Daniel R. Cassar
- Materials Chemistry top 10%
- Ceramics and Composites top 1%
- Mechanical Engineering top 10%
- Inorganic Chemistry top 10%
- Archeology top 2%
- Co-authors
- Edgar Dutra ZanottoAndré C. P. L. F. de CarvalhoAlisson Mendes RodriguesTiago BotariSaulo Martiello MasteliniVladimir M. FokinPrabhat K. GuptaOscar Peitl
- Topics
- Glass properties and applications (26 papers)Material Dynamics and Properties (26 papers)Phase-change materials and chalcogenides (10 papers)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Daniel R. Cassar
39 papers receiving 939 citations
Peers
Comparison fields: 5 of 80
- Materials Chemistry 693
- Ceramics and Composites 548
- Mechanical Engineering 207
- Inorganic Chemistry 100
- Archeology 96
Countries citing papers authored by Daniel R. Cassar
This map shows the geographic impact of Daniel R. Cassar'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 Daniel R. Cassar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Cassar more than expected).
Fields of papers citing papers by Daniel R. Cassar
This network shows the impact of papers produced by Daniel R. Cassar. 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 Daniel R. Cassar. The network helps show where Daniel R. Cassar may publish in the future.
Co-authorship network of co-authors of Daniel R. Cassar
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Cassar. A scholar is included among the top collaborators of Daniel R. Cassar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel R. Cassar. Daniel R. Cassar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 21 | |
| 12 | 37 | |
| 13 | Reproducible gray-box neural network for predicting the fragility index and the temperature-dependency of viscosity | 2 |
| 14 | 2 | |
| 15 | 32 | |
| 16 | 35 | |
| 17 | 27 | |
| 18 | 11 | |
| 19 | 42 | |
| 20 | Observations on performance characteristics of plastic water-filled barrier-type devices | 1 |
About Daniel R. Cassar
Daniel R. Cassar is a scholar working on Ceramics and Composites, Archeology and Materials Chemistry, having authored 45 papers that have together received 960 indexed citations. Recurring topics across this work include Glass properties and applications (26 papers), Material Dynamics and Properties (26 papers) and Phase-change materials and chalcogenides (10 papers). The work is most often cited by research in Ceramics and Composites (548 citations), Materials Chemistry (693 citations) and Archeology (96 citations). Daniel R. Cassar has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Edgar Dutra Zanotto, André C. P. L. F. de Carvalho, Alisson Mendes Rodrigues, Tiago Botari, Saulo Martiello Mastelini, Vladimir M. Fokin, Prabhat K. Gupta, Oscar Peitl, Bruno Almeida Pimentel and John C. Mauro. Their work appears in journals such as Chemical Reviews, The Journal of Chemical Physics and The Journal of Physical Chemistry B.
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.