201673
4 201152
5 200752
6 201246
7 200143
8 200035
9 201429
10 201419
11 200217
12 200316
13 200816
14 199815
15 200813
16 200112
17 200512
18 201610
19 200610
20 20189

About E. Nunzi

E. Nunzi is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine, Statistics, Probability and Uncertainty and Biomedical Engineering, having authored 55 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (13 papers), Advanced Frequency and Time Standards (9 papers), Scientific Measurement and Uncertainty Evaluation (9 papers), Analog and Mixed-Signal Circuit Design (6 papers), Atomic and Subatomic Physics Research (6 papers), Structural Health Monitoring Techniques (6 papers), Sensor Technology and Measurement Systems (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Rheumatology (130 citations), Statistics, Probability and Uncertainty (65 citations), Insect Science (76 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Urology (26 citations). E. Nunzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Carbone, Luigi Mearini, Massimo Porena, Dario Petri, Elisabetta Costantini, Vittorio Bini, Patrizia Tavella, Alessandro Zucchi, Rachele Del Sordo and Massimo Lazzeri. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Oncology Reviews, BMC Microbiology, Computer Networks and Cancer Biomarkers.

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.

Explore authors with similar magnitude of impact