Nir Grinberg

2.2k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Nir Grinberg is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Nir Grinberg has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 7 papers in Communication and 4 papers in Artificial Intelligence. Recurrent topics in Nir Grinberg's work include Social Media and Politics (7 papers), Misinformation and Its Impacts (7 papers) and Spam and Phishing Detection (2 papers). Nir Grinberg is often cited by papers focused on Social Media and Politics (7 papers), Misinformation and Its Impacts (7 papers) and Spam and Phishing Detection (2 papers). Nir Grinberg collaborates with scholars based in United States, Israel and Netherlands. Nir Grinberg's co-authors include David Lazer, Kenneth Joseph, Lisa Friedland, Briony Swire‐Thompson, Mor Naaman, Matthew Baum, Lada A. Adamic, Raz Schwartz, Ryan J. Gallagher and Brooke Foucault Welles and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Internet Research.

In The Last Decade

Nir Grinberg

12 papers receiving 1.2k citations

Hit Papers

Fake news on Twitter during the 2016 U.S. presidential el... 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nir Grinberg United States 8 1.1k 577 368 232 225 13 1.3k
Jieun Shin United States 4 670 0.6× 493 0.9× 247 0.7× 97 0.4× 114 0.5× 6 792
Antino Kim United States 11 633 0.6× 296 0.5× 251 0.7× 194 0.8× 75 0.3× 29 821
María D. Molina United States 15 645 0.6× 242 0.4× 311 0.8× 127 0.5× 41 0.2× 23 979
Mark Tremayne United States 14 562 0.5× 403 0.7× 318 0.9× 194 0.8× 107 0.5× 22 972
Tanushree Mitra United States 18 677 0.6× 232 0.4× 441 1.2× 278 1.2× 88 0.4× 40 1.1k
Marco Bastos Ireland 17 719 0.7× 696 1.2× 299 0.8× 154 0.7× 184 0.8× 78 1.2k
Ronald E. Robertson United States 16 775 0.7× 423 0.7× 323 0.9× 184 0.8× 102 0.5× 31 1.2k
Ahmed Al‐Rawi Canada 18 657 0.6× 556 1.0× 226 0.6× 89 0.4× 39 0.2× 93 1.1k
Patricia Moravec United States 8 555 0.5× 252 0.4× 201 0.5× 149 0.6× 72 0.3× 16 649
Shagun Jhaver United States 15 608 0.6× 612 1.1× 761 2.1× 219 0.9× 60 0.3× 27 1.3k

Countries citing papers authored by Nir Grinberg

Since Specialization
Citations

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

Fields of papers citing papers by Nir Grinberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Grinberg

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Grinberg. A scholar is included among the top collaborators of Nir Grinberg 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 Nir Grinberg. Nir Grinberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Swire‐Thompson, Briony, et al.. (2024). Supersharers of fake news on Twitter. Science. 384(6699). 979–982. 19 indexed citations
2.
Davidson, Roei, et al.. (2024). EnronSR: A Benchmark for Evaluating AI-Generated Email Replies. Proceedings of the International AAAI Conference on Web and Social Media. 18. 2063–2075.
3.
Oser, Jennifer, et al.. (2023). Who Is Curating My Political Feed? Characterizing Political Exposure of Registered U.S. Voters on Twitter. The International Journal of Press/Politics. 29(3). 774–794. 1 indexed citations
4.
Baram‐Tsabari, Ayelet, et al.. (2023). “Is COVID-19 a hoax?”: auditing the quality of COVID-19 conspiracy-related information and misinformation in Google search results in four languages. Internet Research. 33(5). 1774–1801. 5 indexed citations
5.
Gallagher, Ryan J., et al.. (2021). Pandemics, Protests, and Publics. SHILAP Revista de lepidopterología. 1. 19 indexed citations
6.
Grinberg, Nir, Mor Naaman, Blake Shaw, & Gilad Lotan. (2021). Extracting Diurnal Patterns of Real World Activity from Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 205–214. 4 indexed citations
7.
Grinberg, Nir, Kenneth Joseph, Lisa Friedland, Briony Swire‐Thompson, & David Lazer. (2019). Fake news on Twitter during the 2016 U.S. presidential election. Science. 363(6425). 374–378. 1051 indexed citations breakdown →
9.
Grinberg, Nir, et al.. (2017). Understanding Feedback Expectations on Facebook. 726–739. 19 indexed citations
10.
Lazer, David, et al.. (2017). Combating fake news: an agenda for research and action. 112 indexed citations
11.
Grinberg, Nir, et al.. (2016). Changes in Engagement Before and After Posting to Facebook. 564–574. 26 indexed citations
12.
Grinberg, Nir, et al.. (2013). Robust detection of hyper-local events from geotagged social media data. 1–9. 19 indexed citations
13.
Pottenger, William M., et al.. (2012). Nuclear detection using Higher-Order topic modeling. 637–642. 5 indexed citations

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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