Monireh Ebrahimi

708 total citations
12 papers, 449 citations indexed

About

Monireh Ebrahimi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Monireh Ebrahimi has authored 12 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Monireh Ebrahimi's work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and Computational Drug Discovery Methods (2 papers). Monireh Ebrahimi is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and Computational Drug Discovery Methods (2 papers). Monireh Ebrahimi collaborates with scholars based in United States, Malaysia and Italy. Monireh Ebrahimi's co-authors include Amir Hossein Yazdavar, Danial Jahed Armaghani, Ehsan Momeni, Edy Tonnizam Mohamad, Pascal Hitzler, Md Kamruzzaman Sarker, Jyotishman Pathak, Krishnaprasad Thirunarayan, Federico Bianchi and Tanvi Banerjee and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Neural Computing and Applications and National Science Review.

In The Last Decade

Monireh Ebrahimi

12 papers receiving 438 citations

Peers

Monireh Ebrahimi

CSE

Amir Hossein Yazdavar United States

Yingli Li China

Yinhe Zheng China

Zurinahni Zainol Malaysia

Tianyang Zhang China

Thai Binh Nguyen Vietnam

Muharrem Düğenci Türkiye

Xianxun Zhu China

Mohammad Mahdi Khalili United States

Amir Hossein Yazdavar United States

Monireh Ebrahimi

153 ×0.9

152 ×1.6

79 ×1.0

CSE

74 ×1.0

98 ×1.7

Citations per year, relative to Monireh Ebrahimi Monireh Ebrahimi (= 1×) peers Amir Hossein Yazdavar

Countries citing papers authored by Monireh Ebrahimi

Since Specialization

Citations

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

Fields of papers citing papers by Monireh Ebrahimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monireh Ebrahimi

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

All Works

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12 of 12 papers shown

Sarker, Md Kamruzzaman, et al.. (2022). Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication. Proceedings on Privacy Enhancing Technologies. 2022(4). 86–104. 4 indexed citations

Hitzler, Pascal, et al.. (2022). Neuro-symbolic approaches in artificial intelligence. National Science Review. 9(6). nwac035–nwac035. 56 indexed citations

Ebrahimi, Monireh, Md Kamruzzaman Sarker, Federico Bianchi, et al.. (2021). Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment.. Journal of Bioresource Management. 2 indexed citations

Ebrahimi, Monireh, et al.. (2021). Towards bridging the neuro-symbolic gap: deep deductive reasoners. Applied Intelligence. 51(9). 6326–6348. 17 indexed citations

Hitzler, Pascal, Federico Bianchi, Monireh Ebrahimi, & Md Kamruzzaman Sarker. (2019). Neural-symbolic integration and the Semantic Web. Semantic Web. 11(1). 3–11. 39 indexed citations

Yazdavar, Amir Hossein, Monireh Ebrahimi, Tanvi Banerjee, et al.. (2017). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. PubMed. 2017. 1191–1198. 111 indexed citations

Yazdavar, Amir Hossein, Monireh Ebrahimi, & Naomie Salim. (2017). Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences. arXiv (Cornell University). 3(4). 7–18. 8 indexed citations

Ebrahimi, Monireh, et al.. (2016). Drug Side Effect Detection as Implicit Opinion from Medical Reviews (Research Article). Research Journal of Applied Sciences Engineering and Technology. 12(11). 1086–1094. 1 indexed citations

Ebrahimi, Monireh, et al.. (2016). Recognition of side effects as implicit-opinion words in drug reviews. Online Information Review. 40(7). 1018–1032. 14 indexed citations

10.

Mohamad, Edy Tonnizam, Danial Jahed Armaghani, Ehsan Momeni, Amir Hossein Yazdavar, & Monireh Ebrahimi. (2016). Rock strength estimation: a PSO-based BP approach. Neural Computing and Applications. 30(5). 1635–1646. 156 indexed citations

11.

Amiri, I. S., Monireh Ebrahimi, Amir Hossein Yazdavar, et al.. (2014). Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier. IET Communications. 8(8). 1364–1373. 24 indexed citations

12.

Akbari, Elnaz, et al.. (2014). Analytical modeling and simulation of I–V characteristics in carbon nanotube based gas sensors using ANN and SVR methods. Chemometrics and Intelligent Laboratory Systems. 137. 173–180. 17 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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