Limor Peer

804 citations
26 papers · 516 · h-index 10

Impact in

Papers in

Limor Peer

22 papers receiving 467 citations

Peers

Limor Peer
Comparison fields: 5 of 74
  • Communication 306
  • Information Systems and Management 62
  • Sociology and Political Science 251
  • Literature and Literary Theory 39
  • Gender Studies 29
Replace Niels Brügger with:
Niels Brügger Denmark
Michael Koliska United States
Dejin Zhao United States
Raul Ferrer Conill Sweden
Merja Mahrt Germany
Dmitry Epstein United States
Clark F. Greer United States
Joan-Francesc Fondevila-Gascón Spain
R. David Lankes United States
Daniel Cunliffe United Kingdom
Limor Peer relative to Niels Brügger Denmark Niels Brügger's profile →
Citations per field
00.5×1.5×2.1×
Niels Brügger · 1×
Citations per year

Countries citing papers authored by Limor Peer

Since Specialization
Citations

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

Fields of papers citing papers by Limor Peer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Limor Peer, 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 Limor Peer Line = papers co-authored together Limor Peer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014209
2 201167
3 201052
4 201443
5 201426
6 201516
7 199616
8 199815
9 201215
10 199511
11 20217
12 19927
13
The local TV news experience: How to win viewers by focusing on engagement
20076
14 20165
15 20224
16 20204
17 20082
18 20212
19 20122
20 20032

About Limor Peer

Limor Peer is a scholar working on Information Systems, Communication, Sociology and Political Science, Information Systems and Management and Management Science and Operations Research, having authored 26 papers that have together received 516 indexed citations. Recurring topics across this work include Research Data Management Practices (11 papers), Media Studies and Communication (8 papers), Scientific Computing and Data Management (7 papers), Social Media and Politics (6 papers), Media Influence and Politics (5 papers), Data Quality and Management (5 papers), Digital and Traditional Archives Management (1 paper) and Metal Forming Simulation Techniques (1 paper). The work is most often cited by research in Communication (306 citations), Information Systems and Management (62 citations), Sociology and Political Science (251 citations), Literature and Literary Theory (39 citations) and Gender Studies (29 citations). Limor Peer has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Thomas B. Ksiazek, Pablo J. Boczkowski, James S. Ettema, Elizabeth A. Stephenson, Elizabeth Levy Paluck, Robin Gomila, Lynn Vavreck, Paul Lagunes, Donald P. Green and Edward C. Malthouse. Their work appears in journals such as Data Intelligence, Data Science Journal, Journal of Communication, New Media & Society and Political 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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