Bo Söderberg

2.1k citations
51 papers · 1.5k · h-index 19

Impact in

Papers in

Bo Söderberg

51 papers receiving 1.4k citations

Peers

Bo Söderberg
Comparison fields: 5 of 120
  • Statistical and Nonlinear Physics 340
  • Physical and Theoretical Chemistry 111
  • Artificial Intelligence 424
  • Mathematical Physics 107
  • Industrial and Manufacturing Engineering 103
Replace Aubrey B. Poore with:
Aubrey B. Poore United States
Pan Zhang China
Veerle Fack Belgium
Tetsuya Sakurai Japan
Matthew Curry United States
Thilina Rathnayake United States
Peter D. Robinson United Kingdom
Terrel Andy United States
Bertram Ross United States
Sergey B Kirpichev France
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Citations per field
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Citations per year

Countries citing papers authored by Bo Söderberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bo Söderberg Line = papers co-authored together Bo Söderberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989372
2 2002146
3 200393
4 198588
5 199372
6 199661
7
The electrostatic persistence length calculated from Monte Carlo, variational and perturbation methods
199752
8 200944
9 199036
10 200336
11 199236
12 198635
13 200334
14
Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"
199433
15 198933
16 200129
17 198825
18 199224
19 199220
20 200419

About Bo Söderberg

Bo Söderberg is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Condensed Matter Physics, Physical and Theoretical Chemistry and Nuclear and High Energy Physics, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (8 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Theoretical and Computational Physics (5 papers), Electrostatics and Colloid Interactions (5 papers), Material Dynamics and Properties (5 papers), Stochastic processes and statistical mechanics (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (340 citations), Physical and Theoretical Chemistry (111 citations), Artificial Intelligence (424 citations), Mathematical Physics (107 citations) and Industrial and Manufacturing Engineering (103 citations). Bo Söderberg has collaborated with scholars based in Sweden, France and United States. Frequent co-authors include Carsten Peterson, Mattias Ohlsson, Jonas Lemel, Lars Gislén, Predrag Cvitanović, Boris I. Shraiman, Magnus Ullner, Bo Jönsson, Antonio González-Arroyo and Henrik Jönsson. Their work appears in journals such as Neural Computation, Nuclear Physics B, Physics Letters B, The Journal of Chemical Physics 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.

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