Max Mulder

7.9k total citations
524 papers, 5.8k citations indexed

About

Max Mulder is a scholar working on Aerospace Engineering, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Max Mulder has authored 524 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 375 papers in Aerospace Engineering, 320 papers in Social Psychology and 90 papers in Control and Systems Engineering. Recurrent topics in Max Mulder's work include Human-Automation Interaction and Safety (318 papers), Aerospace and Aviation Technology (304 papers) and Air Traffic Management and Optimization (210 papers). Max Mulder is often cited by papers focused on Human-Automation Interaction and Safety (318 papers), Aerospace and Aviation Technology (304 papers) and Air Traffic Management and Optimization (210 papers). Max Mulder collaborates with scholars based in Netherlands, Germany and United States. Max Mulder's co-authors include M. M. van Paassen, Daan M. Pool, David A. Abbink, Peter Zaal, Clark Borst, J.A. Mulder, T. Mung Lam, Olaf Stroosma, Herman Damveld and Mark Mulder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Experimental Brain Research.

In The Last Decade

Max Mulder

500 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Mulder Netherlands	35	3.4k	3.2k	1.1k	694	675	524	5.8k
M. M. van Paassen Netherlands	34	2.9k 0.9×	2.9k 0.9×	1.1k 0.9×	636 0.9×	487 0.7×	440	5.0k
Duane T. McRuer United States	30	2.0k 0.6×	1.1k 0.4×	1.6k 1.4×	773 1.1×	260 0.4×	110	4.1k
Dirk Wollherr Germany	33	684 0.2×	691 0.2×	1.2k 1.0×	860 1.2×	168 0.2×	183	3.4k
C. Thorpe United States	35	1.9k 0.6×	498 0.2×	1.0k 0.9×	1.5k 2.2×	198 0.3×	121	5.5k
Luis M. Bergasa Spain	38	1.1k 0.3×	534 0.2×	356 0.3×	1.3k 1.8×	371 0.5×	174	5.6k
Miguel Ángel Sotelo Spain	39	804 0.2×	435 0.1×	1.5k 1.3×	2.0k 2.9×	566 0.8×	228	6.4k
Hajime Asama Japan	31	1.2k 0.4×	321 0.1×	1.7k 1.5×	457 0.7×	125 0.2×	580	5.7k
Houshyar Asadi Australia	32	954 0.3×	503 0.2×	783 0.7×	931 1.3×	106 0.2×	131	2.3k
Terrence Fong United States	29	575 0.2×	2.7k 0.9×	1.7k 1.5×	147 0.2×	59 0.1×	84	5.2k
Rüdiger Dillmann Germany	42	1.2k 0.4×	446 0.1×	3.6k 3.2×	729 1.1×	161 0.2×	403	7.2k

Countries citing papers authored by Max Mulder

Since Specialization

Citations

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

Fields of papers citing papers by Max Mulder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Mulder

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

All Works

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20 of 20 papers shown

Landman, Annemarie, et al.. (2025). Preliminary Multilevel Confirmatory Factor Analysis of the Startle and Surprise Inventories using Simulated Flight Scenarios. Journal of Cognitive Engineering and Decision Making.

Pool, Daan M., et al.. (2025). Online Identification and Detection of Manual Control Adaptation with Recursive Time Series. Journal of Guidance Control and Dynamics. 48(5). 1112–1123.

Pool, Daan M., et al.. (2025). Predicting Human Operators' Detection of Time-Varying Changes in Controlled Element Dynamics.

Blundell, James, Annemarie Landman, Eric L. Groen, et al.. (2025). Startle and surprise in helicopter operations: reported prevalence and application of mitigation strategies. Cognition Technology & Work. 27(3). 579–590. 1 indexed citations

Pool, Daan M., et al.. (2023). Using the Hess Adaptive Pilot Model for Modeling Human Operator's Control Adaptations in Pursuit Tracking. AIAA SCITECH 2023 Forum. 1 indexed citations

Paassen, M. M. van, et al.. (2022). Reducing Motion Sickness by Manipulating an Autonomous Vehicle's Accelerations. IFAC-PapersOnLine. 55(29). 132–137. 7 indexed citations

Pool, Daan M., et al.. (2022). Predicting Human Control Adaptation from Statistical Variations in Tracking Error and Error Rate. IFAC-PapersOnLine. 55(29). 166–171. 2 indexed citations

Borst, Clark, et al.. (2022). Situation Awareness Prompts: Bridging the Gap between Supervisory and Manual Air Traffic Control. IFAC-PapersOnLine. 55(29). 13–18. 1 indexed citations

Mulder, Max, et al.. (2022). Neuroscience Perspectives on Adaptive Manual Control with Pursuit Displays. IFAC-PapersOnLine. 55(29). 160–165. 2 indexed citations

10.

Paassen, M. M. van, et al.. (2015). Haptic Guidance, Interaction Between the Guidance Model and Tuning. 410. 1 indexed citations

11.

Woltjer, Rogier, et al.. (2015). Experimental Investigation of Flight Crew Strategies in Handling Unexpected Events. Journal of Bioresource Management. 342. 2 indexed citations

12.

Pool, Daan M., et al.. (2014). Identification of multimodal control behavior in pursuit tracking tasks. 63–68. 6 indexed citations

13.

Borst, Clark, et al.. (2013). Experimental evaluation of a joint cognitive system for 4D trajectory management. Chalmers Research (Chalmers University of Technology). 2 indexed citations

14.

Borst, Clark, et al.. (2013). Designing for Joint Human-Automation Cognition Through a Shared Representation of 4D Trajectory Management. Journal of Bioresource Management. 518. 1 indexed citations

15.

Paassen, M. M. van, et al.. (2011). Air Traffic Control Interface for Creating 4D Inbound Trajectories. Journal of Bioresource Management. 263. 1 indexed citations

16.

Mulder, Mark, David A. Abbink, M. M. van Paassen, et al.. (2011). Identification of time variant neuromuscular admittance using wavelets. 1474–1480. 14 indexed citations

17.

Mulder, Mark, et al.. (2009). A Human-Machine Interface for Replanning of 4D Trajectories. Journal of Bioresource Management. 160. 1 indexed citations

18.

Borst, Clark, et al.. (2007). An Ecological Approach to Support Pilot Terrain Awareness After Total Engine Failure. Journal of Bioresource Management. 657. 4 indexed citations

19.

Paassen, M. M. van, et al.. (2005). “Meaningful Physics” or Finding a System Description Suitable for Ecological Interface Design. 772. 3 indexed citations

20.

Flach, John M., Max Mulder, & M. M. van Paassen. (2004). The Concept of the ‘Situation” in Psychology. Journal of Bioresource Management. 52(307). 42–60. 32 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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