Salman Salloum

1.1k total citations · 1 hit paper
14 papers, 676 citations indexed

About

Salman Salloum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salman Salloum has authored 14 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salman Salloum's work include Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers) and Data Stream Mining Techniques (3 papers). Salman Salloum is often cited by papers focused on Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers) and Data Stream Mining Techniques (3 papers). Salman Salloum collaborates with scholars based in China, Singapore and Syria. Salman Salloum's co-authors include Joshua Zhexue Huang, Xiaojun Chen, Ruslan Dautov, Mohammad Sultan Mahmud, Kuanishbay Sadatdiynov, Yulin He, Tamer Z. Emara, Lei Zhang, Laizhong Cui and Philippe Fournier‐Viger and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Journal Of Big Data.

In The Last Decade

Salman Salloum

14 papers receiving 647 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Big data analytics on Apache Spark

2016 261 citations Salman Salloum, Ruslan Dautov et al. International Journal of Data Science and Analytics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salman Salloum China	7	281	255	247	107	62	14	676
Wenmin Lin China	14	448 1.6×	252 1.0×	403 1.6×	99 0.9×	136 2.2×	34	857
E Haihong China	12	347 1.2×	305 1.2×	490 2.0×	127 1.2×	29 0.5×	92	882
Meina Song China	14	243 0.9×	308 1.2×	430 1.7×	148 1.4×	46 0.7×	128	802
Inmaculada Medina‐Bulo Spain	19	371 1.3×	165 0.6×	347 1.4×	80 0.7×	90 1.5×	99	893
Anju Bala India	14	426 1.5×	190 0.7×	445 1.8×	71 0.7×	100 1.6×	71	766
Vineet Kansal India	13	260 0.9×	163 0.6×	169 0.7×	70 0.7×	97 1.6×	62	575
Muhammad Asif Habib Pakistan	14	260 0.9×	219 0.9×	211 0.9×	159 1.5×	143 2.3×	69	739
Gamal Attiya Egypt	17	464 1.7×	310 1.2×	404 1.6×	156 1.5×	44 0.7×	71	1.0k
Alessandra Mileo Ireland	15	223 0.8×	277 1.1×	134 0.5×	165 1.5×	55 0.9×	49	672

Countries citing papers authored by Salman Salloum

Since Specialization

Citations

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

Fields of papers citing papers by Salman Salloum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salman Salloum

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

He, Yulin, et al.. (2023). A novel observation points‐based positive‐unlabeled learning algorithm. CAAI Transactions on Intelligence Technology. 8(4). 1425–1443. 7 indexed citations

Sadatdiynov, Kuanishbay, Laizhong Cui, Lei Zhang, et al.. (2022). A review of optimization methods for computation offloading in edge computing networks. Digital Communications and Networks. 9(2). 450–461. 100 indexed citations

He, Yulin, Xu Li, Philippe Fournier‐Viger, et al.. (2022). Observation points classifier ensemble for high‐dimensional imbalanced classification. CAAI Transactions on Intelligence Technology. 8(2). 500–517. 3 indexed citations

Salloum, Salman & Joshua Zhexue Huang. (2021). RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters. 412–417. 2 indexed citations

Mahmud, Mohammad Sultan, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, & Kuanishbay Sadatdiynov. (2020). A survey of data partitioning and sampling methods to support big data analysis. Big Data Mining and Analytics. 3(2). 85–101. 174 indexed citations

Salloum, Salman, Joshua Zhexue Huang, & Yulin He. (2019). Exploring and cleaning big data with random sample data blocks. Journal Of Big Data. 6(1). 15 indexed citations

Salloum, Salman, Joshua Zhexue Huang, & Yulin He. (2019). Random Sample Partition: A Distributed Data Model for Big Data Analysis. IEEE Transactions on Industrial Informatics. 15(11). 5846–5854. 77 indexed citations

Salloum, Salman, et al.. (2019). A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. 2481–2484. 4 indexed citations

Salloum, Salman, Joshua Zhexue Huang, Yulin He, & Xiaojun Chen. (2018). An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access. 7. 3675–3693. 16 indexed citations

10.

Salloum, Salman, et al.. (2016). Big data analytics on Apache Spark. International Journal of Data Science and Analytics. 1(3-4). 145–164. 261 indexed citations breakdown →

11.

Salloum, Salman, et al.. (2016). Ensemble subspace clustering of text data using two-level features. International Journal of Machine Learning and Cybernetics. 8(6). 1751–1766. 5 indexed citations

12.

Trinh, Thanh, Dingming Wu, Salman Salloum, Tung Nguyen, & Joshua Zhexue Huang. (2016). A frequency-based gene selection method with random forests for gene data analysis. 193–198. 2 indexed citations

13.

Salloum, Salman, Joshua Zhexue Huang, & Yulin He. (2016). Empirical analysis of asymptotic ensemble learning for big data. 8–17. 6 indexed citations

14.

Salloum, Salman, et al.. (2008). An Inference Network Model for Retrieving Reusable Learning Objects. 1–5. 4 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