Iina Hellsten

2.5k citations
65 papers · 1.7k · h-index 24

Impact in

Papers in

Iina Hellsten

61 papers receiving 1.5k citations

Peers

Iina Hellsten
Comparison fields: 5 of 144
  • Communication 465
  • General Social Sciences 63
  • Statistics, Probability and Uncertainty 125
  • Statistical and Nonlinear Physics 208
  • Sociology and Political Science 702
Replace Giuseppe Veltri with:
Giuseppe Veltri Italy
Carroll J. Glynn United States
Cornelius Puschmann Germany
Thomas J. Fararo United States
Hans Peter Peters Germany
Brendan R. Watson United States
Daniela V. Dimitrova United States
Clark McPhail United States
John T. Law United Kingdom
Michael A. Xenos United States
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Citations per field
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Giuseppe Veltri · 1×
Citations per year

Countries citing papers authored by Iina Hellsten

Since Specialization
Citations

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

Fields of papers citing papers by Iina Hellsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iina Hellsten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iina Hellsten Line = papers co-authored together Iina Hellsten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014223
2 200590
3 200689
4 201570
5 200968
6 200757
7 201457
8 200054
9 201952
10 201150
11 202050
12 201946
13 200844
14 201843
15 200443
16
A Toxic Crisis: Metaphorizing the Financial Crisis
201541
17 201838
18 200938
19 200238
20 201937

About Iina Hellsten

Iina Hellsten is a scholar working on Communication, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Sociology and Political Science and Statistics, Probability and Uncertainty, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Social Media and Politics (19 papers), Complex Network Analysis Techniques (17 papers), Climate Change Communication and Perception (15 papers), Language, Metaphor, and Cognition (11 papers), Media Studies and Communication (8 papers), Opinion Dynamics and Social Influence (8 papers), Discourse Analysis in Language Studies (6 papers) and scientometrics and bibliometrics research (5 papers). The work is most often cited by research in Communication (465 citations), General Social Sciences (63 citations), Statistics, Probability and Uncertainty (125 citations), Statistical and Nonlinear Physics (208 citations) and Sociology and Political Science (702 citations). Iina Hellsten has collaborated with scholars based in Netherlands, United Kingdom and Finland. Frequent co-authors include Loet Leydesdorff, Brigitte Nerlich, Kim Holmberg, Warren Pearce, Anke Wonneberger, Amanda J. Porter, Sandra Jacobs, Jörg Zinken, James Dawson and Adina Nerghes. Their work appears in journals such as New Genetics and Society, Scientometrics, Internet Research, International journal of communication and Poetics.

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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