Gilad Lotan
- Communication top 0.2%
- Sociology and Political Science top 1%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Co-authors
- danah boydSu GolderErhardt GraeffDevin GaffneyIan PearceMike AnannyJohn KellyThomas Zeitzoff
- Topics
- Social Media and Politics (4 papers)Complex Network Analysis Techniques (4 papers)Opinion Dynamics and Social Influence (3 papers)
- Journals
- Journal of Peace ResearchIEEE Transactions on Network Science and EngineeringIEEE Multimedia
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Gilad Lotan
10 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Communication 1.1k
- Sociology and Political Science 971
- Statistical and Nonlinear Physics 654
- Artificial Intelligence 376
- Information Systems 257
Countries citing papers authored by Gilad Lotan
This map shows the geographic impact of Gilad Lotan'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 Gilad Lotan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilad Lotan more than expected).
Fields of papers citing papers by Gilad Lotan
This network shows the impact of papers produced by Gilad Lotan. 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 Gilad Lotan. The network helps show where Gilad Lotan may publish in the future.
Co-authorship network of co-authors of Gilad Lotan
This figure shows the co-authorship network connecting the top 25 collaborators of Gilad Lotan. A scholar is included among the top collaborators of Gilad Lotan 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 Gilad Lotan. Gilad Lotan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 33 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | The Arab Spring| The Revolutions Were Tweeted: Information Flows during the 2011 Tunisian and Egyptian Revolutions | 233 |
| 9 | The Revolutions Were Tweeted: Information Flows During the 2011 Tunisian and Egyptian Revolutionsbreakdown → | 378 |
| 10 | Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitterbreakdown → | 1373 |
| 11 | 13 |
About Gilad Lotan
Gilad Lotan is a scholar working on Communication, Transportation and Statistical and Nonlinear Physics, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Complex Network Analysis Techniques (4 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Communication (1.1k citations), Statistical and Nonlinear Physics (654 citations) and Human-Computer Interaction (132 citations). Gilad Lotan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include danah boyd, Su Golder, Erhardt Graeff, Devin Gaffney, Ian Pearce, Mike Ananny, John Kelly, Thomas Zeitzoff, Suman Roy and Mor Naaman. Their work appears in journals such as Journal of Peace Research, IEEE Transactions on Network Science and Engineering and IEEE Multimedia.
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.