Julian Sienkiewicz

1.3k citations
26 papers · 817 indexed · h-index 12
Topics
Complex Network Analysis Techniques (22 papers)Opinion Dynamics and Social Influence (19 papers)Misinformation and Its Impacts (4 papers)

In The Last Decade

Julian Sienkiewicz

24 papers receiving 768 citations

Peers

Julian Sienkiewicz
Comparison fields: 5 of 114
  • Statistical and Nonlinear Physics 413
  • Sociology and Political Science 210
  • Transportation 168
  • Artificial Intelligence 104
  • Building and Construction 95
Replace Mauro Martino with:
Mauro Martino United States
Arkadiusz Stopczynski Denmark
Piotr Sapieżyński United States
Camille Roth France
Riccardo Gallotti Italy
Roger M. Whitaker United Kingdom
Pedro O. S. Vaz de Melo Brazil
Valerio Arnaboldi Italy
Karsten Donnay Switzerland
Vedran Sekara Denmark
Julian Sienkiewicz relative to Mauro Martino United States Mauro Martino's profile →
Citations per field
00.5×2.6×
Mauro Martino · 1×
Citations per year

Countries citing papers authored by Julian Sienkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Julian Sienkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Sienkiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Sienkiewicz. A scholar is included among the top collaborators of Julian Sienkiewicz 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 Julian Sienkiewicz. Julian Sienkiewicz 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
#WorkIndexed citations
1 3
2 0
3 8
4
5
5 11
6 19
7 4
8 0
9 2
10 142
11 114
12
Negative emotions accelerating users activity in BBC Forum
6
13 3
14 1
15 26
16 4
17 19
18
Public transport systems in Poland: from Bia lystok to Zielona Gora by bus and tram using universal statistics of complex networks
17
19 315
20 28

About Julian Sienkiewicz

Julian Sienkiewicz is a scholar working on Statistical and Nonlinear Physics, General Social Sciences and Communication, having authored 26 papers that have together received 817 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (19 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (413 citations), Transportation (168 citations) and Communication (79 citations). Julian Sienkiewicz has collaborated with scholars based in Poland, United Kingdom and Russia. Frequent co-authors include Janusz A. Hołyst, Anna Chmiel, Mike Thelwall, George Paltoglou, Kevan Buckley, Krzysztof Suchecki, Arvid Kappas, Paweł Sobkowicz, Eduardo G. Altmann and Piotr Fronczak. Their work appears in journals such as PLoS ONE, Scientific Reports and Physica A Statistical Mechanics and its Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026