Daniel Strömbom
Impact in
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- Distributed Control Multi-Agent Systems
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in ⓘ
- Genetics 9
- Insect and Arachnid Ecology and Behavior 8
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- Distributed Control Multi-Agent Systems 8
- Co-authors
- David J. T. Sumpter (3 shared papers)Andrew J. King (3 shared papers)Richard P. Mann (3 shared papers)Alan M. Wilson (1 shared paper)A. Jennifer Morton (1 shared paper)Stephen Hailes (1 shared paper)James E. Herbert‐Read (2 shared papers)Ashley J. W. Ward (1 shared paper)
- Journals
- Royal Society Open Science (2 papers)PLoS Computational Biology (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Daniel Strömbom
21 papers receiving 425 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 183
- Condensed Matter Physics 80
- Ecology, Evolution, Behavior and Systematics 87
- Developmental Biology 9
- Genetics 85
Countries citing papers authored by Daniel Strömbom
This map shows the geographic impact of Daniel Strömbom'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 Daniel Strömbom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Strömbom more than expected).
Fields of papers citing papers by Daniel Strömbom
This network shows the impact of papers produced by Daniel Strömbom. 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 Daniel Strömbom. The network helps show where Daniel Strömbom may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Strömbom, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 128 | |
| 2 | 2011 | 109 | |
| 3 | 2013 | 38 | |
| 4 | 2017 | 32 | |
| 5 | 2018 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2015 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 4 | |
| 16 | Persistent Homology in the Cubical Setting | 2007 | 3 |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | Attraction Based Models of Collective Motion | 2013 | 2 |
About Daniel Strömbom
Daniel Strömbom is a scholar working on Genetics, Computer Networks and Communications, Condensed Matter Physics, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (8 papers), Distributed Control Multi-Agent Systems (8 papers), Micro and Nano Robotics (6 papers), Ecosystem dynamics and resilience (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Plant and animal studies (3 papers), Topological and Geometric Data Analysis (2 papers) and Diffusion and Search Dynamics (2 papers). The work is most often cited by research in Computer Networks and Communications (183 citations), Condensed Matter Physics (80 citations), Ecology, Evolution, Behavior and Systematics (87 citations), Developmental Biology (9 citations) and Genetics (85 citations). Daniel Strömbom has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include David J. T. Sumpter, Andrew J. King, Richard P. Mann, Alan M. Wilson, A. Jennifer Morton, Stephen Hailes, James E. Herbert‐Read, Ashley J. W. Ward, Audrey Dussutour and Andréa Perna. Their work appears in journals such as Royal Society Open Science, PLoS Computational Biology, PLoS ONE, Scientific Reports and Journal of Theoretical Biology.
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.