F. van der Knaap

451 total citations
4 papers, 30 citations indexed

About

F. van der Knaap is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, F. van der Knaap has authored 4 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Information Systems. Recurrent topics in F. van der Knaap's work include Advanced Text Analysis Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). F. van der Knaap is often cited by papers focused on Advanced Text Analysis Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). F. van der Knaap collaborates with scholars based in Netherlands. F. van der Knaap's co-authors include Flavius Frăsincar, S.S. Lam and Ying Liu and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Information Processing & Management.

In The Last Decade

F. van der Knaap

2 papers receiving 29 citations

Peers

F. van der Knaap
Comparison fields: 5 of 14
  • Artificial Intelligence 26
  • Management Science and Operations Research 5
  • Social Psychology 2
  • Management Information Systems 2
  • General Social Sciences 2
Replace Clemencia Siro with:
Clemencia Siro Netherlands
Terrance Liu United States
Ying Wen China
Niklas Deckers Germany
Brian Thorne Australia
Phoebe Mulcaire United States
Zelalem Gero United States
Mukund Sridhar United States
Kartikeya Badola India
Soumya Sanyal United States
Clemencia Siro Netherlands View profile →
Citations per field, relative to F. van der Knaap
F. van der Knaap · 1×
Citations per year, relative to F. van der Knaap
F. van der Knaap · 1×

Countries citing papers authored by F. van der Knaap

Since Specialization
Citations

This map shows the geographic impact of F. van der Knaap'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 F. van der Knaap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. van der Knaap more than expected).

Fields of papers citing papers by F. van der Knaap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. van der Knaap. 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 F. van der Knaap. The network helps show where F. van der Knaap may publish in the future.

Co-authorship network of co-authors of F. van der Knaap

This figure shows the co-authorship network connecting the top 25 collaborators of F. van der Knaap. A scholar is included among the top collaborators of F. van der Knaap 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 F. van der Knaap. F. van der Knaap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 27

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.

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