Hussein Almuallim

1.6k total citations
19 papers, 1.1k citations indexed

About

Hussein Almuallim is a scholar working on Artificial Intelligence, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Hussein Almuallim has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Ocean Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Hussein Almuallim's work include Reservoir Engineering and Simulation Methods (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Machine Learning and Data Classification (5 papers). Hussein Almuallim is often cited by papers focused on Reservoir Engineering and Simulation Methods (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Machine Learning and Data Classification (5 papers). Hussein Almuallim collaborates with scholars based in Saudi Arabia, Japan and Germany. Hussein Almuallim's co-authors include Thomas G. Dietterich, Shoichiro Yamaguchi, Shigeo Kaneda, Leonhard Ganzer, Kelly Edwards, Megumi Ishii, Ralf Schulze-Riegert, Hiroshi Uematsu and Akihiko Yokoo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Systems and Computers in Japan.

In The Last Decade

Hussein Almuallim

16 papers receiving 895 citations

Peers

Hussein Almuallim
Comparison fields: 5 of 95
  • Artificial Intelligence 687
  • Computer Vision and Pattern Recognition 402
  • Information Systems 254
  • Computational Theory and Mathematics 162
  • Molecular Biology 96
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Dejan Gjorgjevikj North Macedonia
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Citations per field, relative to Hussein Almuallim
Hussein Almuallim · 1×
Citations per year, relative to Hussein Almuallim
Hussein Almuallim · 1×

Countries citing papers authored by Hussein Almuallim

Since Specialization
Citations

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

Fields of papers citing papers by Hussein Almuallim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hussein Almuallim

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3
An Evaluation of Grid-block-based Optimization Methods Applied to History Matching Workflows
0
4 1
5 6
6 1
7 6
8 0
9 10
10 34
11
An efficient algorithm for finding optimal gain-ratio multiple-split tests on hierarchical attributes in decision tree learning
4
12 2
13 1
14
Induction of Japanese-English Translation Rules from Ambiguous Examples and a Large Semantic Hierarchy
1
15 10
16 363
17
Efficient Algorithms for Identifying Relevant Features
65
18 403
19 149

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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