‬‬‬‬‬‬Eva Sciacca

30.2k citations
53 papers · 407 indexed · h-index 10

‬‬‬‬‬‬Eva Sciacca

48 papers receiving 392 citations

Peers

‬‬‬‬‬‬Eva Sciacca
Comparison fields: 5 of 65
  • Information Systems and Management 77
  • Astronomy and Astrophysics 162
  • Nuclear and High Energy Physics 72
  • Instrumentation 13
  • Radiation 28
Replace Werner Benger with:
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Yusuke Tanimura Japan
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Yao-Lung L. Fang United States
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E. Peluso Italy
‬‬‬‬‬‬Eva Sciacca relative to Werner Benger United States Werner Benger's profile →
Citations per field
00.5×9.3×
Werner Benger · 1×
Citations per year

Countries citing papers authored by ‬‬‬‬‬‬Eva Sciacca

Since Specialization
Citations

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

Fields of papers citing papers by ‬‬‬‬‬‬Eva Sciacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20231
4 20237
5 20237
6 20223
7 20213
8 20210
9
Immersive virtual reality for studying volcano-tectonic features: A case study from the northern active rift zone of Iceland
20191
10 20199
11
Visual Analytics in Astrophysics: a Novel Tool Integrated into VisIVO
20190
12 20185
13 20183
14 201791
15 20144
16 201313
17
VisIVO Science Gateway: a Collaborative Environment for the Astrophysics Community
20139
18 20115
19 20114
20 20082

About ‬‬‬‬‬‬Eva Sciacca

‬‬‬‬‬‬Eva Sciacca is a scholar working on Information Systems and Management, Instrumentation, Astronomy and Astrophysics, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 53 papers that have together received 407 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (18 papers), Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (10 papers), Stellar, planetary, and galactic studies (8 papers), Research Data Management Practices (6 papers), Astronomy and Astrophysical Research (6 papers), Radio Astronomy Observations and Technology (6 papers) and Astrophysics and Star Formation Studies (5 papers). The work is most often cited by research in Information Systems and Management (77 citations), Astronomy and Astrophysics (162 citations), Nuclear and High Energy Physics (72 citations), Instrumentation (13 citations) and Radiation (28 citations) ‬‬‬‬‬‬Eva Sciacca has collaborated with scholars based in Italy, United Kingdom and Malta. Frequent co-authors include Fabio Vitello, U. Becciani, S. Riggi, Giuseppe Nicosia, Alessandro Costa, Salvatore Rinaudo, M. Bandieramonte, C. Petta, Mel Krokos and S. Molinari. Their work appears in journals such as Astronomy and Computing, Monthly Notices of the Royal Astronomical Society, Journal of Grid Computing, Future Generation Computer Systems and IEEE Transactions on Artificial Intelligence.

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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