Johan Schubert
Impact in
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- Multi-Criteria Decision Making
- Simulation Techniques and Applications
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
Papers in
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- Bayesian Modeling and Causal Inference 13
- Neural Networks and Applications 8
- AI-based Problem Solving and Planning 7
- Target Tracking and Data Fusion in Sensor Networks 6
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- Multi-Criteria Decision Making 9
- Simulation Techniques and Applications 7
- Co-authors
- Hedvig Sidenbladh (6 shared papers)Pontus Svenson (8 shared papers)Mats Bengtsson (1 shared paper)Per Svensson (4 shared papers)Farshad Moradi (3 shared papers)Irfan Younas (3 shared papers)Maryam Bashir (1 shared paper)Anna Linderhed (3 shared papers)
In The Last Decade
Johan Schubert
46 papers receiving 491 citations
Peers
Comparison fields: 5 of 74
- Management Science and Operations Research 236
- Artificial Intelligence 339
- Computational Theory and Mathematics 86
- Statistics and Probability 42
- Statistics, Probability and Uncertainty 32
Countries citing papers authored by Johan Schubert
This map shows the geographic impact of Johan Schubert'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 Johan Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Schubert more than expected).
Fields of papers citing papers by Johan Schubert
This network shows the impact of papers produced by Johan Schubert. 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 Johan Schubert. The network helps show where Johan Schubert may publish in the future.
Co-authors
The 18 scholars most cited alongside Johan Schubert, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 96 | |
| 2 | 1993 | 34 | |
| 3 | 2003 | 26 | |
| 4 | 2006 | 26 | |
| 5 | 2004 | 25 | |
| 6 | The IFD03 Information Fusion Demonstrator | 2004 | 23 |
| 7 | 1995 | 23 | |
| 8 | 2007 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2001 | 18 | |
| 11 | 1998 | 17 | |
| 12 | 1993 | 14 | |
| 13 | Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks | 1995 | 14 |
| 14 | 2000 | 13 | |
| 15 | Issues of Uncertainty Analysis in High-Level Information Fusion | 2012 | 11 |
| 16 | 2015 | 11 | |
| 17 | 1996 | 11 | |
| 18 | 2005 | 11 | |
| 19 | 2010 | 10 | |
| 20 | 2011 | 9 |
About Johan Schubert
Johan Schubert is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Control and Systems Engineering and General Health Professions, having authored 51 papers that have together received 544 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (13 papers), Multi-Criteria Decision Making (9 papers), Neural Networks and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers), AI-based Problem Solving and Planning (7 papers), Simulation Techniques and Applications (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Military Strategy and Technology (5 papers). The work is most often cited by research in Management Science and Operations Research (236 citations), Artificial Intelligence (339 citations), Computational Theory and Mathematics (86 citations), Statistics and Probability (42 citations) and Statistics, Probability and Uncertainty (32 citations). Johan Schubert has collaborated with scholars based in Sweden and Pakistan. Frequent co-authors include Hedvig Sidenbladh, Pontus Svenson, Mats Bengtsson, Per Svensson, Farshad Moradi, Irfan Younas, Maryam Bashir, Anna Linderhed, Gee Wah Ng and Hedvig Kjellström. Their work appears in journals such as International Journal of Approximate Reasoning, Information Fusion, International Journal of Intelligent Systems, Soft Computing and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.