Bo Söderberg
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
Papers in ⓘ
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- Complex Network Analysis Techniques 4
- Co-authors
- Carsten Peterson (19 shared papers)Mattias Ohlsson (4 shared papers)Jonas Lemel (3 shared papers)Predrag Cvitanović (1 shared paper)Boris I. Shraiman (1 shared paper)Lars Gislén (3 shared papers)Antonio González-Arroyo (3 shared papers)Bo Jönsson (2 shared papers)
- Journals
- Neural Computation (6 papers)Nuclear Physics B (4 papers)The Journal of Chemical Physics (3 papers)Physics Letters B (3 papers)Journal of the Optical Society of America A (2 papers)
- Partner nations
- SwedenFranceUnited States
In The Last Decade
Bo Söderberg
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Statistical and Nonlinear Physics 295
- Artificial Intelligence 357
- Mathematical Physics 92
- Nuclear and High Energy Physics 118
- Industrial and Manufacturing Engineering 90
Countries citing papers authored by Bo Söderberg
This map shows the geographic impact of Bo Söderberg'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 Bo Söderberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Söderberg more than expected).
Fields of papers citing papers by Bo Söderberg
This network shows the impact of papers produced by Bo Söderberg. 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 Bo Söderberg. The network helps show where Bo Söderberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Söderberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 318 | |
| 2 | 2002 | 133 | |
| 3 | 2003 | 84 | |
| 4 | 1985 | 82 | |
| 5 | 1993 | 64 | |
| 6 | 1996 | 53 | |
| 7 | 2009 | 42 | |
| 8 | 1986 | 34 | |
| 9 | Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout" | 1994 | 33 |
| 10 | 1990 | 32 | |
| 11 | 2003 | 28 | |
| 12 | 1989 | 27 | |
| 13 | 1988 | 27 | |
| 14 | 1992 | 26 | |
| 15 | 2001 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 1992 | 20 | |
| 18 | 2004 | 19 | |
| 19 | 1992 | 17 | |
| 20 | 1988 | 16 |
About Bo Söderberg
Bo Söderberg is a scholar working on Acoustics and Ultrasonics, Statistical and Nonlinear Physics, Mathematical Physics, Condensed Matter Physics and Nuclear and High Energy Physics, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Metaheuristic Optimization Algorithms Research (7 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Theoretical and Computational Physics (5 papers), Electrostatics and Colloid Interactions (4 papers), Material Dynamics and Properties (4 papers), Complex Network Analysis Techniques (4 papers) and Stochastic processes and statistical mechanics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (295 citations), Artificial Intelligence (357 citations), Mathematical Physics (92 citations), Nuclear and High Energy Physics (118 citations) and Industrial and Manufacturing Engineering (90 citations). Bo Söderberg has collaborated with scholars based in Sweden, France and United States. Frequent co-authors include Carsten Peterson, Mattias Ohlsson, Jonas Lemel, Predrag Cvitanović, Boris I. Shraiman, Lars Gislén, Antonio González-Arroyo, Bo Jönsson, Magnus Ullner and Henrik Jönsson. Their work appears in journals such as Neural Computation, Nuclear Physics B, The Journal of Chemical Physics, Physics Letters B and Journal of the Optical Society of America A.
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.