Sina Shaham

836 citations
18 papers · 386 indexed · 1 hit paper · h-index 7
Topics
Privacy-Preserving Technologies in Data (9 papers)Privacy, Security, and Data Protection (5 papers)Human Mobility and Location-Based Analysis (5 papers)

In The Last Decade

Sina Shaham

15 papers receiving 376 citations

Hit Papers

When Machine Learning Meets Privacy2021202620222024202150100150200

Peers

Sina Shaham
Comparison fields: 5 of 66
  • Artificial Intelligence 285
  • Sociology and Political Science 84
  • Electrical and Electronic Engineering 68
  • Information Systems 57
  • Computer Networks and Communications 42
Replace Cen Chen with:
Cen Chen China
Yiqun Diao Singapore
Apostolos Pyrgelis Switzerland
Vita Santa Barletta Italy
Mengkai Song China
Yushun Dong United States
Igor Bilogrevic Switzerland
Tianqing Zhu China
Linlin Chen United States
Sina Shaham relative to Cen Chen China Cen Chen's profile →
Citations per field
00.5×1.5×2.2×
Cen Chen · 1×
Citations per year

Countries citing papers authored by Sina Shaham

Since Specialization
Citations

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

Fields of papers citing papers by Sina Shaham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Shaham

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 13
5 3
6 9
7 3
8 2
9
When Machine Learning Meets Privacybreakdown →
227
10 1
11 2
12 47
13 45
14 15
15 2
16 5
17 1
18 11

About Sina Shaham

Sina Shaham is a scholar working on Transportation, Artificial Intelligence and Computer Science Applications, having authored 18 papers that have together received 386 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (5 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Computer Science Applications (36 citations) and Transportation (36 citations). Sina Shaham has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Ming Ding, Bo Liu, Zihuai Lin, Wenny Rahayu, Farhad Farokhi, Shuping Dang, Jun Li, Bhaskar Krishnamachari, Cyrus Shahabi and Zhenrong Zhang. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.

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.

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