T. Rivas

119 papers receiving 2.6k citations

Peers

T. Rivas
Comparison fields: 5 of 151
  • Earth-Surface Processes 1.4k
  • Conservation 631
  • Archeology 751
  • Radiological and Ultrasound Technology 213
  • Space and Planetary Science 49
Replace Paolo Mazzoleni with:
Paolo Mazzoleni Italy
Zhaolin Gu China
Silvestro Antonio Ruffolo Italy
J.S. Pozo-António Spain
Arnold Janssens Belgium
Dominique Derome Switzerland
Carmela Vaccaro Italy
Carlos Roberto Appoloni Brazil
Ronnen Levinson United States
Omar S. Baghabra Al‐Amoudi Saudi Arabia
T. Rivas relative to Paolo Mazzoleni Italy Paolo Mazzoleni's profile →
Citations per field
00.5×10.1×
Paolo Mazzoleni · 1×
Citations per year

Countries citing papers authored by T. Rivas

Since Specialization
Citations

This map shows the geographic impact of T. Rivas'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 T. Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Rivas more than expected).

Fields of papers citing papers by T. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2010109
3 2008106
4
Difference in the breakfast habits of overweight/obese and normal weight schoolchildren.
1998106
5 201192
6 201268
7 200367
8 200067
9 201665
10 201553
11 201450
12 200849
13 200944
14 200244
15 200244
16 199743
17 201042
18 200940
19 201438
20 201236

About T. Rivas

T. Rivas is a scholar working on Earth-Surface Processes, Archeology, Conservation, Civil and Structural Engineering and Computational Mechanics, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Building materials and conservation (80 papers), Cultural Heritage Materials Analysis (42 papers), Conservation Techniques and Studies (26 papers), Laser Material Processing Techniques (20 papers), Lichen and fungal ecology (14 papers), Concrete and Cement Materials Research (11 papers), 3D Surveying and Cultural Heritage (8 papers) and Electrokinetic Soil Remediation Techniques (7 papers). The work is most often cited by research in Earth-Surface Processes (1.4k citations), Conservation (631 citations), Archeology (751 citations), Radiological and Ultrasound Technology (213 citations) and Space and Planetary Science (49 citations). T. Rivas has collaborated with scholars based in Spain, Portugal and France. Frequent co-authors include J.S. Pozo-António, B. Silva, B. Prieto, A. Ramil, Ana Jesús López Díaz, María J. Mosquera, J. Taboada, M.P. Fiorucci, J.M. Matías and J.E. Martín. Their work appears in journals such as Construction and Building Materials, Applied Surface Science, The Science of The Total Environment, Materials and Structures and Materiales de Construcción.

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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