Mark Hoogendoorn
About
In The Last Decade
Mark Hoogendoorn
124 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 828
- Epidemiology 308
- Computational Theory and Mathematics 214
- Applied Psychology 148
- Experimental and Cognitive Psychology 144
Countries citing papers authored by Mark Hoogendoorn
This map shows the geographic impact of Mark Hoogendoorn'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 Mark Hoogendoorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hoogendoorn more than expected).
Fields of papers citing papers by Mark Hoogendoorn
This network shows the impact of papers produced by Mark Hoogendoorn. 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 Mark Hoogendoorn. The network helps show where Mark Hoogendoorn may publish in the future.
Co-authorship network of co-authors of Mark Hoogendoorn
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hoogendoorn. A scholar is included among the top collaborators of Mark Hoogendoorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Hoogendoorn. Mark Hoogendoorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 32 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | 13 | |
| 15 | Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer | 1 |
| 16 | Recent Trends in Applied Artificial Intelligence: 26th International Conference on Industrial, Engineering and Other Applications of Applied ... / Lecture Notes in Artificial Intelligence) | 1 |
| 17 | 6 | |
| 18 | Adaptation of organizational models for multi-agent systems based on max flow networks | 7 |
| 19 | 0 | |
| 20 | Modelling the Organisation of Organisational Change | 5 |
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.