Tara Salman

2.0k total citations · 2 hit papers
17 papers, 1.1k citations indexed

About

Tara Salman is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tara Salman has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Tara Salman's work include Blockchain Technology Applications and Security (8 papers), Network Security and Intrusion Detection (8 papers) and Privacy-Preserving Technologies in Data (6 papers). Tara Salman is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Network Security and Intrusion Detection (8 papers) and Privacy-Preserving Technologies in Data (6 papers). Tara Salman collaborates with scholars based in United States, Qatar and Brazil. Tara Salman's co-authors include Raj Jain, Maede Zolanvari, Devrim Ünal, Ali Ghubaish, Mohammed Samaka, Aiman Erbad, Abdulla Al‐Ali, Lav Gupta, Nader Meskin and Márcio Andrey Teixeira and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Tara Salman

15 papers receiving 1.1k citations

Hit 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.

Security Services Using Blockchains: A State of the Art Survey

2018 333 citations Tara Salman, Maede Zolanvari et al. IEEE Communications Surveys & Tutorials profile →
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security

2020 254 citations Ali Ghubaish, Tara Salman et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tara Salman United States	11	678	563	397	209	141	17	1.1k
Khalid Alsubhi Saudi Arabia	18	799 1.2×	408 0.7×	404 1.0×	249 1.2×	127 0.9×	58	1.1k
Noshina Tariq Pakistan	18	640 0.9×	424 0.8×	264 0.7×	156 0.7×	112 0.8×	44	941
Maede Zolanvari United States	10	956 1.4×	627 1.1×	647 1.6×	333 1.6×	353 2.5×	13	1.6k
Kashif Kifayat United Kingdom	15	481 0.7×	496 0.9×	405 1.0×	263 1.3×	77 0.5×	65	1.0k
Mário M. Freire Portugal	15	714 1.1×	622 1.1×	416 1.0×	205 1.0×	40 0.3×	100	1.3k
Abdelmadjid Bouabdallah France	13	842 1.2×	541 1.0×	410 1.0×	193 0.9×	58 0.4×	24	1.3k
Péter Bertök Australia	17	429 0.6×	348 0.6×	564 1.4×	178 0.9×	44 0.3×	63	1.1k
Carlos Becker Westphall Brazil	17	1.1k 1.5×	758 1.3×	506 1.3×	234 1.1×	64 0.5×	101	1.5k
Shaoying Liu Japan	17	268 0.4×	671 1.2×	371 0.9×	96 0.5×	47 0.3×	137	1.3k

Countries citing papers authored by Tara Salman

Since Specialization

Citations

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

Fields of papers citing papers by Tara Salman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara Salman

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

All Works

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17 of 17 papers shown

Salman, Tara, et al.. (2025). Hierarchical Federated Learning: Approaches, Applications, and Open Challenges. IEEE Access. 13. 190333–190353.

Baza, Mohamed, et al.. (2024). On the Analysis of Model Poisoning Attacks Against Blockchain-Based Federated Learning. 943–949.

Baza, Mohamed, et al.. (2023). A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions. Computer Science Review. 48. 100547–100547. 41 indexed citations

Yang, Zebo, Tara Salman, Raj Jain, & Roberto Di Pietro. (2022). Decentralization Using Quantum Blockchain: A Theoretical Analysis. IEEE Transactions on Quantum Engineering. 3. 1–16. 43 indexed citations

Salman, Tara, et al.. (2022). Machine Learning vs Deep Learning for Anomaly Detection and Categorization in Multi-cloud Environments. 44–50. 6 indexed citations

Baza, Mohamed, et al.. (2022). A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions. arXiv (Cornell University). 1 indexed citations

Gupta, Lav, Tara Salman, Ali Ghubaish, et al.. (2022). Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach. Applied Soft Computing. 118. 108439–108439. 46 indexed citations

Ghubaish, Ali, Tara Salman, Maede Zolanvari, et al.. (2020). Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security. IEEE Internet of Things Journal. 8(11). 8707–8718. 254 indexed citations breakdown →

Ghubaish, Ali, et al.. (2020). Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study. IEEE Access. 8. 106576–106584. 187 indexed citations

10.

Salman, Tara, Ali Ghubaish, Devrim Ünal, & Raj Jain. (2020). Safety Score as an Evaluation Metric for Machine Learning Models of Security Applications. IEEE Networking Letters. 2(4). 207–211. 13 indexed citations

11.

Gupta, Lav, Tara Salman, Maede Zolanvari, Aiman Erbad, & Raj Jain. (2019). Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study. Computer Networks. 165. 106950–106950. 21 indexed citations

12.

Gupta, Lav, et al.. (2019). HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems. Qatar University QSpace (Qatar University). 141–147. 5 indexed citations

13.

Salman, Tara, Raj Jain, & Lav Gupta. (2019). A Reputation Management Framework for Knowledge-Based and Probabilistic Blockchains. 520–527. 15 indexed citations

14.

Teixeira, Márcio Andrey, Tara Salman, Maede Zolanvari, et al.. (2018). SCADA System Testbed for Cybersecurity Research Using Machine Learning Approach. Future Internet. 10(8). 76–76. 119 indexed citations

15.

Salman, Tara, Raj Jain, & Lav Gupta. (2018). Probabilistic Blockchains: A Blockchain Paradigm for Collaborative Decision-Making. 457–465. 12 indexed citations

16.

Salman, Tara, Maede Zolanvari, Aiman Erbad, Raj Jain, & Mohammed Samaka. (2018). Security Services Using Blockchains: A State of the Art Survey. IEEE Communications Surveys & Tutorials. 21(1). 858–880. 333 indexed citations breakdown →

17.

Badawy, Ahmed, Tara Salman, Tarek Elfouly, et al.. (2017). Estimating the number of sources in white Gaussian noise: simple eigenvalues based approaches. IET Signal Processing. 11(6). 663–673. 10 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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