Michał Łukasik

53 total papers · 1.0k total citations
15 papers, 313 citations indexed

About

Michał Łukasik is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Michał Łukasik has authored 15 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Sociology and Political Science. Recurrent topics in Michał Łukasik's work include Misinformation and Its Impacts (4 papers), Point processes and geometric inequalities (4 papers) and Diffusion and Search Dynamics (4 papers). Michał Łukasik is often cited by papers focused on Misinformation and Its Impacts (4 papers), Point processes and geometric inequalities (4 papers) and Diffusion and Search Dynamics (4 papers). Michał Łukasik collaborates with scholars based in United Kingdom, Australia and India. Michał Łukasik's co-authors include Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, P. K. Srijith, Rob Procter, Maria Liakata, Duy Vu, Elena Kochkina, Isabelle Augenstein and Xin Wang and has published in prestigious journals such as Information Processing & Management, ACM Transactions on Information Systems and Frontiers in Computational Neuroscience.

In The Last Decade

Michał Łukasik

15 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Michał Łukasik 185 175 97 92 19 15 313
Jiang Zhu 125 0.7× 73 0.4× 37 0.4× 202 2.2× 12 0.6× 26 357
Peng Bao 50 0.3× 74 0.4× 43 0.4× 152 1.7× 12 0.6× 10 218
Ming Dong 73 0.4× 153 0.9× 73 0.8× 62 0.7× 22 1.2× 17 265
Yukie Sano 199 1.1× 62 0.4× 66 0.7× 124 1.3× 15 0.8× 22 309
Nguyen Vo 108 0.6× 163 0.9× 91 0.9× 21 0.2× 40 2.1× 20 252
Reihaneh Rabbany 62 0.3× 87 0.5× 57 0.6× 125 1.4× 17 0.9× 32 283
Raquel Martínez 51 0.3× 145 0.8× 96 1.0× 72 0.8× 5 0.3× 16 250
Baojun Qiu 47 0.3× 182 1.0× 70 0.7× 149 1.6× 22 1.2× 10 324
Liang Jiang 37 0.2× 156 0.9× 94 1.0× 149 1.6× 11 0.6× 17 302
Conrad Lee 38 0.2× 92 0.5× 39 0.4× 233 2.5× 22 1.2× 16 359

Countries citing papers authored by Michał Łukasik

Since Specialization
Citations

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

Fields of papers citing papers by Michał Łukasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Łukasik

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Łukasik. A scholar is included among the top collaborators of Michał Łukasik 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 Michał Łukasik. Michał Łukasik 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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