Shashank Khandelwal

1.3k citations
5 papers · 799 indexed · 1 hit paper · h-index 4
Topics
Misinformation and Its Impacts (2 papers)Complex Network Analysis Techniques (1 paper)Web Application Security Vulnerabilities (1 paper)
Partner nations
United StatesSwedenIndia

In The Last Decade

Shashank Khandelwal

5 papers receiving 769 citations

Hit Papers

Assessing Vaccination Sentiments with Online Social Media...20112026201620212011100200300

Peers

Shashank Khandelwal
Comparison fields: 5 of 101
  • Epidemiology 336
  • Sociology and Political Science 292
  • Health 191
  • Modeling and Simulation 160
  • Artificial Intelligence 132
Replace Daniela Paolotti with:
Daniela Paolotti Italy
Alessio Signorini United States
Todd Bodnar United States
Jiawei Li United States
Pedro D. Manrique United States
Jon Parker United States
Swapnil Mishra United Kingdom
Gaurav Tuli United States
Ruoyan Sun United States
Nicolás Velásquez United States
Shashank Khandelwal relative to Daniela Paolotti Italy Daniela Paolotti's profile →
Citations per field
00.5×1.5×1.9×
Daniela Paolotti · 1×
Citations per year

Countries citing papers authored by Shashank Khandelwal

Since Specialization
Citations

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

Fields of papers citing papers by Shashank Khandelwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Khandelwal

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Frontline Techniques to Prevent Web Application Vulnerability
3
2 84
3 278
4
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Controlbreakdown →
366
5 68

About Shashank Khandelwal

Shashank Khandelwal is a scholar working on Modeling and Simulation, Health and Signal Processing, having authored 5 papers that have together received 799 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (2 papers), Complex Network Analysis Techniques (1 paper) and Web Application Security Vulnerabilities (1 paper). The work is most often cited by research in Modeling and Simulation (160 citations), Health (191 citations) and Statistical and Nonlinear Physics (122 citations). Shashank Khandelwal has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Marcel Salathé, Devon D. Brewer, Caroline O. Buckee, Ciro Cattuto, Patricia L. Mabry, Todd Bodnar, John S. Brownstein, Ellsworth M. Campbell, Alessandro Vespignani and Linus Bengtsson. Their work appears in journals such as BMC Bioinformatics, PLoS Computational Biology and EPJ Data Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026