Marcin Pilarczyk

20 total papers · 1.4k total citations
6 papers, 305 citations indexed

About

Marcin Pilarczyk is a scholar working on Information Systems, Information Systems and Management and Molecular Biology. According to data from OpenAlex, Marcin Pilarczyk has authored 6 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in Information Systems and Management and 1 paper in Molecular Biology. Recurrent topics in Marcin Pilarczyk's work include Scientific Computing and Data Management (2 papers), Data Mining Algorithms and Applications (2 papers) and Recommender Systems and Techniques (1 paper). Marcin Pilarczyk is often cited by papers focused on Scientific Computing and Data Management (2 papers), Data Mining Algorithms and Applications (2 papers) and Recommender Systems and Techniques (1 paper). Marcin Pilarczyk collaborates with scholars based in United States, Poland and Belgium. Marcin Pilarczyk's co-authors include Mario Medvedovic, Michal Kouril, Naim Al Mahi, Nicholas A. Clark, Elizabeth H. Williams, Jeremy L. Muhlich, Peter K. Sorger, Marc Hafner, Mario Niepel and Afoma C. Umeano and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and BMC Cancer.

In The Last Decade

Marcin Pilarczyk

6 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
Marcin Pilarczyk	192	52	44	36	34	6	305
Ksenia Lezhnina	213 1.1×	108 2.1×	17 0.4×	32 0.9×	53 1.6×	8	359
Pauline Traynard	265 1.4×	65 1.3×	20 0.5×	31 0.9×	43 1.3×	9	341
Katharine Yu	179 0.9×	24 0.5×	34 0.8×	72 2.0×	78 2.3×	11	293
Yubo Fan	205 1.1×	29 0.6×	24 0.5×	34 0.9×	56 1.6×	9	307
Keisha N. Hardeman	182 0.9×	65 1.3×	16 0.4×	41 1.1×	57 1.7×	8	294
Kathrin Schmich	214 1.1×	29 0.6×	52 1.2×	38 1.1×	30 0.9×	7	347
Olga Ivanova	177 0.9×	27 0.5×	41 0.9×	20 0.6×	14 0.4×	8	253
Sanjana Gupta	166 0.9×	21 0.4×	47 1.1×	27 0.8×	41 1.2×	10	246
Afoma C. Umeano	187 1.0×	37 0.7×	84 1.9×	31 0.9×	47 1.4×	10	309
Prisca Lo Surdo	253 1.3×	59 1.1×	23 0.5×	24 0.7×	33 1.0×	12	333

Countries citing papers authored by Marcin Pilarczyk

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Pilarczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Pilarczyk

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