Bob Dröge
Impact in
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- Parallel Computing and Optimization Techniques
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- Face and Expression Recognition
Papers in
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- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 1
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- Machine Learning and Data Classification 1
- Computational Physics and Python Applications 1
- Co-authors
- Kenneth Hoste (1 shared paper)Y. Ascasíbar (1 shared paper)E. A. Valentijn (1 shared paper)B. Altieri (1 shared paper)Baoquan Liu (1 shared paper)Po Yang (1 shared paper)Jos B. T. M. Roerdink (1 shared paper)F. Pasian (1 shared paper)
- Journals
- Software Practice and Experience (1 paper)Concurrency and Computation Practice and Experience (1 paper)University of Groningen research database (University of Groningen / Centre for Information Technology) (1 paper)
- Partner nations
- NetherlandsAustraliaBelgium
In The Last Decade
Bob Dröge
2 papers receiving 5 citations
Peers
Comparison fields: 5 of 8
- Hardware and Architecture 1
- Computer Vision and Pattern Recognition 3
- Information Systems and Management 1
- Artificial Intelligence 4
- Signal Processing 1
Countries citing papers authored by Bob Dröge
This map shows the geographic impact of Bob Dröge'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 Bob Dröge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob Dröge more than expected).
Fields of papers citing papers by Bob Dröge
This network shows the impact of papers produced by Bob Dröge. 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 Bob Dröge. The network helps show where Bob Dröge may publish in the future.
Co-authors
The 20 scholars most cited alongside Bob Dröge, 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 | 2014 | 5 | |
| 2 | 2022 | 1 | |
| 3 | EUCLID ARCHIVE SYSTEM PROTOTYPE | 2014 | 0 |
About Bob Dröge
Bob Dröge is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management and Instrumentation, having authored 3 papers that have together received 6 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Advanced Data Storage Technologies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Scientific Computing and Data Management (1 paper), Machine Learning and Data Classification (1 paper), Computational Physics and Python Applications (1 paper), Astronomy and Astrophysical Research (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Hardware and Architecture (1 citation), Computer Vision and Pattern Recognition (3 citations), Information Systems and Management (1 citation), Artificial Intelligence (4 citations) and Signal Processing (1 citation). Bob Dröge has collaborated with scholars based in Netherlands, Australia and Belgium. Frequent co-authors include Kenneth Hoste, Y. Ascasíbar, E. A. Valentijn, B. Altieri, Baoquan Liu, Po Yang, Jos B. T. M. Roerdink, F. Pasian, Feng Dong and Victor H. Rusu. Their work appears in journals such as Software Practice and Experience, Concurrency and Computation Practice and Experience and University of Groningen research database (University of Groningen / Centre for Information Technology).
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.