Morteza Amini

819 total citations
46 papers, 478 citations indexed

About

Morteza Amini is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Morteza Amini has authored 46 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 24 papers in Artificial Intelligence and 23 papers in Information Systems. Recurrent topics in Morteza Amini's work include Access Control and Trust (26 papers), Service-Oriented Architecture and Web Services (11 papers) and Cryptography and Data Security (11 papers). Morteza Amini is often cited by papers focused on Access Control and Trust (26 papers), Service-Oriented Architecture and Web Services (11 papers) and Cryptography and Data Security (11 papers). Morteza Amini collaborates with scholars based in Iran, United States and Italy. Morteza Amini's co-authors include Rasool Jalili, Hamid Reza Shahriari, Reza Ebrahimi Atani, Hassan Takabi, Ahmed Imteaj, Amirreza Masoumzadeh, Bruno Crispo, Jafar Haadi Jafarian, Manuel Febrero–Bande and Eric Lenormand and has published in prestigious journals such as IEEE Access, IEEE Transactions on Software Engineering and Future Generation Computer Systems.

In The Last Decade

Morteza Amini

40 papers receiving 441 citations

Peers

Morteza Amini
Germano Caronni Switzerland
William Cheswick United States
Bruhadeshwar Bezawada United States
Dingbang Xu United States
Morteza Amini
Citations per year, relative to Morteza Amini Morteza Amini (= 1×) peers Rasool Jalili

Countries citing papers authored by Morteza Amini

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Amini

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

All Works

20 of 20 papers shown
1.
Huang, Heqing, et al.. (2024). Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events. IEEE Transactions on Software Engineering. 50(8). 2200–2218. 1 indexed citations
2.
Febrero–Bande, Manuel, et al.. (2024). Functional regression models with functional response: a new approach and a comparative study. Computational Statistics. 40(5). 2701–2727.
4.
Amini, Morteza, et al.. (2021). Integrity Checking for Aggregate Queries. IEEE Access. 9. 74068–74084.
5.
Fiore, Dario, et al.. (2021). A compiler for multi-key homomorphic signatures for Turing machines. Theoretical Computer Science. 889. 145–170. 1 indexed citations
6.
Imteaj, Ahmed, et al.. (2021). Federated Deep Learning for Heterogeneous Edge Computing. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1146–1152. 35 indexed citations
7.
Amini, Morteza, et al.. (2020). Efficient verification of parallel matrix multiplication in public cloud: the MapReduce case. Journal Of Big Data. 7(1). 2 indexed citations
8.
9.
Amini, Morteza, et al.. (2019). A semantic-based correlation approach for detecting hybrid and low-level APTs. Future Generation Computer Systems. 96. 64–88. 29 indexed citations
10.
Amini, Morteza, et al.. (2018). An access and inference control model for time series databases. Future Generation Computer Systems. 92. 93–108. 5 indexed citations
11.
Amini, Morteza, et al.. (2018). Multi-join query optimization in bucket-based encrypted databases using an enhanced ant colony optimization algorithm. Distributed and Parallel Databases. 36(2). 399–441. 11 indexed citations
12.
Amini, Morteza, et al.. (2016). Purpose-Based Privacy Preserving Access Control for Secure Service Provision and Composition. IEEE Transactions on Services Computing. 12(4). 604–620. 20 indexed citations
13.
Amini, Morteza, et al.. (2015). A Combination of Semantic and Attribute based Access Control Model for Virtual Organizations. 7(1). 27–45. 2 indexed citations
14.
Amini, Morteza, et al.. (2015). Preventing database schema extraction by error message handling. Information Systems. 56. 135–156. 1 indexed citations
15.
Amini, Morteza, et al.. (2014). A Semantic-Aware Role-Based Access Control Model for Pervasive Computing Environments. 5(2). 119–140. 1 indexed citations
18.
Amini, Morteza, et al.. (2009). Handling Context in a Semantic-Based Access Control Framework. 103–108. 7 indexed citations
19.
Takabi, Hassan, Morteza Amini, & Rasool Jalili. (2007). Separation of Duty in Role-Based Access Control Model through Fuzzy Relations. 125–130.
20.
Takabi, Hassan, Morteza Amini, & Rasool Jalili. (2007). Enhancing Role-Based Access Control Model through Fuzzy Relations. 131–136. 3 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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