Rebecca Goolsby
- Sociology and Political Science top 5%
- Communication top 2%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Huiji GaoGeoffrey BarbierLea ShanleyNitin AgarwalFred MorstatterJürgen PfefferKathleen M. CarleyHuan Liu
- Topics
- Misinformation and Its Impacts (2 papers)Disaster Management and Resilience (2 papers)Complex Network Analysis Techniques (2 papers)
- Journals
- Physica A Statistical Mechanics and its ApplicationsSocial NetworksIEEE Intelligent Systems
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Rebecca Goolsby
11 papers receiving 637 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Sociology and Political Science 313
- Communication 305
- Artificial Intelligence 127
- Computer Science Applications 108
- Statistical and Nonlinear Physics 102
Countries citing papers authored by Rebecca Goolsby
This map shows the geographic impact of Rebecca Goolsby'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 Rebecca Goolsby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Goolsby more than expected).
Fields of papers citing papers by Rebecca Goolsby
This network shows the impact of papers produced by Rebecca Goolsby. 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 Rebecca Goolsby. The network helps show where Rebecca Goolsby may publish in the future.
Co-authorship network of co-authors of Rebecca Goolsby
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Goolsby. A scholar is included among the top collaborators of Rebecca Goolsby 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 Rebecca Goolsby. Rebecca Goolsby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | On Cybersecurity, Crowdsourcing, and Social Cyber-Attack | 14 |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Harnessing the Crowdsourcing Power of Social Media for Disaster Reliefbreakdown → | 532 |
| 8 | 113 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 3 |
About Rebecca Goolsby
Rebecca Goolsby is a scholar working on Communication, Statistical and Nonlinear Physics and Information Systems and Management, having authored 11 papers that have together received 701 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (2 papers), Disaster Management and Resilience (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Communication (305 citations), Computer Science Applications (108 citations) and Geography, Planning and Development (97 citations). Rebecca Goolsby has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Huiji Gao, Geoffrey Barbier, Lea Shanley, Nitin Agarwal, Fred Morstatter, Jürgen Pfeffer, Kathleen M. Carley, Huan Liu and Nigel Gilbert. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Social Networks and IEEE Intelligent Systems.
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.