Daniel Großegger

810 total citations
17 papers, 658 citations indexed

About

Daniel Großegger is a scholar working on Civil and Structural Engineering, Analytical Chemistry and Polymers and Plastics. According to data from OpenAlex, Daniel Großegger has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 6 papers in Analytical Chemistry and 5 papers in Polymers and Plastics. Recurrent topics in Daniel Großegger's work include Asphalt Pavement Performance Evaluation (15 papers), Infrastructure Maintenance and Monitoring (11 papers) and Petroleum Processing and Analysis (6 papers). Daniel Großegger is often cited by papers focused on Asphalt Pavement Performance Evaluation (15 papers), Infrastructure Maintenance and Monitoring (11 papers) and Petroleum Processing and Analysis (6 papers). Daniel Großegger collaborates with scholars based in United Kingdom, China and Austria. Daniel Großegger's co-authors include Álvaro García, Bernhard Hofko, Markus Hospodka, Hinrich Grothe, Florian Handle, Lukas Eberhardsteiner, Josef Füssl, Ronald Blab, Sayeda Nahar and A.J.M. Schmets and has published in prestigious journals such as Construction and Building Materials, Energy & Fuels and Resources Conservation and Recycling.

In The Last Decade

Daniel Großegger

17 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Großegger United Kingdom 12 575 158 152 63 53 17 658
Zhiyang Liu China 14 674 1.2× 160 1.0× 193 1.3× 71 1.1× 40 0.8× 23 778
Valeria Loise Italy 15 738 1.3× 145 0.9× 275 1.8× 87 1.4× 47 0.9× 37 874
Shahin Eskandarsefat Italy 12 606 1.1× 64 0.4× 183 1.2× 65 1.0× 28 0.5× 19 676
Ylva Edwards Sweden 12 666 1.2× 174 1.1× 148 1.0× 121 1.9× 34 0.6× 24 700
Γεώργιος Πιπιντάκος Belgium 16 581 1.0× 176 1.1× 112 0.7× 96 1.5× 34 0.6× 34 682
Xiaokong Yu United States 10 682 1.2× 149 0.9× 161 1.1× 102 1.6× 50 0.9× 12 752
Zhengwu Long China 13 651 1.1× 79 0.5× 130 0.9× 44 0.7× 81 1.5× 25 726
Lukas Eberhardsteiner Austria 13 723 1.3× 237 1.5× 115 0.8× 111 1.8× 51 1.0× 29 868
Chengwei Xing China 20 952 1.7× 80 0.5× 215 1.4× 168 2.7× 111 2.1× 55 1.1k
Kecheng Zhao Hong Kong 15 602 1.0× 144 0.9× 129 0.8× 114 1.8× 35 0.7× 20 645

Countries citing papers authored by Daniel Großegger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Großegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Großegger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Großegger. A scholar is included among the top collaborators of Daniel Großegger 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 Großegger. Daniel Großegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Großegger, Daniel, Mateusz Wyrzykowski, Nikolajs Toropovs, & Pietro Lura. (2025). Exploring the carbon sequestration of an asphalt base course mixture containing novel cold-bonded biochar-rich lightweight aggregates. Materials and Structures. 58(4). 2 indexed citations
2.
Großegger, Daniel, et al.. (2024). A critical review of road network material stocks and flows: Current progress and what we can learn from it. Resources Conservation and Recycling. 205. 107584–107584. 4 indexed citations
3.
Großegger, Daniel. (2022). Material flow analysis study of asphalt in an Austrian municipality. Journal of Industrial Ecology. 26(3). 996–1009. 8 indexed citations
4.
Meng, Yuanyuan, et al.. (2022). Investigation on the erosion mechanism of simulated salt conditions on bitumen. Construction and Building Materials. 334. 127267–127267. 37 indexed citations
5.
Meng, Yuanyuan, et al.. (2022). Research on modification mechanism and performance of an innovative bio-based polyurethane modified asphalt: A sustainable way to reducing dependence on petroleum asphalt. Construction and Building Materials. 350. 128830–128830. 35 indexed citations
6.
Großegger, Daniel. (2021). Fatigue Damage Self-Healing Analysis and the Occurrence of an Optimal Self-Healing Time in Asphalt Concrete. Journal of Materials in Civil Engineering. 33(6). 15 indexed citations
7.
García, Álvaro, et al.. (2021). Optimisation of self-healing properties for asphalts containing encapsulated oil to mitigate reflective cracking and maximize skid and rutting resistance. Construction and Building Materials. 300. 123879–123879. 24 indexed citations
8.
García, Álvaro, et al.. (2021). Properties of Ca-alginate capsules to maximise asphalt self-healing properties. Construction and Building Materials. 284. 122728–122728. 46 indexed citations
9.
Großegger, Daniel, Álvaro García, & Gordon Airey. (2020). The composition of the material phase responsible for the self-healing of macro-cracks in asphalt mortar beams. Road Materials and Pavement Design. 23(3). 656–665. 9 indexed citations
10.
Großegger, Daniel & Álvaro García. (2019). The effect of water and pressure on the self-healing of macro cracks in asphalt mortar beams. Construction and Building Materials. 229. 116941–116941. 18 indexed citations
11.
Großegger, Daniel & Álvaro García. (2019). Influence of the thermal expansion of bitumen on asphalt self-healing. Applied Thermal Engineering. 156. 23–33. 56 indexed citations
12.
Großegger, Daniel, B. Gómez-Meijide, Stefan Vansteenkiste, & Álvaro García. (2018). Influence of rheological and physical bitumen properties on heat-induced self-healing of asphalt mastic beams. Construction and Building Materials. 182. 298–308. 37 indexed citations
13.
Großegger, Daniel, Hinrich Grothe, Bernhard Hofko, & Markus Hospodka. (2017). Fluorescence spectroscopic investigation of bitumen aged by field exposure respectively modified rolling thin film oven test. Road Materials and Pavement Design. 19(4). 992–1000. 29 indexed citations
14.
Handle, Florian, Mourad Harir, Josef Füssl, et al.. (2017). Tracking Aging of Bitumen and Its Saturate, Aromatic, Resin, and Asphaltene Fractions Using High-Field Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Energy & Fuels. 31(5). 4771–4779. 68 indexed citations
15.
Großegger, Daniel. (2016). Microstructural aging of bitumen. 3 indexed citations
16.
Hofko, Bernhard, Lukas Eberhardsteiner, Josef Füssl, et al.. (2015). Impact of maltene and asphaltene fraction on mechanical behavior and microstructure of bitumen. Materials and Structures. 49(3). 829–841. 166 indexed citations
17.
Handle, Florian, Josef Füssl, Daniel Großegger, et al.. (2014). The bitumen microstructure: a fluorescent approach. Materials and Structures. 49(1-2). 167–180. 101 indexed citations

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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