D. Neumerkel

698 total citations · 1 hit paper
9 papers, 458 citations indexed

About

D. Neumerkel is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, D. Neumerkel has authored 9 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 2 papers in Mechanics of Materials. Recurrent topics in D. Neumerkel's work include Neural Networks and Applications (4 papers), Control Systems and Identification (4 papers) and Advanced Control Systems Optimization (3 papers). D. Neumerkel is often cited by papers focused on Neural Networks and Applications (4 papers), Control Systems and Identification (4 papers) and Advanced Control Systems Optimization (3 papers). D. Neumerkel collaborates with scholars based in Germany, United Kingdom and France. D. Neumerkel's co-authors include Mark G. Arnold, Torsten Blochwitz, Jakob Mauss, Andreas Junghanns, Maristela Monteiro, Steven E. Wolf, H. Elmqvist, Hans Olsson, Christoph Clauß and Martin Otter and has published in prestigious journals such as IEEE Control Systems, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and Linköping electronic conference proceedings.

In The Last Decade

D. Neumerkel

8 papers receiving 416 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Functional Mockup Interface for Tool independent Exchange of Simulation Models

2011 369 citations Torsten Blochwitz, Martin Otter et al. Linköping electronic conference proceedings profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Neumerkel Germany	5	209	155	145	60	58	9	458
Torsten Blochwitz Germany	8	267 1.3×	216 1.4×	218 1.5×	80 1.3×	87 1.5×	26	589
Antoine Viel France	5	157 0.8×	138 0.9×	123 0.8×	39 0.7×	42 0.7×	6	366
Cheng Pang Sweden	15	88 0.4×	186 1.2×	16 0.1×	253 4.2×	68 1.2×	70	757
Fabio Danilo Torrisi Switzerland	12	586 2.8×	125 0.8×	13 0.1×	127 2.1×	41 0.7×	14	738
H.A. Thompson United Kingdom	13	191 0.9×	39 0.3×	15 0.1×	59 1.0×	43 0.7×	58	543
Yindong Ji China	12	263 1.3×	32 0.2×	15 0.1×	54 0.9×	7 0.1×	57	491
Kaddour Najim Finland	8	184 0.9×	48 0.3×	60 0.4×	83 1.4×	7 0.1×	18	534
Jan Kronqvist Finland	10	268 1.3×	109 0.7×	35 0.2×	83 1.4×	3 0.1×	25	524

Countries citing papers authored by D. Neumerkel

Since Specialization

Citations

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

Fields of papers citing papers by D. Neumerkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Neumerkel

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

All Works

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9 of 9 papers shown

1.

Blochwitz, Torsten, Martin Otter, Mark G. Arnold, et al.. (2011). The Functional Mockup Interface for Tool independent Exchange of Simulation Models. Linköping electronic conference proceedings. 63. 105–114. 369 indexed citations breakdown →

2.

Neumerkel, D., Roderick Murray‐Smith, & H. Gollee. (2005). Modelling dynamic processes with clustered time-delay neurons. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2. 1765–1768.

3.

Murray‐Smith, Roderick, D. Neumerkel, & Daniel Sbárbaro. (2003). Neural networks for modelling and control of a non-linear dynamic system. 404–409. 17 indexed citations

4.

Sbárbaro, Daniel, D. Neumerkel, & Kate Hunt. (2003). Neural control of a steel rolling mill. 122–127. 1 indexed citations

5.

Neumerkel, D., et al.. (2002). Fahrermodelle - Ein Schlüssel für unfallfreies Fahren?.. Künstliche Intell.. 16. 34–36. 4 indexed citations

6.

Neumerkel, D., et al.. (2002). Robust learning algorithms for nonlinear filtering. 6. 3565–3568. 1 indexed citations

7.

Fechner, Thomas, D. Neumerkel, & Ianus Keller. (1994). Adaptive neural network filter for steel rolling. 3915–3920 vol.6. 8 indexed citations

8.

Neumerkel, D., et al.. (1994). Real-Time Application of Neural Model Predictive Control for an Induction Servo Drive. 7 indexed citations

9.

Sbárbaro, Daniel, D. Neumerkel, & Kate Hunt. (1993). Neural control of a steel rolling mill. IEEE Control Systems. 13(3). 69–75. 51 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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