Martin Pottmann

903 total citations
24 papers, 677 citations indexed

About

Martin Pottmann is a scholar working on Control and Systems Engineering, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine. According to data from OpenAlex, Martin Pottmann has authored 24 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Complementary and alternative medicine. Recurrent topics in Martin Pottmann's work include Advanced Control Systems Optimization (22 papers), Fault Detection and Control Systems (13 papers) and Control Systems and Identification (6 papers). Martin Pottmann is often cited by papers focused on Advanced Control Systems Optimization (22 papers), Fault Detection and Control Systems (13 papers) and Control Systems and Identification (6 papers). Martin Pottmann collaborates with scholars based in United States, Germany and Austria. Martin Pottmann's co-authors include Ronald K. Pearson, Dale E. Seborg, S. Joe Qin, Jin Wang, Q. Peter He, H. Unbehauen, Babatunde A. Ogunnaike, Michael A. Henson, James S. Schwaber and Bryan J. Ennis and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.

In The Last Decade

Martin Pottmann

23 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Pottmann United States	12	572	140	84	44	37	24	677
S.L. Shah Canada	13	802 1.4×	107 0.8×	82 1.0×	9 0.2×	74 2.0×	27	880
Ramesh Kadali Canada	10	526 0.9×	86 0.6×	50 0.6×	7 0.2×	58 1.6×	22	587
P.R. Krishnaswamy Singapore	15	562 1.0×	113 0.8×	29 0.3×	64 1.5×	17 0.5×	47	735
Swanand Khare India	11	320 0.6×	128 0.9×	67 0.8×	15 0.3×	47 1.3×	33	475
Yingqing Guo China	10	259 0.5×	85 0.6×	74 0.9×	20 0.5×	24 0.6×	68	410
Xuejin Gao China	13	365 0.6×	199 1.4×	92 1.1×	8 0.2×	30 0.8×	76	503
Runda Jia China	16	349 0.6×	217 1.6×	61 0.7×	13 0.3×	18 0.5×	61	553
Fan Guo China	12	251 0.4×	79 0.6×	114 1.4×	15 0.3×	29 0.8×	35	400
Zenghui Huang China	4	212 0.4×	66 0.5×	44 0.5×	14 0.3×	15 0.4×	9	329
Ivan Goethals Belgium	11	398 0.7×	53 0.4×	82 1.0×	41 0.9×	38 1.0×	17	564

Countries citing papers authored by Martin Pottmann

Since Specialization

Citations

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

Fields of papers citing papers by Martin Pottmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pottmann

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pottmann. A scholar is included among the top collaborators of Martin Pottmann 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 Pottmann. Martin Pottmann 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

Pottmann, Martin, et al.. (2024). Improving extrapolation capabilities of a data-driven prediction model for control of an air separation unit. Computers & Chemical Engineering. 194. 108953–108953. 2 indexed citations

Wunderlich, Bernd, et al.. (2023). Reduced order modeling of a pressure column of an air separation unit using the Dynamic Edmister Method. Computers & Chemical Engineering. 174. 108250–108250. 5 indexed citations

Pottmann, Martin, et al.. (2023). Nonlinear hybrid control model for accurate steady-state predictions. Computers & Chemical Engineering. 178. 108368–108368. 1 indexed citations

Wunderlich, Bernd, et al.. (2022). Development of control strategies for an air separation unit with a divided wall column using a pressure-driven digital twin. Chemical Engineering and Processing - Process Intensification. 176. 108893–108893. 11 indexed citations

Wunderlich, Bernd, et al.. (2022). Improving the load flexibility of industrial air separation units using a pressure‐driven digital twin. AIChE Journal. 68(7). 14 indexed citations

Caspari, Adrian, et al.. (2020). A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control. Journal of Process Control. 91. 12–24. 24 indexed citations

He, Q. Peter, Jin Wang, Martin Pottmann, & S. Joe Qin. (2007). A Curve Fitting Method for Detecting Valve Stiction in Oscillating Control Loops. Industrial & Engineering Chemistry Research. 46(13). 4549–4560. 126 indexed citations

Rybak, Ilya A., Martin Pottmann, Babatunde A. Ogunnaike, & James S. Schwaber. (2005). A closed-loop model of the respiratory control system. 1. 275–279. 3 indexed citations

Pottmann, Martin, Michael A. Henson, Babatunde A. Ogunnaike, & James S. Schwaber. (2005). A parallel control strategy abstracted from the baroreceptor reflex. 1. 97–101.

10.

Pottmann, Martin, Babatunde A. Ogunnaike, & James S. Schwaber. (2004). Development and Implementation of a High-Performance Sensor System for an Industrial Polymer Reactor. Industrial & Engineering Chemistry Research. 44(8). 2606–2620. 8 indexed citations

11.

Pearson, Ronald K. & Martin Pottmann. (2000). Combining Linear Dynamics and Static Nonlinearities. IFAC Proceedings Volumes. 33(10). 479–484. 2 indexed citations

12.

Pottmann, Martin, et al.. (2000). Model-based control of a granulation system. Powder Technology. 108(2-3). 192–201. 30 indexed citations

13.

Pearson, Ronald K. & Martin Pottmann. (2000). Gray-box identification of block-oriented nonlinear models. Journal of Process Control. 10(4). 301–315. 195 indexed citations

14.

Henson, Michael A., et al.. (1999). Direct adaptive control of partially known nonlinear systems. IEEE Transactions on Neural Networks. 10(3). 714–721. 21 indexed citations

15.

Pottmann, Martin & Ronald K. Pearson. (1998). Block‐oriented NARMAX models with output multiplicities. AIChE Journal. 44(1). 131–140. 49 indexed citations

16.

Henson, Michael A., et al.. (1997). Direct Adaptive Control of Partially Known Nonlinear Systems. IFAC Proceedings Volumes. 30(9). 445–450. 1 indexed citations

17.

Pottmann, Martin & Dale E. Seborg. (1997). A nonlinear predictive control strategy based on radial basis function models. Computers & Chemical Engineering. 21(9). 965–980. 71 indexed citations

18.

Pottmann, Martin & Michael A. Henson. (1997). Compactly supported radial basis functions for adaptive process control. Journal of Process Control. 7(5). 345–356. 9 indexed citations

19.

Pottmann, Martin, et al.. (1995). Radial basis function networks for internal model control. Applied Mathematics and Computation. 70(2-3). 283–298. 4 indexed citations

20.

Pottmann, Martin, H. Unbehauen, & Dale E. Seborg. (1993). Application of a general multi-model approach for identification of highly nonlinear processes-a case study. International Journal of Control. 57(1). 97–120. 63 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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