Salem A. Alyami

3.2k citations
92 papers · 1.9k indexed · 2 hit papers · h-index 23
Topics
Statistical Distribution Estimation and Applications (26 papers)Probabilistic and Robust Engineering Design (15 papers)Hydrology and Drought Analysis (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Salem A. Alyami

83 papers receiving 1.9k citations

Hit Papers

Deep CNN-LSTM With Self-Attention Model for Human Activit...2022202620232024202220244080120

Peers

Salem A. Alyami
Comparison fields: 5 of 160
  • Artificial Intelligence 428
  • Statistics and Probability 286
  • Cognitive Neuroscience 276
  • Computer Vision and Pattern Recognition 255
  • Infectious Diseases 226
Replace Shang‐Ming Zhou with:
Shang‐Ming Zhou United Kingdom
Eric B. Laber United States
Pedro J. García-Laencina Spain
Miloš Hauskrecht United States
Tingting Zhu China
Ahmet Arslan Türkiye
Xiaohong Gao China
Yanhui Guo United States
Themis P. Exarchos Greece
Sijia Liu United States
Salem A. Alyami relative to Shang‐Ming Zhou United Kingdom Shang‐Ming Zhou's profile →
Citations per field
00.5×10.3×
Shang‐Ming Zhou · 1×
Citations per year

Countries citing papers authored by Salem A. Alyami

Since Specialization
Citations

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

Fields of papers citing papers by Salem A. Alyami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salem A. Alyami. 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 Salem A. Alyami. The network helps show where Salem A. Alyami may publish in the future.

Co-authorship network of co-authors of Salem A. Alyami

This figure shows the co-authorship network connecting the top 25 collaborators of Salem A. Alyami. A scholar is included among the top collaborators of Salem A. Alyami 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 Salem A. Alyami. Salem A. Alyami 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
#WorkIndexed citations
1 16
2 3
3 0
4 15
5 18
6 6
7 3
8 22
9 24
10 4
11 9
12 32
13 22
14 13
15 37
16 13
17 8
18 71
19 12
20 63

About Salem A. Alyami

Salem A. Alyami is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (26 papers), Probabilistic and Robust Engineering Design (15 papers) and Hydrology and Drought Analysis (8 papers). The work is most often cited by research in Statistics and Probability (286 citations), Health Information Management (117 citations) and Health Informatics (33 citations). Salem A. Alyami has collaborated with scholars based in Saudi Arabia, Bangladesh and Australia. Frequent co-authors include Mohammad Ali Moni, AKM Azad, Naif Alotaibi, Md. Rashed-Al-Mahfuz, Shahadat Uddin, Ibrahim Elbatal, Mohammed Elgarhy, Mohammad Abu Yousuf, Ehab M. Almetwally and Khondokar Fida Hasan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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