Martin Nijs

642 total citations
31 papers, 471 citations indexed

About

Martin Nijs is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Control and Systems Engineering. According to data from OpenAlex, Martin Nijs has authored 31 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Automotive Engineering, 13 papers in Fluid Flow and Transfer Processes and 12 papers in Control and Systems Engineering. Recurrent topics in Martin Nijs's work include Vehicle emissions and performance (15 papers), Advanced Combustion Engine Technologies (13 papers) and Real-time simulation and control systems (12 papers). Martin Nijs is often cited by papers focused on Vehicle emissions and performance (15 papers), Advanced Combustion Engine Technologies (13 papers) and Real-time simulation and control systems (12 papers). Martin Nijs collaborates with scholars based in Germany, United States and Netherlands. Martin Nijs's co-authors include Raymond van Ee, A. J. Noest, Richard van Wezel, Stefan Pischinger, Gijs Joost Brouwer, P. Christiaan Klink, Johannes Scharf, Johannes Claßen, Stefan Sterlepper and Jakob Andert and has published in prestigious journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and Energies.

In The Last Decade

Martin Nijs

31 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Nijs Germany 11 265 179 103 68 51 31 471
Werner Willems Germany 12 56 0.2× 93 0.5× 248 2.4× 8 0.1× 1 0.0× 25 534
Jinbo Zhang China 10 96 0.4× 20 0.1× 4 0.0× 14 0.2× 9 0.2× 45 293
Thomas Confrey Ireland 5 131 0.5× 148 0.8× 2 0.0× 19 0.3× 1 0.0× 12 439
J.W.A.M. Alferdinck Netherlands 11 132 0.5× 58 0.3× 9 0.1× 23 0.5× 22 429
Betsy Williams United States 12 259 1.0× 132 0.7× 58 0.9× 11 0.2× 25 816
Atsuki Higashiyama Japan 14 374 1.4× 93 0.5× 6 0.1× 15 0.3× 47 488
Massimiliano Martinelli Italy 12 88 0.3× 49 0.3× 15 0.2× 3 0.1× 36 477
M.J. Ouellette Canada 8 118 0.4× 17 0.1× 11 0.2× 39 0.8× 15 370
Alex D. Hwang United States 12 274 1.0× 21 0.1× 5 0.1× 4 0.1× 38 524

Countries citing papers authored by Martin Nijs

Since Specialization
Citations

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

Fields of papers citing papers by Martin Nijs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Nijs

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

All Works

20 of 20 papers shown
1.
Pischinger, Stefan, et al.. (2024). Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration. SHILAP Revista de lepidopterología. 4(1). 46–66. 2 indexed citations
2.
Claßen, Johannes, et al.. (2021). Modelling of Gasoline Engine-Out Emissions Using Artificial Neural Networks. 2 indexed citations
3.
Claßen, Johannes, et al.. (2021). Hardware-in-the-Loop Based Virtual Emission Calibration for a Gasoline Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 12 indexed citations
4.
5.
Sterlepper, Stefan, et al.. (2020). Gasoline Particulate Filter Characterization Focusing on the Filtration Efficiency of Nano-Particulates Down to 10 nm. SAE technical papers on CD-ROM/SAE technical paper series. 1. 19 indexed citations
6.
Claßen, Johannes, et al.. (2020). Statistically supported real driving emission calibration: Using cycle generation to provide vehicle-specific and statistically representative test scenarios for Euro 7. International Journal of Engine Research. 21(10). 1783–1799. 32 indexed citations
7.
Claßen, Johannes, et al.. (2020). Analysis of Drivability Influence on Tailpipe Emissions in Early Stages of a Vehicle Development Program by Means of Engine-in-the-Loop Test Benches. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
8.
Sterlepper, Stefan, Johannes Claßen, Stefan Pischinger, et al.. (2019). Analysis of the Emission Conversion Performance of Gasoline Particulate Filters Over Lifetime. SAE International Journal of Advances and Current Practices in Mobility. 2(2). 710–720. 10 indexed citations
9.
Takahashi, Hideo, et al.. (2019). Objectified Drivability Evaluation of Automated Longitudinal Drive Maneuvers with Engine Load Changes at Highly Dynamic EiL Test Benches. Transactions of the Society of Automotive Engineers of Japan. 50(6). 1587–1592. 1 indexed citations
10.
Andert, Jakob, et al.. (2019). Experimental Proof-of-Concept of HiL Based Virtual Calibration for a Gasoline Engine with a Three-Way-Catalyst. SAE technical papers on CD-ROM/SAE technical paper series. 1. 11 indexed citations
11.
Pischinger, Stefan, et al.. (2019). Objektivierung der Fahrbarkeit von Pkw auf dynamischen EiL-Motorprüfständen. 24(S1). 50–57. 4 indexed citations
12.
Andert, Jakob, et al.. (2018). High efficient propulsion system calibration employing engine-in-the-loop test facilities. RWTH Publications (RWTH Aachen). 1 indexed citations
13.
Scharf, Johannes, Johannes Claßen, Martin Nijs, et al.. (2017). Current and future trends of gasoline particulate filter technologies, calibration strategies and aging methods. RWTH Publications (RWTH Aachen). 10 indexed citations
14.
Pischinger, Stefan, et al.. (2013). Drivetrain Energy Distribution and Losses from Fuel to Wheel. SAE International Journal of Passenger Cars - Mechanical Systems. 6(3). 1528–1537. 5 indexed citations
15.
Nijs, Martin, et al.. (2012). Optimierte Auslegung von Hybridantriebssträngen unter Realen Fahrbedingungen. ATZ - Automobiltechnische Zeitschrift. 114(6). 534–541. 4 indexed citations
16.
Nijs, Martin, et al.. (2010). Steuergerätefähige Luftpfadmodelle Für Ottomotoren Mit Erweiterter Ventiltriebsvariabilität. MTZ - Motortechnische Zeitschrift. 71(11). 824–831. 1 indexed citations
17.
Nijs, Martin, et al.. (2010). Air path models for gasoline engines with extended valve train variability. MTZ worldwide. 71(11). 64–71. 2 indexed citations
18.
Klink, P. Christiaan, Raymond van Ee, Martin Nijs, et al.. (2008). Early interactions between neuronal adaptation and voluntary control determine perceptual choices in bistable vision. Journal of Vision. 8(5). 16–16. 85 indexed citations
19.
Noest, A. J., Raymond van Ee, Richard van Wezel, P. Christiaan Klink, & Martin Nijs. (2007). Bistable percept-choice dynamics explained by early interactions between stimulus timing, voluntary bias, and perceptual history. Perception. 36. 143–143. 1 indexed citations
20.
Noest, A. J., Raymond van Ee, Martin Nijs, & Richard van Wezel. (2007). Percept-choice sequences driven by interrupted ambiguous stimuli: A low-level neural model. Journal of Vision. 7(8). 10–10. 183 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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