Harald Waschl

56 total papers · 883 total citations
47 papers, 689 citations indexed

About

Harald Waschl is a scholar working on Control and Systems Engineering, Automotive Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Harald Waschl has authored 47 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 22 papers in Automotive Engineering and 21 papers in Fluid Flow and Transfer Processes. Recurrent topics in Harald Waschl's work include Advanced Combustion Engine Technologies (21 papers), Vehicle emissions and performance (16 papers) and Advanced Control Systems Optimization (12 papers). Harald Waschl is often cited by papers focused on Advanced Combustion Engine Technologies (21 papers), Vehicle emissions and performance (16 papers) and Advanced Control Systems Optimization (12 papers). Harald Waschl collaborates with scholars based in Austria, Italy and Germany. Harald Waschl's co-authors include Luigi del Re, Roman Schmied, Dominik Moser, Ilya Kolmanovsky, Daniel Alberer, M. Steinbuch, Harald Kirchsteiger, Rien Quirynen, Moritz Diehl and Luca Zaccarian and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Dynamic Systems Measurement and Control.

In The Last Decade

Harald Waschl

45 papers receiving 676 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Harald Waschl 468 418 143 133 68 47 689
Junfeng Zhao 204 0.4× 160 0.4× 390 2.7× 85 0.6× 45 0.7× 61 669
Mohammad Reza Amini 595 1.3× 189 0.5× 375 2.6× 82 0.6× 25 0.4× 48 792
John Michelini 545 1.2× 309 0.7× 252 1.8× 61 0.5× 102 1.5× 26 679
Qun Wang 211 0.5× 193 0.5× 210 1.5× 11 0.1× 32 0.5× 51 624
Zachary D. Asher 497 1.1× 103 0.2× 301 2.1× 40 0.3× 30 0.4× 61 623
Behrooz Mashadi 547 1.2× 254 0.6× 144 1.0× 55 0.4× 7 0.1× 53 783
Sahaya Beni Prathiba 122 0.3× 85 0.2× 232 1.6× 105 0.8× 15 0.2× 52 769
Jiaxin Chen 444 0.9× 111 0.3× 376 2.6× 14 0.1× 19 0.3× 41 701
Hongqing Chu 316 0.7× 228 0.5× 134 0.9× 16 0.1× 16 0.2× 50 572
Dominik Karbowski 586 1.3× 255 0.6× 324 2.3× 44 0.3× 86 1.3× 72 679

Countries citing papers authored by Harald Waschl

Since Specialization
Citations

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

Fields of papers citing papers by Harald Waschl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Waschl

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

All Works

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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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2026