Benjamin Dalmas
Impact in
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- Business Process Modeling and Analysis
Papers in
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- Business Process Modeling and Analysis 4
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- Data Mining Algorithms and Applications 2
- Service-Oriented Architecture and Web Services 2
- Co-authors
- Sylvie Norre (3 shared papers)Philippe Fournier‐Viger (1 shared paper)Fernando A. Bozza (1 shared paper)Sílvio Hamacher (1 shared paper)Leila Figueiredo Dantas (1 shared paper)Natalia Sidorova (1 shared paper)Wil M. P. van der Aalst (1 shared paper)Niek Tax (2 shared papers)
In The Last Decade
Benjamin Dalmas
10 papers receiving 58 citations
Peers
Comparison fields: 5 of 35
- Applied Microbiology and Biotechnology 3
- Management Information Systems 11
- Information Systems 23
- Molecular Medicine 4
- Health Informatics 1
Countries citing papers authored by Benjamin Dalmas
This map shows the geographic impact of Benjamin Dalmas'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 Benjamin Dalmas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Dalmas more than expected).
Fields of papers citing papers by Benjamin Dalmas
This network shows the impact of papers produced by Benjamin Dalmas. 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 Benjamin Dalmas. The network helps show where Benjamin Dalmas may publish in the future.
Co-authors
The 15 scholars most cited alongside Benjamin Dalmas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 17 | |
| 2 | 2017 | 15 | |
| 3 | 2018 | 9 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2019 | 1 | |
| 11 | Heuristics for high-utility local process model mining | 2017 | 0 |
About Benjamin Dalmas
Benjamin Dalmas is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Health Information Management and Computational Theory and Mathematics, having authored 11 papers that have together received 60 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (4 papers), Artificial Intelligence in Healthcare (2 papers), Data Mining Algorithms and Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers), Imbalanced Data Classification Techniques (1 paper), Bayesian Modeling and Causal Inference (1 paper), Species Distribution and Climate Change (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (3 citations), Management Information Systems (11 citations), Information Systems (23 citations), Molecular Medicine (4 citations) and Health Informatics (1 citation). Benjamin Dalmas has collaborated with scholars based in France, Canada and Brazil. Frequent co-authors include Sylvie Norre, Philippe Fournier‐Viger, Fernando A. Bozza, Sílvio Hamacher, Leila Figueiredo Dantas, Natalia Sidorova, Wil M. P. van der Aalst, Niek Tax, Vincent Augusto and Lucie Poulet. Their work appears in journals such as International Transactions in Operational Research, BMC Medical Informatics and Decision Making, IEEE Transactions on Automation Science and Engineering, Journal of Hospital Infection and Information 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.