Hamid Saadatfar

858 total citations
31 papers, 551 citations indexed

About

Hamid Saadatfar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Hamid Saadatfar has authored 31 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 13 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Hamid Saadatfar's work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (6 papers) and Machine Learning and Data Classification (5 papers). Hamid Saadatfar is often cited by papers focused on Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (6 papers) and Machine Learning and Data Classification (5 papers). Hamid Saadatfar collaborates with scholars based in Iran, Australia and Vietnam. Hamid Saadatfar's co-authors include Javad Hassannataj Joloudari, Shahaboddin Shamshirband, Amir Mosavi, Abdollah Dehzangi, Mohammad GhasemiGol, Narjes Nabipour, Hossein Deldari, Seyyed Mohammad Razavi, László Nádai and Seyyed Mehdi Hosseini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Hamid Saadatfar

26 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Saadatfar Iran 12 216 122 118 89 66 31 551
V. Muthukumaran India 15 201 0.9× 65 0.5× 114 1.0× 108 1.2× 79 1.2× 63 729
Hanaa Salem Egypt 15 344 1.6× 117 1.0× 86 0.7× 75 0.8× 41 0.6× 40 872
Amit Kishor India 10 151 0.7× 96 0.8× 252 2.1× 157 1.8× 68 1.0× 16 600
Dina Elreedy Egypt 5 287 1.3× 72 0.6× 48 0.4× 57 0.6× 75 1.1× 10 599
Zhenfei Wang China 11 129 0.6× 90 0.7× 85 0.7× 61 0.7× 48 0.7× 56 444
S. Phani Praveen India 14 203 0.9× 80 0.7× 108 0.9× 83 0.9× 39 0.6× 53 685
Mohammad Sh. Daoud United Arab Emirates 15 198 0.9× 53 0.4× 96 0.8× 110 1.2× 89 1.3× 63 592
Salabat Khan Pakistan 15 271 1.3× 51 0.4× 167 1.4× 75 0.8× 129 2.0× 33 603
Adeeb Noor Saudi Arabia 11 291 1.3× 323 2.6× 103 0.9× 60 0.7× 38 0.6× 37 751
Javad Hassannataj Joloudari Iran 14 350 1.6× 171 1.4× 138 1.2× 95 1.1× 43 0.7× 33 811

Countries citing papers authored by Hamid Saadatfar

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Saadatfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Saadatfar

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Saadatfar. A scholar is included among the top collaborators of Hamid Saadatfar 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 Hamid Saadatfar. Hamid Saadatfar 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.
Saadatfar, Hamid, et al.. (2025). Insomnia in university students: a review of etiological factors and the advancement of data analytic techniques. Sleep And Breathing. 29(3). 198–198.
2.
Nazari, Mohammad Ali & Hamid Saadatfar. (2025). Enhanced instance selection for large-scale data using integrated clustering and autoencoder techniques. International Journal of Data Science and Analytics. 20(6). 5585–5602.
3.
Saadatfar, Hamid, et al.. (2024). US-LIME: Increasing fidelity in LIME using uncertainty sampling on tabular data. Neurocomputing. 597. 127969–127969. 5 indexed citations
4.
Saadatfar, Hamid, et al.. (2024). A New Dynamic Game-Based Pricing Model for Cloud Environment. Future Internet. 16(2). 49–49. 3 indexed citations
5.
Saadatfar, Hamid, et al.. (2023). Evolution of the random subset feature selection algorithm for classification problem. Knowledge-Based Systems. 285. 111352–111352. 12 indexed citations
6.
Joloudari, Javad Hassannataj, Hamid Saadatfar, Mohammad GhasemiGol, et al.. (2022). FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model. Mathematical Biosciences & Engineering. 19(4). 3609–3635. 11 indexed citations
7.
Saadatfar, Hamid, et al.. (2022). Two density-based sampling approaches for imbalanced and overlapping data. Knowledge-Based Systems. 241. 108217–108217. 39 indexed citations
8.
Saadatfar, Hamid, et al.. (2022). A fast DBSCAN algorithm for big data based on efficient density calculation. Expert Systems with Applications. 203. 117501–117501. 47 indexed citations
9.
Saadatfar, Hamid, et al.. (2021). Applications of data mining in healthcare area: A survey. SHILAP Revista de lepidopterología. 5 indexed citations
10.
Joloudari, Javad Hassannataj, Hamid Saadatfar, Mohammad GhasemiGol, et al.. (2020). Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model. International Journal of Environmental Research and Public Health. 17(3). 731–731. 108 indexed citations
11.
Saadatfar, Hamid, et al.. (2020). A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning. Mathematics. 8(2). 286–286. 78 indexed citations
12.
Saadatfar, Hamid, et al.. (2020). Job failure prediction in Hadoop based on log file analysis. International Journal of Computers and Applications. 44(3). 260–269. 5 indexed citations
13.
Saadatfar, Hamid, et al.. (2020). K-DBSCAN: An improved DBSCAN algorithm for big data. The Journal of Supercomputing. 77(6). 6214–6235. 55 indexed citations
14.
Shamshirband, Shahaboddin, Javad Hassannataj Joloudari, Mohammad GhasemiGol, et al.. (2019). FCS-MBFLEACH: Designing an Energy-Aware Fault Detection System for Mobile Wireless Sensor Networks. Mathematics. 8(1). 28–28. 13 indexed citations
15.
Saadatfar, Hamid, et al.. (2019). RBSEP: a reassignment and buffer based streaming edge partitioning approach. Journal Of Big Data. 6(1). 5 indexed citations
16.
Vahdat‐Nejad, Hamed, et al.. (2017). A Framework for ranking ubiquitous computing services by AHP analysis. Advances in Complex Systems. 9(4). 1850023–1850023. 5 indexed citations
17.
Saadatfar, Hamid & Hossein Deldari. (2013). A job submission manager for large-scale distributed systems based on job futurity predictor. International Journal of Grid and Utility Computing. 5(1). 50–50. 2 indexed citations
18.
Saadatfar, Hamid, et al.. (2012). Predicting Job Failures in AuverGrid Based on Workload Log Analysis. New Generation Computing. 30(1). 73–94. 10 indexed citations
19.
Saadatfar, Hamid, et al.. (2010). Improving cluster computing performance based on job futurity prediction. 70. V6–303. 3 indexed citations
20.
Saadatfar, Hamid, et al.. (2009). Job failure prediction in grid environment based on workload characteristics. 329–334. 25 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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