Hasan Güçlü

3.2k citations
28 papers · 2.1k indexed · 1 hit paper · h-index 13
Topics
COVID-19 epidemiological studies (7 papers)Pharmaceutical industry and healthcare (3 papers)Complex Network Analysis Techniques (3 papers)

In The Last Decade

Hasan Güçlü

26 papers receiving 2.0k citations

Hit Papers

Modelling disease outbreaks in realistic urban social net...200420262011201820044008001.2k

Peers

Hasan Güçlü
Comparison fields: 5 of 157
  • Modeling and Simulation 828
  • Statistical and Nonlinear Physics 614
  • Epidemiology 379
  • Public Health, Environmental and Occupational Health 281
  • Transportation 275
Replace Nan Wang with:
Nan Wang China
Duygu Balcan United States
Anil Vullikanti United States
V. S. Anil Kumar United States
Nicola Perra United States
Wouter Van den Broeck Italy
Chris Barrett United States
Paolo Bajardi Italy
Roni Rosenfeld United States
Michele Tizzoni Italy
Hasan Güçlü relative to Nan Wang China Nan Wang's profile →
Citations per field
00.5×1.5×
Nan Wang · 1×
Citations per year

Countries citing papers authored by Hasan Güçlü

Since Specialization
Citations

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

Fields of papers citing papers by Hasan Güçlü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hasan Güçlü

This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Güçlü. A scholar is included among the top collaborators of Hasan Güçlü 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 Hasan Güçlü. Hasan Güçlü 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 0
2 0
3 7
4 3
5 1
6 1
7 10
8 41
9 3
10 18
11 19
12 7
13 4
14 54
15 154
16 83
17 124
18 7
19
Proximity Networks and Epidemics
1
20
Modelling disease outbreaks in realistic urban social networksbreakdown →
1387

About Hasan Güçlü

Hasan Güçlü is a scholar working on Modeling and Simulation, Family Practice and Pharmacology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Pharmaceutical industry and healthcare (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (828 citations), Statistical and Nonlinear Physics (614 citations) and Transportation (275 citations). Hasan Güçlü has collaborated with scholars based in United States, Türkiye and Taiwan. Frequent co-authors include Zoltán Toroczkai, V. S. Anil Kumar, Nan Wang, Madhav Marathe, Aravind Srinivasan, Stephen Eubank, Felicia Wu, David Galloway, William D. Wheaton and Donald S. Burke. Their work appears in journals such as Nature, PLoS ONE and Scientific Reports.

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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