Sai Teja Peddinti
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Communication top 10%
- Co-authors
- Justin CapposKeith RossNitesh SaxenaNina TaftIgor BilogrevicGeetanjali SampemaneAleksandra KorolovaElie Bursztein
- Topics
- Privacy, Security, and Data Protection (11 papers)Privacy-Preserving Technologies in Data (6 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
- Journals
- IEEE Security & PrivacyJournal of Computer SecurityUSENIX Security Symposium
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Sai Teja Peddinti
19 papers receiving 256 citations
Peers
Comparison fields: 5 of 51
- Sociology and Political Science 133
- Artificial Intelligence 113
- Information Systems 96
- Signal Processing 56
- Communication 39
Countries citing papers authored by Sai Teja Peddinti
This map shows the geographic impact of Sai Teja Peddinti'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 Sai Teja Peddinti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Teja Peddinti more than expected).
Fields of papers citing papers by Sai Teja Peddinti
This network shows the impact of papers produced by Sai Teja Peddinti. 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 Sai Teja Peddinti. The network helps show where Sai Teja Peddinti may publish in the future.
Co-authorship network of co-authors of Sai Teja Peddinti
This figure shows the co-authorship network connecting the top 25 collaborators of Sai Teja Peddinti. A scholar is included among the top collaborators of Sai Teja Peddinti 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 Sai Teja Peddinti. Sai Teja Peddinti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | A Large Scale Study of User Behavior, Expectations and Engagement with Android Permissions | 7 |
| 7 | 1 | |
| 8 | 15 | |
| 9 | Exploring decision making with android's runtime permission dialogs using in-context surveys | 24 |
| 10 | 18 | |
| 11 | 1 | |
| 12 | Perceived Frequency of Advertising Practices | 1 |
| 13 | 8 | |
| 14 | 25 | |
| 15 | 63 | |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 19 | |
| 19 | 6 |
About Sai Teja Peddinti
Sai Teja Peddinti is a scholar working on Computer Science Applications, Signal Processing and Sociology and Political Science, having authored 19 papers that have together received 263 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (11 papers), Privacy-Preserving Technologies in Data (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Communication (39 citations), Signal Processing (56 citations) and Information Systems (96 citations). Sai Teja Peddinti has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Justin Cappos, Keith Ross, Nitesh Saxena, Nina Taft, Igor Bilogrevic, Geetanjali Sampemane, Aleksandra Korolova, Elie Bursztein, Keith W. Ross and Yuan Ding. Their work appears in journals such as IEEE Security & Privacy, Journal of Computer Security and USENIX Security Symposium.
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.