Robert Wrembel

55 papers receiving 501 citations

Peers

Robert Wrembel
Comparison fields: 5 of 84
  • Computer Networks and Communications 290
  • Artificial Intelligence 228
  • Information Systems 214
  • Signal Processing 148
  • Management Science and Operations Research 125
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Citations per field
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Citations per year

Countries citing papers authored by Robert Wrembel

Since Specialization
Citations

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

Fields of papers citing papers by Robert Wrembel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Wrembel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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8
Managing Data in a Big Financial Institution: Conclusions from a R&D Project.
1
9 6
10 6
11
Requirements Engineering for Data Warehouses.
4
12
Proceedings of the 16th East European conference on Advances in Databases and Information Systems
2
13
GPU-PLWAH: GPU-based implementation of the PLWAH algorithm for compressing bitmaps
8
14
Research Problems of the ETL Technology
2
15
Predicting access to materialized methods by means of hidden Markov model
0
16
Formal approach to modelling a multiversion data warehouse
5
17
The framework for detecting and propagating changes from data sources structure into a data wareshouse
4
18
Modeling a Multiversion Data Warehouse: A Formal Approach.
10
19
Hierarchical Materialisation of Methods in OO Views: Design, Maintenance, and Experimental Evaluation.
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20
On a Formal Model of an Object-Oriented Database with Views Supporting Data Materialisation
4

About Robert Wrembel

Robert Wrembel is a scholar working on Computer Networks and Communications, Information Systems and Management and Management Information Systems, having authored 62 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (37 papers), Data Quality and Management (17 papers) and Data Management and Algorithms (17 papers). The work is most often cited by research in Signal Processing (148 citations), Management Information Systems (114 citations) and Computer Networks and Communications (290 citations). Robert Wrembel has collaborated with scholars based in Poland, Italy and Spain. Frequent co-authors include Christian Koncilia, Tadeusz Morzy, Alberto Abelló, Johann Eder, Ladjel Bellatreche, Krzysztof Krawiec, Jerzy Stefanowski, Zakaria Elberrichi, Erich Neuhold and Abdelmalek Amine. Their work appears in journals such as Journal of the Association for Information Systems, Information and Software Technology 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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