Mohammad Reza Keyvanpour

2.4k total citations
196 papers, 1.5k citations indexed

About

Mohammad Reza Keyvanpour is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Reza Keyvanpour has authored 196 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 60 papers in Information Systems and 58 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Reza Keyvanpour's work include Software Engineering Research (22 papers), Software Testing and Debugging Techniques (21 papers) and Software Reliability and Analysis Research (19 papers). Mohammad Reza Keyvanpour is often cited by papers focused on Software Engineering Research (22 papers), Software Testing and Debugging Techniques (21 papers) and Software Reliability and Analysis Research (19 papers). Mohammad Reza Keyvanpour collaborates with scholars based in Iran and United States. Mohammad Reza Keyvanpour's co-authors include Behrooz Masoumi, Arash Sharifi, Hamed Hassanzadeh, Reza Azmi, Azam Bastanfard, Soheila Molaei, Mohammad Bagher Menhaj, Saeed Mozaffari, Saeed Parsa and Hamidreza Rashidy Kanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Mohammad Reza Keyvanpour

176 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Reza Keyvanpour Iran 19 651 442 347 164 140 196 1.5k
Lingfei Wu United States 25 1.3k 2.0× 290 0.7× 464 1.3× 238 1.5× 206 1.5× 104 1.9k
Qinbao Song China 20 1.1k 1.7× 403 0.9× 320 0.9× 196 1.2× 136 1.0× 53 1.7k
Ping Chen China 24 841 1.3× 204 0.5× 359 1.0× 199 1.2× 152 1.1× 165 1.9k
Matt J. Kusner United States 14 1.1k 1.7× 316 0.7× 246 0.7× 73 0.4× 72 0.5× 26 1.7k
Stefan Wrobel Germany 23 901 1.4× 597 1.4× 353 1.0× 168 1.0× 373 2.7× 76 2.2k
Dan Yang China 25 543 0.8× 730 1.7× 486 1.4× 331 2.0× 86 0.6× 173 2.1k
Alí­pio Jorge Portugal 20 1.0k 1.5× 274 0.6× 572 1.6× 142 0.9× 300 2.1× 110 2.1k
Usman Qamar Pakistan 27 1.3k 2.0× 210 0.5× 915 2.6× 310 1.9× 88 0.6× 141 2.5k
Ruichu Cai China 21 791 1.2× 242 0.5× 226 0.7× 218 1.3× 162 1.2× 135 1.5k

Countries citing papers authored by Mohammad Reza Keyvanpour

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Reza Keyvanpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Reza Keyvanpour. 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 Mohammad Reza Keyvanpour. The network helps show where Mohammad Reza Keyvanpour may publish in the future.

Co-authorship network of co-authors of Mohammad Reza Keyvanpour

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Reza Keyvanpour. A scholar is included among the top collaborators of Mohammad Reza Keyvanpour 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 Mohammad Reza Keyvanpour. Mohammad Reza Keyvanpour 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.
Bastanfard, Azam, et al.. (2025). DB-QM: A Comparative Quality Measurement and Its Prospective on Persian/Arabic Databases for OCR. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(7). 1–25.
2.
Keyvanpour, Mohammad Reza, et al.. (2024). HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction. Chemometrics and Intelligent Laboratory Systems. 253. 105224–105224.
3.
Masoumi, Behrooz, et al.. (2024). An Enhanced Ensemble Learning Method for Sentiment Analysis based on Q-learning. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 48(3). 1261–1277. 1 indexed citations
4.
Keyvanpour, Mohammad Reza, et al.. (2023). Fuzzy-ID3 Algorithm for Breast Cancer Disease Classification. 23. 185–188. 1 indexed citations
5.
Keyvanpour, Mohammad Reza, et al.. (2023). Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study. Engineering Applications of Artificial Intelligence. 126. 106754–106754. 7 indexed citations
6.
Keyvanpour, Mohammad Reza, et al.. (2023). HAR-CO: A comparative analytical review for recognizing conventional human activity in stream data relying on challenges and approaches. Multimedia Tools and Applications. 83(14). 40811–40856. 1 indexed citations
7.
Keyvanpour, Mohammad Reza, et al.. (2023). Parameter tuning for software fault prediction with different variants of differential evolution. Expert Systems with Applications. 237. 121251–121251. 9 indexed citations
8.
Keyvanpour, Mohammad Reza, et al.. (2021). Temporal Convolutional Learning: A New Sequence-based Structure to Promote the Performance of Convolutional Neural Networks in Recognizing P300 Signals. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Keyvanpour, Mohammad Reza, et al.. (2021). An analytical review of texture feature extraction approaches. International Journal of Computer Applications in Technology. 65(2). 118–118. 11 indexed citations
10.
Masoumi, Behrooz, et al.. (2021). A Hybrid Framework for Personality Prediction based on Fuzzy Neural Networks and Deep Neural Networks. 9(3). 283–294. 2 indexed citations
11.
Bastanfard, Azam, et al.. (2021). TRCLA: A Transfer Learning Approach to Reduce Negative Transfer for Cellular Learning Automata. IEEE Transactions on Neural Networks and Learning Systems. 34(5). 2480–2489. 40 indexed citations
12.
Keyvanpour, Mohammad Reza, et al.. (2020). An Analysis of QSAR Research Based on Machine Learning Concepts. Current Drug Discovery Technologies. 18(1). 17–30. 50 indexed citations
13.
Keyvanpour, Mohammad Reza, et al.. (2019). MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Keyvanpour, Mohammad Reza, et al.. (2019). An RDF Based Fuzzy Ontology Using Neural Tensor Networks. 11(1). 45–56. 1 indexed citations
15.
Keyvanpour, Mohammad Reza, et al.. (2018). A Useful Framework for Identification and Analysis of Different Query Expansion Approaches based on the Candidate Expansion Terms Extraction Methods. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Keyvanpour, Mohammad Reza, et al.. (2016). PHMM: Stemming on Persian Texts using Statistical Stemmer Based on Hidden Markov ModelPHMM: Stemming on Persian Texts using Statistical Stemmer Based on Hidden Markov Model. SHILAP Revista de lepidopterología. 14(2). 3 indexed citations
17.
Keyvanpour, Mohammad Reza, et al.. (2016). MRE2C: A method for constructing multi relational ensemble classifier based on two-step combining classifiers. 15(4). 19–26. 1 indexed citations
18.
Keyvanpour, Mohammad Reza, et al.. (2015). HWS: A Hierarchical Word Spotting Method for Farsi Printed Words Through Word Shape Coding. SHILAP Revista de lepidopterología. 7(2). 59–70. 1 indexed citations
19.
Keyvanpour, Mohammad Reza, et al.. (2012). Effects of Quaghistogram on Image Retrievl and Clustering.. 9. 141–153. 2 indexed citations
20.
Keyvanpour, Mohammad Reza, et al.. (2012). Automatic Software Test Case Generation: An Analytical Classification Framework. International Journal of Software Engineering and Its Applications. 6(4). 1–16. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026