Mehdi Nasri

1.5k total citations
58 papers, 1.1k citations indexed

About

Mehdi Nasri is a scholar working on Computer Vision and Pattern Recognition, Language and Linguistics and Developmental and Educational Psychology. According to data from OpenAlex, Mehdi Nasri has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 16 papers in Language and Linguistics and 13 papers in Developmental and Educational Psychology. Recurrent topics in Mehdi Nasri's work include EFL/ESL Teaching and Learning (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Robotics and Sensor-Based Localization (8 papers). Mehdi Nasri is often cited by papers focused on EFL/ESL Teaching and Learning (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Robotics and Sensor-Based Localization (8 papers). Mehdi Nasri collaborates with scholars based in Iran, United States and Indonesia. Mehdi Nasri's co-authors include Ehsan Namaziandost, Hossein Nezamabadi–pour, Reza Biria, Mohammad Ali Heidari‐Shahreza, Mohammad Mahdi Rezaei, Mohammad Abedini, Saeı̈d Saryazdi, Akbar Afghari, Juan de Dios Martínez Agudo and Sajad Shafiee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Biomedical Signal Processing and Control.

In The Last Decade

Mehdi Nasri

54 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehdi Nasri Iran 16 301 226 209 198 172 58 1.1k
Mau‐Tsuen Yang Taiwan 14 322 1.1× 50 0.2× 41 0.2× 22 0.1× 60 0.3× 28 564
Takafumi Taketomi Japan 15 1.2k 3.9× 67 0.3× 117 0.6× 10 0.1× 247 1.4× 85 1.6k
Lei Jing Japan 16 206 0.7× 100 0.4× 92 0.4× 4 0.0× 95 0.6× 104 820
Pascal Klein Germany 18 148 0.5× 393 1.7× 191 0.9× 8 0.0× 105 0.6× 73 942
Dongdong Weng China 16 606 2.0× 32 0.1× 85 0.4× 4 0.0× 116 0.7× 145 1.1k
Luis Puig Spain 17 383 1.3× 137 0.6× 82 0.4× 5 0.0× 24 0.1× 46 895
Tolga Çapın Türkiye 15 498 1.7× 15 0.1× 26 0.1× 18 0.1× 22 0.1× 61 823
Cagri Ozcinar Ireland 18 811 2.7× 58 0.3× 46 0.2× 4 0.0× 78 0.5× 59 1.2k
Lau Bee Theng Malaysia 11 181 0.6× 113 0.5× 15 0.1× 5 0.0× 72 0.4× 81 656
Chunyu Hu China 13 247 0.8× 11 0.0× 23 0.1× 31 0.2× 14 0.1× 56 766

Countries citing papers authored by Mehdi Nasri

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Nasri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Nasri

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Nasri. A scholar is included among the top collaborators of Mehdi Nasri 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 Mehdi Nasri. Mehdi Nasri 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.
Nasri, Mehdi, et al.. (2024). A new hybrid strategy in medical image registration based on graph transformation matching and mean-based RANSAC algorithms. Multimedia Tools and Applications. 83(35). 82777–82804. 2 indexed citations
2.
Nasri, Mehdi, et al.. (2023). PREDICTIVE VALIDITY OF STUDENT AND SCHOOL VARIABLES: A MULTIPLE REGRESSION ANALYSIS ON DIVERSE STUDENTS’ MATHEMATICS ACHIEVEMENT. International Journal of Education Psychology and Counseling. 8(52). 310–327.
3.
Nasri, Mehdi, et al.. (2023). Binary Water Stream Algorithm: A New Metaheuristic Optimization Technique. 10. 181–185. 1 indexed citations
4.
Ismail, Sayed M., et al.. (2023). REVISITING SAUDI UNIVERSITY EFL LEARNERS’ ENGAGEMENT TO TEACHERS WRITTEN CORRECTIVE FEEDBACK FROM A SOCIO-COGNITIVE PERSPECTIVE. Conhecimento & Diversidade. 15(37). 118–134. 1 indexed citations
5.
Nasri, Mehdi, et al.. (2023). AS3-SAE: Automatic Sleep Stages Scoring Using Stacked Autoencoders. SHILAP Revista de lepidopterología. 2 indexed citations
6.
7.
Nasri, Mehdi, et al.. (2021). Design and Implementation of an Exergame Using Image Processing Techniques for Telerehabilitation of Patients with Physical Disabilities. SHILAP Revista de lepidopterología. 8(1). 94–104.
8.
Nasri, Mehdi, et al.. (2021). An Investigation of Iranian Intermediate EFL Learners’ L2 Motivation and Attitude in a Computer-Assisted Language Learning Environment. SHILAP Revista de lepidopterología. 10(1). 355–389. 6 indexed citations
9.
10.
Namaziandost, Ehsan, et al.. (2019). The Impact of Swain’s Pushed Output Hypothesis on Enhancing Iranian EFL Learners’ Reading Comprehension. International Journal on Studies in English Language and Literature. 7(10). 2 indexed citations
11.
Namaziandost, Ehsan & Mehdi Nasri. (2019). A Meticulous Look at Long’s (1981) Interaction Hypothesis: Does It Have Any Effect on Speaking Skill?. Journal of applied linguistics and language research. 6(2). 218–230. 15 indexed citations
12.
Namaziandost, Ehsan, et al.. (2019). Texts with Various Levels of Hardness, Reading Comprehension and Reading Motivation: I+1 Versus I-1. SHILAP Revista de lepidopterología. 8(1). 60–77. 8 indexed citations
13.
14.
Namaziandost, Ehsan & Mehdi Nasri. (2019). The Impact of Social Media on EFL Learners’ Speaking Skill: A Survey Study Involving EFL Teachers and Students. Journal of applied linguistics and language research. 6(3). 199–215. 71 indexed citations
15.
Namaziandost, Ehsan, et al.. (2019). The Comparative Effect of Content-based Language Teaching and Task-based Language Teaching on Iranian Pre-intermediate EFL Learners’ Reading Skill. Theory and Practice in Language Studies. 9(10). 1278–1278. 4 indexed citations
16.
Namaziandost, Ehsan, et al.. (2019). Comparing the impacts of various inputs(I + 1 & I-1) on pre-intermediate EFL learners’ Reading comprehension and Reading motivation: the case of Ahvazi learners. Asian-Pacific Journal of Second and Foreign Language Education. 4(1). 14 indexed citations
17.
Namaziandost, Ehsan, Sajad Shafiee, & Mehdi Nasri. (2019). INVESTIGATING THE IMPACT OF GENRE-BASED TEACHING (GBT) ON EFL LEARNERS� LISTENING IMPROVEMENT. English Review Journal of English Education. 8(1). 11–11. 2 indexed citations
18.
Namaziandost, Ehsan, et al.. (2019). Cohesive Conjunctions in Applied Linguistics Research Articles among Iranian and Non-Iranian Researchers: A Comparative Corpus-based Study. SHILAP Revista de lepidopterología. 4(2). 101–101. 6 indexed citations
19.
Nasri, Mehdi, et al.. (2018). Document Image Binarization Based on Combination of Global and Local Thresholding Methods. 18(2). 74–87.
20.
Nasri, Mehdi & Hossein Nezamabadi–pour. (2008). Image denoising in the wavelet domain using a new adaptive thresholding function. Neurocomputing. 72(4-6). 1012–1025. 156 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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