Iina Hellsten

2.5k citations
64 papers · 1.5k · h-index 22

Impact in

Papers in

Iina Hellsten

62 papers receiving 1.4k citations

Peers

Iina Hellsten
Comparison fields: 5 of 141
  • Communication 439
  • Statistics, Probability and Uncertainty 128
  • General Social Sciences 58
  • Statistical and Nonlinear Physics 193
  • Sociology and Political Science 652
Replace Carroll J. Glynn with:
Carroll J. Glynn United States
Kim Holmberg Finland
John Law United Kingdom
Christopher A. Bail United States
Thomas J. Fararo United States
Leah A. Lievrouw United States
Jonathan Furner United States
Daniela V. Dimitrova United States
Josh Pasek United States
Will Grant Australia
Iina Hellsten relative to Carroll J. Glynn United States Carroll J. Glynn's profile →
Citations per field
00.5×3.9×
Carroll J. Glynn · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014200
2 200587
3 200681
4 201566
5 200965
6 200755
7 202049
8 201949
9 200047
10 201446
11 201142
12 201942
13 200440
14 201838
15 201838
16 200236
17 201935
18 201634
19 200934
20 200633

About Iina Hellsten

Iina Hellsten is a scholar working on Communication, Sociology and Political Science, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Molecular Biology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Social Media and Politics (19 papers), Climate Change Communication and Perception (16 papers), Complex Network Analysis Techniques (16 papers), Language, Metaphor, and Cognition (10 papers), Media Studies and Communication (9 papers), Opinion Dynamics and Social Influence (8 papers), Discourse Analysis in Language Studies (6 papers) and scientometrics and bibliometrics research (6 papers). The work is most often cited by research in Communication (439 citations), Statistics, Probability and Uncertainty (128 citations), General Social Sciences (58 citations), Statistical and Nonlinear Physics (193 citations) and Sociology and Political Science (652 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, James Dawson, Andrea Scharnhorst, Esa Väliverronen and Lutz Bornmann. Their work appears in journals such as Scientometrics, New Genetics and Society, Internet Research, Environmental Communication and International journal of communication.

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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