A.N. Wilschut

780 total citations
18 papers, 437 citations indexed

About

A.N. Wilschut is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, A.N. Wilschut has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 9 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in A.N. Wilschut's work include Advanced Database Systems and Queries (10 papers), Advanced Data Storage Technologies (9 papers) and Data Management and Algorithms (9 papers). A.N. Wilschut is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Advanced Data Storage Technologies (9 papers) and Data Management and Algorithms (9 papers). A.N. Wilschut collaborates with scholars based in Netherlands. A.N. Wilschut's co-authors include Peter M. G. Apers, Jan Flokstra, Paul Grefen, Martin Kersten, Arjen P. de Vries, M.A.W. Houtsma, Stephan A. van Gils, Roelof van Zwol, Wilko Quak and Henk Blanken and has published in prestigious journals such as Journal of Theoretical Biology, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.

In The Last Decade

A.N. Wilschut

18 papers receiving 380 citations

Peers

A.N. Wilschut
Comparison fields: 5 of 34
  • Computer Networks and Communications 415
  • Signal Processing 275
  • Artificial Intelligence 116
  • Information Systems 100
  • Computer Vision and Pattern Recognition 25
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Citations per field, relative to A.N. Wilschut
A.N. Wilschut · 1×
Citations per year, relative to A.N. Wilschut
A.N. Wilschut · 1×

Countries citing papers authored by A.N. Wilschut

Since Specialization
Citations

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

Fields of papers citing papers by A.N. Wilschut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.N. Wilschut. 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 A.N. Wilschut. The network helps show where A.N. Wilschut may publish in the future.

Co-authorship network of co-authors of A.N. Wilschut

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 32
2 35
3
Implementing Semi Structured Data with Moa
1
4
On the integration of IR and Databases
15
5 1
6 7
7 37
8 2
9
Understanding large scale parallelism for data management
2
10
A Model for Pipelined Query Execution
5
11 184
12
Parallelism in a Main-Memory DBMS: The Performance of PRISMA/DB
36
13 54
14
Implementation and performance evaluation of a parallel transitive closure algorithm on PRISMA/DB
12
15
Parallelism in a main-memory system: The performance of PRISMA/DB.
3
16
A model for dataflow query execution in a parallel main-memory environment
1
17
PRISMA DB1 User manual
2
18 8

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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