Daniel Alberer

510 citations
44 papers · 419 · h-index 11

Impact in

Papers in

Daniel Alberer

43 papers receiving 391 citations

Peers

Daniel Alberer
Comparison fields: 5 of 39
  • Fluid Flow and Transfer Processes 240
  • Automotive Engineering 196
  • Control and Systems Engineering 202
  • Mechanical Engineering 60
  • Computational Mechanics 31
Replace Nicholas P. Fekete with:
Nicholas P. Fekete Germany
Joschka Schaub Germany
Ashwin A. Salvi United States
Rafał Longwic Poland
A. D. Pilley United Kingdom
Stephen G. Russ France
Ahmed Abdul Moiz United States
Roland J. Wanker Austria
Shuman Guo China
Janardhan Kodavasal United States
Daniel Alberer relative to Nicholas P. Fekete Germany Nicholas P. Fekete's profile →
Citations per field
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Nicholas P. Fekete · 1×
Citations per year

Countries citing papers authored by Daniel Alberer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Alberer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200941
2 200533
3 200830
4 201430
5 201028
6 200927
7 201419
8 201318
9 201117
10 201215
11 201313
12 200810
13 201110
14 201010
15 20119
16 20127
17 20106
18 20116
19 20096
20 20066

About Daniel Alberer

Daniel Alberer is a scholar working on Fluid Flow and Transfer Processes, Control and Systems Engineering, Automotive Engineering, Mechanical Engineering and Materials Chemistry, having authored 44 papers that have together received 419 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (24 papers), Advanced Control Systems Optimization (15 papers), Vehicle emissions and performance (12 papers), Fault Detection and Control Systems (10 papers), Control Systems and Identification (10 papers), Real-time simulation and control systems (9 papers), Catalytic Processes in Materials Science (7 papers) and Hydraulic and Pneumatic Systems (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (240 citations), Automotive Engineering (196 citations), Control and Systems Engineering (202 citations), Mechanical Engineering (60 citations) and Computational Mechanics (31 citations). Daniel Alberer has collaborated with scholars based in Austria, Italy and France. Frequent co-authors include Luigi del Re, Harald Waschl, Peter B. Ortner, Luca Zaccarian, Stephan Winkler, Simone Formentin, Peter Langthaler, Mazen Alamir, Sergio Matteo Savaresi and Matteo Corno. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Lecture notes in control and information sciences, International Journal of Engine Research, SAE International Journal of Engines and IEEE Transactions on Control Systems Technology.

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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