Lukasz Golab

5.0k total citations · 1 hit paper
128 papers, 2.8k citations indexed

About

Lukasz Golab is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Lukasz Golab has authored 128 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 56 papers in Artificial Intelligence and 42 papers in Information Systems. Recurrent topics in Lukasz Golab's work include Advanced Database Systems and Queries (51 papers), Data Quality and Management (33 papers) and Data Management and Algorithms (30 papers). Lukasz Golab is often cited by papers focused on Advanced Database Systems and Queries (51 papers), Data Quality and Management (33 papers) and Data Management and Algorithms (30 papers). Lukasz Golab collaborates with scholars based in Canada, United States and Germany. Lukasz Golab's co-authors include M. TAMER ÖZSU, Srinivasan Keshav, Divesh Srivastava, Ihab F. Ilyas, Christian Gorenflo, Theodore Johnson, Flip Korn, Ziawasch Abedjan, Howard Karloff and Felix Naumann and has published in prestigious journals such as Energy Policy, TrAC Trends in Analytical Chemistry and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Lukasz Golab

120 papers receiving 2.6k citations

Hit Papers

Issues in data stream management 2003 2026 2010 2018 2003 100 200 300 400 500

Peers

Lukasz Golab
Comparison fields: 5 of 95
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.2k
  • Information Systems 1.0k
  • Signal Processing 868
  • Management Science and Operations Research 669
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Citations per field, relative to Lukasz Golab
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Citations per year, relative to Lukasz Golab
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Countries citing papers authored by Lukasz Golab

Since Specialization
Citations

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

Fields of papers citing papers by Lukasz Golab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukasz Golab

This figure shows the co-authorship network connecting the top 25 collaborators of Lukasz Golab. A scholar is included among the top collaborators of Lukasz Golab 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 Lukasz Golab. Lukasz Golab 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
# Work Indexed citations
1 6
2 0
3 1
4 8
5 2
6
Reddit Mining to Understand Gendered Movements.
2
7
Using Data Mining Methods for Research in Co-Operative Education.
1
8
Data Analytics to Improve Co-Operative Education.
1
9
Gender Differences in Undergraduate Engineering Applicants: A Text Mining Approach.
7
10
Job Description Mining to Understand Work-Integrated Learning.
4
11
Quantifying the Impact of Entrepreneurship on Cooperative Education Job Creation.
3
12
Analyzing Student and Employer Satisfaction with Cooperative Education through Multiple Data Sources.
9
13
On Axiomatization and Inference Complexity over a Hierarchy of Functional Dependencies.
1
14
Data mining of undergraduate course evaluations.
1
15
Computing Electricity Consumption Profiles from Household Smart Meter Data
32
16
DBStream: an Online Aggregation, Filtering and Processing System for Network Traffic Monitoring
8
17 54
18
Analyzing the Mental Health of Engineering Students using Classification and Regression.
39
19
Consistency in a Stream Warehouse
28
20
Efficient and Effective Analysis of Data Quality using Pattern Tableaux.
15

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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