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.
Nonlinear black-box modeling in system identification: a unified overview
Citations per year, relative to Jonas Sjöberg Jonas Sjöberg (= 1×)
peers
Stephen Yurkovich
Countries citing papers authored by Jonas Sjöberg
Since
Specialization
Citations
This map shows the geographic impact of Jonas Sjöberg'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 Jonas Sjöberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Sjöberg more than expected).
This network shows the impact of papers produced by Jonas Sjöberg. 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 Jonas Sjöberg. The network helps show where Jonas Sjöberg may publish in the future.
Co-authorship network of co-authors of Jonas Sjöberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Sjöberg.
A scholar is included among the top collaborators of Jonas Sjöberg 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 Jonas Sjöberg. Jonas Sjöberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gelso, Esteban R. & Jonas Sjöberg. (2015). Towards a consistent threat assessment at traffic junctions using road information and naturalistic data: A test example. Chalmers Publication Library (Chalmers University of Technology).2 indexed citations
7.
Brännström, Mattias, Erik Coelingh, & Jonas Sjöberg. (2011). Decision Making on when to Brake and when to Steer to Avoid a Collision. Chalmers Publication Library (Chalmers University of Technology).5 indexed citations
8.
Fredriksson, Jonas, et al.. (2011). On emission certification of heavy-duty hybrid electric vehicles using hardware-in-the-loop simulation. Chalmers Publication Library (Chalmers University of Technology). 57(27). 1823–7.2 indexed citations
9.
Sjöberg, Jonas, et al.. (2010). Driver models to increase the potential of automotive active safety functions. Chalmers Publication Library (Chalmers University of Technology). 204–208.5 indexed citations
10.
Ali, Mohammad, Paolo Falcone, & Jonas Sjöberg. (2009). A PREDICTIVE APPROACH TO ROADWAY DEPARTURE PREVENTION. International Journal of Hematology. 69(3). 200–2.8 indexed citations
11.
Ali, Mohammad & Jonas Sjöberg. (2009). Impact of Different Vehicle Models on Threat Assessment in Critical Curve Situations. Chalmers Publication Library (Chalmers University of Technology). 2009.2 indexed citations
Sjöberg, Jonas, et al.. (2004). Modeling and Validation of an Automatic Transmission Model for Improving Gear-shift Properties. Chalmers Publication Library (Chalmers University of Technology).1 indexed citations
14.
Sjöberg, Jonas, et al.. (2002). Estimating Parameters in Physical Models using MathModelica. Chalmers Publication Library (Chalmers University of Technology).2 indexed citations
15.
Sjöberg, Jonas & Per‐Olof Gutman. (1999). Nonlinear Identification of the Position Sled Dynamics of a CD Player. Chalmers Publication Library (Chalmers University of Technology).1 indexed citations
16.
Sjöberg, Jonas, et al.. (1998). Some aspects of neural nets and related model structures for nonlinear system identification. Chalmers Publication Library (Chalmers University of Technology).2 indexed citations
Sjöberg, Jonas. (1996). Nonlinear Black-Box Structures - Some Approaches And Some Examples. Chalmers Publication Library (Chalmers University of Technology).4 indexed citations
19.
Sjöberg, Jonas, et al.. (1995). Parameterization and Conditioning of Hinging Hyperplane Models. KTH Publication Database DiVA (KTH Royal Institute of Technology).5 indexed citations
20.
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
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.