Jan Flokstra

464 citations
21 papers · 253 · h-index 8

Impact in

Papers in

Jan Flokstra

21 papers receiving 218 citations

Peers

Jan Flokstra
Comparison fields: 5 of 45
  • Signal Processing 116
  • Computer Networks and Communications 167
  • Geography, Planning and Development 12
  • Artificial Intelligence 63
  • Information Systems 39
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Countries citing papers authored by Jan Flokstra

Since Specialization
Citations

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

Fields of papers citing papers by Jan Flokstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Flokstra. 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 Jan Flokstra. The network helps show where Jan Flokstra may publish in the future.

Co-authors

The 18 scholars most cited alongside Jan Flokstra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Flokstra Line = papers co-authored together Jan Flokstra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199254
2 199537
3
Parallelism in a Main-Memory DBMS: The Performance of PRISMA/DB
199236
4
PFTijah: text search in an XML database system
200634
5 201820
6 197415
7
Implementation and performance evaluation of a parallel transitive closure algorithm on PRISMA/DB
199212
8 201311
9 19987
10 19943
11
Moa: extensibility and efficiency in querying nested data
20023
12 19943
13
Parallelism in a main-memory system: The performance of PRISMA/DB.
19923
14
Sound Ranking algorithms for XML search
20083
15 19962
16
JudgeD: a probabilistic datalog with dependencies
20162
17
PRISMA DB1 User manual
19912
18 19732
19 19952
20
Extending a multi-set relational algebra to a parallel environment
19941

About Jan Flokstra

Jan Flokstra is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Geography, Planning and Development, having authored 21 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (9 papers), Advanced Data Storage Technologies (5 papers), Semantic Web and Ontologies (4 papers), Distributed systems and fault tolerance (4 papers), Bayesian Modeling and Causal Inference (2 papers), Quantum, superfluid, helium dynamics (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Signal Processing (116 citations), Computer Networks and Communications (167 citations), Geography, Planning and Development (12 citations), Artificial Intelligence (63 citations) and Information Systems (39 citations). Jan Flokstra has collaborated with scholars based in Netherlands. Frequent co-authors include A.N. Wilschut, Peter M. G. Apers, Paul Grefen, Martin Kersten, Henning Rode, Djoerd Hiemstra, Maurice van Keulen, G.J. Gerritsma, M.A.W. Houtsma and Dennis Reidsma. Their work appears in journals such as Physics Letters A, Distributed and Parallel Databases, ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering and Lecture notes in computer science.

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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