Sina Shaham

836 total citations · 1 hit paper
18 papers, 386 citations indexed

About

Sina Shaham is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Sina Shaham has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 6 papers in Sociology and Political Science. Recurrent topics in Sina Shaham's 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). Sina Shaham is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Sina Shaham collaborates with scholars based in United States, Australia and China. Sina Shaham's co-authors include Ming Ding, Zihuai Lin, Bo Liu, Wenny Rahayu, Farhad Farokhi, Shuping Dang, Jun Li, Bhaskar Krishnamachari, Zhenrong Zhang and Zhihan Lv and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Sina Shaham

15 papers receiving 376 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

When Machine Learning Meets Privacy

2021 227 citations Bo Liu, Ming Ding et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sina Shaham United States	7	285	84	68	57	42	18	386
Cen Chen China	11	215 0.8×	62 0.7×	40 0.6×	53 0.9×	26 0.6×	43	349
Apostolos Pyrgelis Switzerland	10	195 0.7×	37 0.4×	41 0.6×	73 1.3×	75 1.8×	23	315
Igor Bilogrevic Switzerland	12	178 0.6×	112 1.3×	79 1.2×	127 2.2×	105 2.5×	24	363
Yiqun Diao Singapore	2	503 1.8×	38 0.5×	53 0.8×	53 0.9×	85 2.0×	5	566
Huaxin Li China	7	260 0.9×	107 1.3×	87 1.3×	65 1.1×	119 2.8×	14	373
Xiao Pan China	9	288 1.0×	141 1.7×	86 1.3×	35 0.6×	29 0.7×	38	369
Mengkai Song China	8	765 2.7×	75 0.9×	95 1.4×	83 1.5×	122 2.9×	9	890
Ioannis Krontiris Germany	13	216 0.8×	98 1.2×	65 1.0×	65 1.1×	229 5.5×	31	500
Vita Santa Barletta Italy	11	110 0.4×	32 0.4×	79 1.2×	89 1.6×	88 2.1×	40	316

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

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18 of 18 papers shown

1.

Shaham, Sina, et al.. (2025). Toward Personalized Quantum Federated Learning for Anomaly Detection. IEEE Transactions on Network Science and Engineering. 13. 3335–3350.

2.

Shaham, Sina, Dinh C. Nguyen, Bhaskar Krishnamachari, et al.. (2025). Privacy and Fairness in Machine Learning: A Survey. IEEE Transactions on Artificial Intelligence. 6(7). 1706–1726.

3.

Shaham, Sina, Gabriel Ghinita, & Cyrus Shahabi. (2024). Fair Spatial Indexing: A paradigm for Group Spatial Fairness. PubMed. 27(2). 150–161.

4.

Shaham, Sina, et al.. (2024). Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities. ACM Computing Surveys. 57(3). 1–29. 13 indexed citations

5.

Shaham, Sina, et al.. (2023). Generating Realistic and Representative Trajectories with Mobility Behavior Clustering. PubMed. 2023. 1–4. 3 indexed citations

6.

Shaham, Sina, et al.. (2022). Enabling Cooperative Relay Selection by Transfer Learning for the Industrial Internet of Things. IEEE Transactions on Cognitive Communications and Networking. 8(2). 1131–1146. 9 indexed citations

7.

Shaham, Sina, Gabriel Ghinita, & Cyrus Shahabi. (2022). Models and mechanisms for spatial data fairness. Proceedings of the VLDB Endowment. 16(2). 167–179. 3 indexed citations

8.

Shaham, Sina, et al.. (2022). HTF: Homogeneous Tree Framework for Differentially Private Release of Large Geospatial Datasets with Self-tuning Structure Height. ACM Transactions on Spatial Algorithms and Systems. 9(4). 1–30. 2 indexed citations

9.

Liu, Bo, Ming Ding, Sina Shaham, et al.. (2021). When Machine Learning Meets Privacy. ACM Computing Surveys. 54(2). 1–36. 227 indexed citations breakdown →

10.

Shaham, Sina, Gabriel Ghinita, & Cyrus Shahabi. (2021). An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes. Movebank. 265–276. 1 indexed citations

11.

Shaham, Sina, et al.. (2021). HTF. 184–194. 2 indexed citations

12.

Shaham, Sina, Ming Ding, Bo Liu, et al.. (2020). Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model. IEEE Transactions on Mobile Computing. 20(10). 3006–3019. 45 indexed citations

13.

Shaham, Sina, Ming Ding, Bo Liu, et al.. (2020). Privacy Preserving Location Data Publishing: A Machine Learning Approach. IEEE Transactions on Knowledge and Data Engineering. 33(9). 3270–3283. 47 indexed citations

14.

Dang, Shuping, et al.. (2019). Basic Research Methodology in Wireless Communications: The First Course for Research-Based Graduate Students. IEEE Access. 7. 86678–86696. 15 indexed citations

15.

Shaham, Sina, Ming Ding, Bo Liu, Zihuai Lin, & Jun Li. (2019). Transition-Entropy: A Novel Metric for Privacy Preservation in Location-Based Services. 1–6. 2 indexed citations

16.

Zhang, Li, Yuwen Qian, Ming Ding, et al.. (2019). Location Privacy Preservation Based on Continuous Queries for Location-Based Services. 5 indexed citations

17.

Shaham, Sina, et al.. (2018). RAF: Robust adaptive multi-feedback channel estimation for millimeter wave MIMO systems. 13. 1–6. 1 indexed citations

18.

Xiang, Zheng, et al.. (2015). Literature Review of the Communication Technology and Signal Processing Methodology Based on the Smart Grid. Applied Mechanics and Materials. 719-720. 436–442. 11 indexed citations

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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