Łukasz Wiechetek

62 total papers · 582 total citations
26 papers, 320 citations indexed

About

Łukasz Wiechetek is a scholar working on Communication, Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Łukasz Wiechetek has authored 26 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Communication, 5 papers in Information Systems and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Łukasz Wiechetek's work include Knowledge Management and Sharing (5 papers), Scheduling and Optimization Algorithms (3 papers) and Online Learning and Analytics (3 papers). Łukasz Wiechetek is often cited by papers focused on Knowledge Management and Sharing (5 papers), Scheduling and Optimization Algorithms (3 papers) and Online Learning and Analytics (3 papers). Łukasz Wiechetek collaborates with scholars based in Poland, Slovenia and Türkiye. Łukasz Wiechetek's co-authors include Moti Zwilling, Fatih Çetin, H. Nejat Basım, Dušan Lesjak, Zbigniew Pastuszak, Arkadiusz Gola, Aidana Tleuken, Serdar Durdyev, Ali Türkyılmaz and Valerij Dermol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Building and Environment.

In The Last Decade

Łukasz Wiechetek

22 papers receiving 294 citations

Hit Papers

Cyber Security Awareness,... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Łukasz Wiechetek 192 63 61 37 28 26 320
Lynette Drevin 191 1.0× 74 1.2× 43 0.7× 45 1.2× 13 0.5× 21 267
Moneer Alshaikh 181 0.9× 72 1.1× 56 0.9× 20 0.5× 11 0.4× 15 254
Dennis Andersson 101 0.5× 52 0.8× 89 1.5× 32 0.9× 40 1.4× 23 264
Blaine Hoffman 152 0.8× 57 0.9× 42 0.7× 30 0.8× 31 1.1× 21 260
Diana Burley 130 0.7× 22 0.3× 51 0.8× 30 0.8× 25 0.9× 27 289
Sara Kraemer 225 1.2× 92 1.5× 38 0.6× 33 0.9× 24 0.9× 15 325
Sarah Gordon 172 0.9× 39 0.6× 128 2.1× 56 1.5× 42 1.5× 29 360
Igor Bernik 137 0.7× 46 0.7× 60 1.0× 29 0.8× 8 0.3× 37 237
Andreas Kuehn 143 0.7× 52 0.8× 66 1.1× 21 0.6× 9 0.3× 24 342
Rui Chen 167 0.9× 36 0.6× 154 2.5× 49 1.3× 23 0.8× 20 362

Countries citing papers authored by Łukasz Wiechetek

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Wiechetek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Wiechetek

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

All Works

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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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