Ivan Callegari

911 citations
56 papers · 652 · h-index 16

Impact in

Papers in

Ivan Callegari

55 papers receiving 629 citations

Peers

Ivan Callegari
Comparison fields: 5 of 55
  • Radiological and Ultrasound Technology 183
  • Geophysics 271
  • Paleontology 104
  • Geology 54
  • Radiation 68
Replace Ercan Aksoy with:
Ercan Aksoy Türkiye
M. Soligo Italy
Sedat İnan Türkiye
V. Pasquale Italy
Roberto Fantoni Italy
P. Chiozzi Italy
Frédéric Girault France
Alexandros Chatzipetros Greece
A. Várhegyi Hungary
M.C. Robé France
Ivan Callegari relative to Ercan Aksoy Türkiye Ercan Aksoy's profile →
Citations per field
00.5×4.9×
Ercan Aksoy · 1×
Citations per year

Countries citing papers authored by Ivan Callegari

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Callegari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 201253
3 201150
4 201933
5 201324
6 201522
7 201522
8 202021
9 201420
10 201419
11 202119
12 201919
13 201218
14 201518
15
Neogene post-collisional evolution of the internal Northern Apennines : insights from the upper Fiora and Albegna valleys (Mt. A amiata geothermal area, southern Tuscany)
200517
16 202116
17 202115
18 202214
19 202414
20 202013

About Ivan Callegari

Ivan Callegari is a scholar working on Geophysics, Radiological and Ultrasound Technology, Paleontology, Artificial Intelligence and Mechanics of Materials, having authored 56 papers that have together received 652 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (32 papers), earthquake and tectonic studies (23 papers), Geological and Geophysical Studies Worldwide (19 papers), Radioactivity and Radon Measurements (14 papers), Paleontology and Stratigraphy of Fossils (13 papers), Geochemistry and Geologic Mapping (9 papers), Hydrocarbon exploration and reservoir analysis (5 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (183 citations), Geophysics (271 citations), Paleontology (104 citations), Geology (54 citations) and Radiation (68 citations). Ivan Callegari has collaborated with scholars based in Oman, Italy and United Arab Emirates. Frequent co-authors include Andreas Scharf, Frank Mattern, Gerti Xhixha, Fabio Mantovani, Bernhard Pracejus, Daniel Moraetis, Wilfried Bauer, Marica Baldoncini, Riccardo Salvini and Mirko Francioni. Their work appears in journals such as Geological Society London Memoirs, Journal of Maps, Journal of Asian Earth Sciences, Journal of African Earth Sciences and Journal of Radioanalytical and Nuclear Chemistry.

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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