Elias Issa

San Diego State University

Papers

2

Total Citations

25

H-Index

2

About

Elias Issa is a researcher focused on the intersection of geographic information science and social media analytics, with a particular emphasis on the spatio-temporal dynamics of user-generated content. His major contribution lies in critically examining the utility and limitations of geotagged Twitter data for real-world event analysis. Through his most-cited work (2017, 23 citations), Issa demonstrated that while geotagged messages offer powerful potential for tracking the spatial diffusion of phenomena like disease outbreaks, their extremely small percentage relative to non-geotagged content poses significant methodological challenges. By conducting case studies on the topics of flu and the movie *Ted*, he provided a nuanced understanding of how researchers can leverage both geotagged and non-geotagged data to extract meaningful spatial patterns. This work has been influential for scholars in computational social science, public health surveillance, and urban informatics, highlighting the need for careful data interpretation. Issa’s research continues to inform best practices for using social media as a proxy for real-world events, making him a notable voice in the evolving field of geographic information retrieval.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Understanding the spatio-temporal characteristics of Twitter data with geotagged and non-geotagged content: two case studies with the topic of flu and <i>Ted</i> (movie)
23 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: San Diego State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago