Alexander Hogenboom
- Artificial Intelligence top 2%
- Information Systems top 5%
- Human-Computer Interaction top 5%
- Sociology and Political Science
- Management Science and Operations Research top 10%
- Co-authors
- Flavius FrăsincarUzay KaymakFranciska de JongFrederik HogenboomKim SchoutenDavid E. LosadaJan van DalenJohn Collins
- Topics
- Sentiment Analysis and Opinion Mining (10 papers)Advanced Text Analysis Techniques (8 papers)Topic Modeling (7 papers)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Alexander Hogenboom
21 papers receiving 560 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 501
- Information Systems 157
- Human-Computer Interaction 70
- Sociology and Political Science 66
- Management Science and Operations Research 54
Countries citing papers authored by Alexander Hogenboom
This map shows the geographic impact of Alexander Hogenboom'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 Alexander Hogenboom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hogenboom more than expected).
Fields of papers citing papers by Alexander Hogenboom
This network shows the impact of papers produced by Alexander Hogenboom. 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 Alexander Hogenboom. The network helps show where Alexander Hogenboom may publish in the future.
Co-authorship network of co-authors of Alexander Hogenboom
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Hogenboom. A scholar is included among the top collaborators of Alexander Hogenboom 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 Alexander Hogenboom. Alexander Hogenboom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 55 | |
| 3 | 2 | |
| 4 | 40 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 64 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | 143 | |
| 11 | 19 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 40 | |
| 15 | 80 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | Sentiment Analysis of Text Guided by Semantics and Structure | 5 |
| 19 | 3 | |
| 20 | QMap : an RDF-based queryable world map | 6 |
About Alexander Hogenboom
Alexander Hogenboom is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 23 papers that have together received 607 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (10 papers), Advanced Text Analysis Techniques (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (501 citations), Human-Computer Interaction (70 citations) and Information Systems (157 citations). Alexander Hogenboom has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Flavius Frăsincar, Uzay Kaymak, Franciska de Jong, Frederik Hogenboom, Kim Schouten, David E. Losada, Jan van Dalen, John Collins, Wolfgang Ketter and Alok Gupta. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and Decision Support 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.