Marcel Dekker
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
-
- Sustainable Development and Environmental Policy 1
- Co-authors
- Bruce G. LindsayK. E. BasfordM. Shamsul HaqueR.A. AshtonTheo SmedesH.J. ShawL. HenryT. L. Welsher
- Journals
- Journal of the American Statistical Association (1 paper)Journal of Macromolecular Science Part A - Chemistry (1 paper)Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (1 paper)
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Marcel Dekker
6 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Statistics and Probability 173
- Artificial Intelligence 394
- Signal Processing 81
- Computer Vision and Pattern Recognition 125
- Media Technology 26
Countries citing papers authored by Marcel Dekker
This map shows the geographic impact of Marcel Dekker'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 Marcel Dekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Dekker more than expected).
Fields of papers citing papers by Marcel Dekker
This network shows the impact of papers produced by Marcel Dekker. 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 Marcel Dekker. The network helps show where Marcel Dekker may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Marcel Dekker, 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 | 1 | |
| 2 | 2016 | 1 | |
| 3 | Progress towards a joint ESDA/JEDEC CDM standard: Methods, experiments, and results | 2012 | 2 |
| 4 | The Myths of Economic Growth (GNP): Implications for Human Development | 2004 | 4 |
| 5 | In-depth Analysis / Methods for Depth Profiling | 1998 | 1 |
| 6 | Electrically Gain-S witched Vertical-Cavity Surface-Emitting Lasers | 1992 | 1 |
| 7 | 1989 | 1 | |
| 8 | Mixture Models: Inference and Applications to Clustering. Hit paper breakdown → | 1989 | 756 |
About Marcel Dekker
Marcel Dekker is a scholar working on Development, Management, Monitoring, Policy and Law, Electrical and Electronic Engineering, Control and Systems Engineering and Education, having authored 8 papers that have together received 767 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (2 papers), Electrostatic Discharge in Electronics (2 papers), Sustainable Development and Environmental Policy (1 paper), Gender, Education, and Development Issues (1 paper), Photonic and Optical Devices (1 paper), Silicon Carbide Semiconductor Technologies (1 paper), Semiconductor Quantum Structures and Devices (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Statistics and Probability (173 citations), Artificial Intelligence (394 citations), Signal Processing (81 citations), Computer Vision and Pattern Recognition (125 citations) and Media Technology (26 citations). Marcel Dekker has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Bruce G. Lindsay, K. E. Basford, M. Shamsul Haque, R.A. Ashton, Theo Smedes, H.J. Shaw, L. Henry, T. L. Welsher, Guido Notermans and Mirko Scholz. Their work appears in journals such as Journal of the American Statistical Association, Journal of Macromolecular Science Part A - Chemistry and Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).
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.