Saskia Witteborn

920 citations
30 papers · 509 · h-index 15

Impact in

Papers in

Saskia Witteborn

27 papers receiving 473 citations

Peers

Saskia Witteborn
Comparison fields: 5 of 86
  • Communication 124
  • Demography 97
  • Sociology and Political Science 296
  • Linguistics and Language 21
  • Literature and Literary Theory 43
Replace Amanda Aléncar with:
Amanda Aléncar Netherlands
C.J. WALLIS United States
Lynne Masel Walters United States
Ewan Wright Hong Kong
Lawrence C. Stedman United States
Charles Soukup United States
Guo-Ming Chen United States
Rebecca S. Merkin United States
Ronald B. Adler United States
Joseph R. DeMartini United States
Saskia Witteborn relative to Amanda Aléncar Netherlands Amanda Aléncar's profile →
Citations per field
00.5×4.2×
Amanda Aléncar · 1×
Citations per year

Countries citing papers authored by Saskia Witteborn

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Witteborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Saskia Witteborn, 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 Saskia Witteborn Line = papers co-authored together Saskia Witteborn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201571
2 201141
3 201140
4 202033
5 201431
6 201829
7 200728
8 200823
9 202021
10 200420
11 202119
12 201018
13 200717
14 200917
15 201016
16 201912
17 202010
18 20229
19 20209
20 20138

About Saskia Witteborn

Saskia Witteborn is a scholar working on Sociology and Political Science, Demography, Communication, Information Systems and Literature and Literary Theory, having authored 30 papers that have together received 509 indexed citations. Recurring topics across this work include Migration, Refugees, and Integration (8 papers), Diaspora, migration, transnational identity (6 papers), Migration and Labor Dynamics (5 papers), Social Media and Politics (4 papers), COVID-19 Digital Contact Tracing (3 papers), Rhetoric and Communication Studies (3 papers), Language, Discourse, Communication Strategies (3 papers) and Digital Economy and Work Transformation (3 papers). The work is most often cited by research in Communication (124 citations), Demography (97 citations), Sociology and Political Science (296 citations), Linguistics and Language (21 citations) and Literature and Literary Theory (43 citations). Saskia Witteborn has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Larry Mauksch, Lynne Robins, Douglas M. Brock, Leah Sprain, Kevin Smets, Koen Leurs, Myria Georgiou, Radhika Gajjala, Pamela R. Nagasawa and Paola Monachesi. Their work appears in journals such as Journal of Communication, Chinese Journal of Communication, Cultural Studies, Journal of Refugee Studies and Journal of International and Intercultural 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.

Explore authors with similar magnitude of impact