Peter Lindskog

528 total citations
18 papers, 356 citations indexed

About

Peter Lindskog is a scholar working on Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Peter Lindskog has authored 18 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Peter Lindskog's work include Control Systems and Identification (10 papers), Neural Networks and Applications (7 papers) and Fault Detection and Control Systems (5 papers). Peter Lindskog is often cited by papers focused on Control Systems and Identification (10 papers), Neural Networks and Applications (7 papers) and Fault Detection and Control Systems (5 papers). Peter Lindskog collaborates with scholars based in Sweden, France and United States. Peter Lindskog's co-authors include Lennart Ljung, U. Forssell, Qinghua Zhang, Bo Wahlberg, Jonas Sjöberg, Birgitta Sundström, Joanna Tyrcha, Rolf Sundberg, Jacob Roll and Fredrik Lindsten and has published in prestigious journals such as Automatica, International Journal of Adaptive Control and Signal Processing and Journal of Applied Statistics.

In The Last Decade

Peter Lindskog

18 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Lindskog Sweden 10 201 134 36 32 31 18 356
Chung‐Chun Kung Taiwan 10 305 1.5× 177 1.3× 44 1.2× 40 1.3× 20 0.6× 55 454
Behrouz Safarinejadian Iran 14 279 1.4× 167 1.2× 26 0.7× 22 0.7× 54 1.7× 65 492
S. T. United States 2 156 0.8× 147 1.1× 13 0.4× 36 1.1× 27 0.9× 2 322
Vladimı́r Havlena Czechia 10 321 1.6× 69 0.5× 16 0.4× 32 1.0× 33 1.1× 73 436
C.J. Ong Singapore 10 161 0.8× 102 0.8× 6 0.2× 41 1.3× 19 0.6× 25 383
F. Dumortier Belgium 4 224 1.1× 58 0.4× 10 0.3× 37 1.2× 7 0.2× 7 347
Dean K. Frederick United States 10 321 1.6× 67 0.5× 10 0.3× 37 1.2× 87 2.8× 22 510
Yih‐Guang Leu Taiwan 8 474 2.4× 282 2.1× 57 1.6× 30 0.9× 28 0.9× 27 577
Murat Yasar United States 8 160 0.8× 77 0.6× 12 0.3× 17 0.5× 113 3.6× 24 325
George Irwin United Kingdom 12 202 1.0× 222 1.7× 8 0.2× 37 1.2× 42 1.4× 50 489

Countries citing papers authored by Peter Lindskog

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lindskog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Lindskog

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

All Works

18 of 18 papers shown
1.
Lindskog, Peter, et al.. (2021). Self-Supervised Representation Learning for Content Based Image Retrieval of Complex Scenes. KTH Publication Database DiVA (KTH Royal Institute of Technology). 33. 249–256. 1 indexed citations
2.
Ljung, Lennart, et al.. (2009). Developments in The MathWorks System Identification Toolbox. IFAC Proceedings Volumes. 42(10). 522–527. 14 indexed citations
3.
Ljung, Lennart, et al.. (2006). AN INTEGRATED SYSTEM IDENTIFICATION TOOLBOX FOR LINEAR AND NON-LINEAR MODELS. IFAC Proceedings Volumes. 39(1). 931–936. 18 indexed citations
4.
Ljung, Lennart, et al.. (2004). Modeling a Non-Linear Electric Circuit with Black Box and Grey Box Models. 6 indexed citations
5.
Ljung, Lennart, et al.. (2004). Estimation of grey box and black box models for non-linear circuit data. IFAC Proceedings Volumes. 37(13). 399–404. 13 indexed citations
6.
Lindskog, Peter, et al.. (2002). Automatic creation of sequential control schemes in polynomial time. 211–216. 2 indexed citations
7.
Lindskog, Peter & Lennart Ljung. (2000). Ensuring monotonic gain characteristics in estimated models by fuzzy model structures. Automatica. 36(2). 311–317. 52 indexed citations
8.
Tyrcha, Joanna, Rolf Sundberg, Peter Lindskog, & Birgitta Sundström. (2000). Statistical modelling and saddle-point approximation of tail probabilities for accumulated splice loss in fibre-optic networks. Journal of Applied Statistics. 27(2). 245–256. 2 indexed citations
9.
Lindskog, Peter & Lennart Ljung. (1997). Ensuring Certain Physical Properties in Black Box Models by Applying Fuzzy Techniques. IFAC Proceedings Volumes. 30(11). 693–698. 3 indexed citations
10.
Forssell, U. & Peter Lindskog. (1997). Combining Semi-Physical and Neural Network Modeling: An Example ofIts Usefulness. IFAC Proceedings Volumes. 30(11). 767–770. 41 indexed citations
11.
Lindskog, Peter. (1996). Methods, Algorithms and Tools for System Identification Based on Prior Knowledge. 73 indexed citations
12.
Lindskog, Peter. (1996). A System Identification Software Tool for General MISO ARX-Type of Model Structures. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 indexed citations
13.
Lindskog, Peter & Jonas Sjöberg. (1995). A Comparison Between Semi-Physical and Black-Box Neural Net Modeling: A Case Study. KTH Publication Database DiVA (KTH Royal Institute of Technology). 235–238. 6 indexed citations
14.
Lindskog, Peter & Lennart Ljung. (1995). Tools for semiphysical modelling. International Journal of Adaptive Control and Signal Processing. 9(6). 509–523. 31 indexed citations
15.
Lindskog, Peter & Lennart Ljung. (1994). Tools for Semi-Physical Modeling. IFAC Proceedings Volumes. 27(8). 1199–1204. 26 indexed citations
16.
Lindskog, Peter. (1994). Algorithms and Tools for System Identification Using Prior Knowledge. 50 indexed citations
17.
Lindskog, Peter & Bo Wahlberg. (1993). Applications of Kautz Models in System Identification. IFAC Proceedings Volumes. 26(2). 41–44. 14 indexed citations
18.
Lindskog, Peter. (1992). GrafcetTool : a GRAFCET Implementation in G2. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 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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