Manfred Deistler

4.3k total citations · 1 hit paper
116 papers, 2.6k citations indexed

About

Manfred Deistler is a scholar working on Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Manfred Deistler has authored 116 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 16 papers in Cognitive Neuroscience. Recurrent topics in Manfred Deistler's work include Control Systems and Identification (42 papers), Fault Detection and Control Systems (20 papers) and Statistical and numerical algorithms (13 papers). Manfred Deistler is often cited by papers focused on Control Systems and Identification (42 papers), Fault Detection and Control Systems (20 papers) and Statistical and numerical algorithms (13 papers). Manfred Deistler collaborates with scholars based in Austria, Australia and Germany. Manfred Deistler's co-authors include E. J. Hannan, Brian D. O. Anderson, Jonathan D. Cryer, Wolfgang Scherrer, Howell Tong, Dietmar Bauer, William T. M. Dunsmuir, Lorenzo Farina, Luca Benvenuti and Dennis J. Aigner and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics.

In The Last Decade

Manfred Deistler

107 papers receiving 2.4k citations

Hit Papers

The Statistical Theory of Linear Systems 1990 2026 2002 2014 1990 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manfred Deistler Austria 23 1.2k 469 465 435 430 116 2.6k
Rainer Dahlhaus Germany 25 326 0.3× 1.4k 3.0× 804 1.7× 1.4k 3.2× 550 1.3× 52 3.5k
Will Gersch United States 23 424 0.4× 189 0.4× 164 0.4× 136 0.3× 116 0.3× 56 2.0k
Jinchi Lv United States 17 257 0.2× 317 0.7× 2.3k 5.0× 327 0.8× 121 0.3× 42 3.9k
Regina Y. Liu United States 23 145 0.1× 184 0.4× 1.6k 3.4× 191 0.4× 121 0.3× 44 2.3k
Ricardo Fraiman Uruguay 27 167 0.1× 143 0.3× 1.6k 3.5× 146 0.3× 42 0.1× 88 2.7k
Heng Lian China 24 250 0.2× 148 0.3× 1.3k 2.9× 125 0.3× 41 0.1× 222 1.9k
Pengjian Shang China 33 437 0.4× 3.0k 6.3× 69 0.1× 570 1.3× 45 0.1× 288 4.6k
Juan Romo Spain 16 57 0.0× 188 0.4× 596 1.3× 239 0.5× 125 0.3× 58 1.2k
Hisashi Tanizaki Japan 15 135 0.1× 227 0.5× 161 0.3× 182 0.4× 100 0.2× 41 895
Heng Peng China 18 169 0.1× 160 0.3× 1.3k 2.8× 162 0.4× 69 0.2× 59 2.0k

Countries citing papers authored by Manfred Deistler

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Deistler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manfred Deistler

This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Deistler. A scholar is included among the top collaborators of Manfred Deistler 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 Manfred Deistler. Manfred Deistler 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.
Deistler, Manfred, et al.. (2023). Reconciling the Theory of Factor Sequences. SSRN Electronic Journal. 2 indexed citations
2.
Deistler, Manfred. (2019). Singular arma systems: A structure theory. Numerical Algebra Control and Optimization. 9(3). 383–391. 6 indexed citations
3.
Waser, Markus, Heinrich Garn, Reinhold Schmidt, et al.. (2015). Quantifying synchrony patterns in the EEG of Alzheimer’s patients with linear and non-linear connectivity markers. Journal of Neural Transmission. 123(3). 297–316. 20 indexed citations
4.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2014). Quantitative EEG in Alzheimer's disease: Cognitive state, resting state and association with disease severity. International Journal of Psychophysiology. 93(3). 390–397. 33 indexed citations
5.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2014). Quantitative EEG markers relate to Alzheimer’s disease severity in the Prospective Dementia Registry Austria (PRODEM). Clinical Neurophysiology. 126(3). 505–513. 41 indexed citations
6.
Flamm, Christoph, et al.. (2013). Influence analysis for high-dimensional time series with an application to epileptic seizure onset zone detection. Journal of Neuroscience Methods. 214(1). 80–90. 8 indexed citations
7.
Hartmann, M., et al.. (2013). A novel method for the identification of synchronization effects in multichannel ECoG with an application to epilepsy. Biological Cybernetics. 107(3). 321–335. 4 indexed citations
8.
Anderson, Brian D. O., et al.. (2012). Autoregressive models of singular spectral matrices. Automatica. 48(11). 2843–2849. 11 indexed citations
9.
Flamm, Christoph, et al.. (2012). A physiologically motivated ECoG segmentation method for epileptic seizure onset zone detection. PubMed. 120. 3500–3503. 1 indexed citations
10.
Zamani, Mohsen, et al.. (2011). On the zeros of blocked linear systems with single and mixed frequency data. ANU Open Research (Australian National University). 4312–4317. 9 indexed citations
11.
Hartmann, M., et al.. (2009). Regression-based analysis of synchronization in multichannel EEG in epilepsy. PubMed. 34. 4743–4746. 1 indexed citations
12.
Deistler, Manfred, et al.. (2007). MODELLING HIGH-DIMENSIONAL TIME SERIES BY GENERALIZED LINEAR DYNAMIC FACTOR MODELS: AN INTRODUCTORY SURVEY. Communications in Information and Systems. 7(2). 153–166. 12 indexed citations
13.
Bai, Er‐Wei & Manfred Deistler. (2007). An interactive term approach to non-parametric FIR nonlinear system identification. 31. 5086–5091. 1 indexed citations
14.
Deistler, Manfred. (1996). Time series econometrics. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 9(3). 165–179. 4 indexed citations
15.
Bartholomew, David J., et al.. (1993). Statistical modelling and latent variables. Institutional Research Information System (Università degli Studi di Trento). 31 indexed citations
16.
Deistler, Manfred & Liqun Wang. (1989). The common structure of parametrizations for linear systems. Linear Algebra and its Applications. 122-124. 921–941. 1 indexed citations
17.
Reschenhofer, Erhard, et al.. (1987). Segmentation of the EEG by Minimization of the Total Gain in Information. Neuropsychobiology. 18(3). 155–159. 1 indexed citations
18.
Deistler, Manfred, et al.. (1982). Games, economic dynamics, and time series analysis : a symposium in Memoriam Oskar Morgenstern organized at the Institute for Advanced Studies, Viena. Physica-Verlag eBooks. 2 indexed citations
19.
Deistler, Manfred & E. J. Hannan. (1981). Some properties of the parameterization of ARMA systems with unknown order. Journal of Multivariate Analysis. 11(4). 474–484. 38 indexed citations
20.
Hannan, E. J., William T. M. Dunsmuir, & Manfred Deistler. (1980). Estimation of vector ARMAX models. Journal of Multivariate Analysis. 10(3). 275–295. 54 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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