F. J. Burkowski

693 citations
46 papers · 450 · h-index 11

Impact in

Papers in

F. J. Burkowski

40 papers receiving 367 citations

Peers

F. J. Burkowski
Comparison fields: 5 of 72
  • Signal Processing 104
  • Computer Networks and Communications 160
  • Artificial Intelligence 203
  • Information Systems 122
  • Numerical Analysis 29
Replace Robert L. Ashenhurst with:
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David Jordan United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by F. J. Burkowski

Since Specialization
Citations

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

Fields of papers citing papers by F. J. Burkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. J. Burkowski. 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. J. Burkowski. The network helps show where F. J. Burkowski may publish in the future.

Co-authors

The 11 scholars most cited alongside F. J. Burkowski, 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 F. J. Burkowski Line = papers co-authored together F. J. Burkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199599
2
Shortest substring ranking (MultiText experiments for TREC-4)
199543
3 200941
4 199235
5 199225
6 199821
7 199018
8 201114
9 197113
10 200813
11 199811
12 198110
13
Structural Bioinformatics : an Algorithmic Approach
20099
14 19717
15 20037
16 19737
17 19896
18
Delivery of electronic news: a broadband application
19945
19
Delivery of Electronic News.
19955
20 20145

About F. J. Burkowski

F. J. Burkowski is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 46 papers that have together received 450 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Advanced Database Systems and Queries (7 papers), Embedded Systems Design Techniques (6 papers), Algorithms and Data Compression (6 papers), Data Management and Algorithms (5 papers), Computational Drug Discovery Methods (5 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Signal Processing (104 citations), Computer Networks and Communications (160 citations), Artificial Intelligence (203 citations), Information Systems (122 citations) and Numerical Analysis (29 citations). F. J. Burkowski has collaborated with scholars based in Canada and Hong Kong. Frequent co-authors include Gordon V. Cormack, William Wong, Charles L. A. Clarke, Michael Shepherd, Carolyn Watters, Laleh Soltan Ghoraie, Mu Zhu, W. D. Hoskins, Henry Wolkowicz and Shuai Cheng Li. Their work appears in journals such as INFORMS journal on computing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Parallel Computing, Communications of the ACM and SIAM Journal on Numerical Analysis.

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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