E. ̃Tassi

109.7k citations
79 papers · 1.3k indexed · h-index 18

E. ̃Tassi

71 papers receiving 1.3k citations

Peers

E. ̃Tassi
Comparison fields: 5 of 120
  • Hematology 386
  • Genetics 331
  • Rheumatology 221
  • Nuclear and High Energy Physics 182
  • Computational Theory and Mathematics 118
Replace Z. Zhang with:
Z. Zhang China
Philippe Hupé France
Seong Jin Kim United States
Sven Bilke United States
M. Lima United States
Carl Herrmann Germany
J. W. Goodman United States
Robert E. Hewitt United Kingdom
Reinier van der Linden Netherlands
Paul Kirk United Kingdom
E. ̃Tassi relative to Z. Zhang China Z. Zhang's profile →
Citations per field
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Z. Zhang · 1×
Citations per year

Countries citing papers authored by E. ̃Tassi

Since Specialization
Citations

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

Fields of papers citing papers by E. ̃Tassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside E. ̃Tassi, 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. ̃Tassi Line = papers co-authored together E. ̃Tassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 202211
3 20218
4 20200
5 201810
6 20147
7 20133
8 201316
9 201215
10 20111
11 20111
12 20110
13 20113
14
A constructive and formal proof of Lebesgue’s Dominated Convergence Theorem in the interactive theorem prover Matita
20085
15 200816
16 200719
17 200531
18 200533
19 20021
20 2001125

About E. ̃Tassi

E. ̃Tassi is a scholar working on Nuclear and High Energy Physics, Radiation, Astronomy and Astrophysics, Computational Theory and Mathematics and Artificial Intelligence, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Particle physics theoretical and experimental studies (13 papers), High-Energy Particle Collisions Research (11 papers), Fibroblast Growth Factor Research (11 papers), Ionosphere and magnetosphere dynamics (11 papers), Magnetic confinement fusion research (11 papers), Logic, Reasoning, and Knowledge (8 papers) and Solar and Space Plasma Dynamics (7 papers). The work is most often cited by research in Hematology (386 citations), Genetics (331 citations), Rheumatology (221 citations), Nuclear and High Energy Physics (182 citations) and Computational Theory and Mathematics (118 citations). E. ̃Tassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Anton Wellstein, Philipp le Coutre, Carlo Gambacorti‐Passerini, Luca Mologni, Gonçalo J. M. Cabrita, Rosanna Supino, Edoardo Marchesi, Marileila Varella‐Garcia, Claudio Sacerdoti Coen and Matthew Swift. Their work appears in journals such as Physics of Plasmas, Journal of Biological Chemistry, Physical Review Accelerators and Beams, International Wound Journal and Cancer Research.

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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