H. Vafaie

1.5k total citations
20 papers, 628 citations indexed

About

H. Vafaie is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, H. Vafaie has authored 20 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in H. Vafaie's work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (8 papers) and Neural Networks and Applications (3 papers). H. Vafaie is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (8 papers) and Neural Networks and Applications (3 papers). H. Vafaie collaborates with scholars based in United States and Germany. H. Vafaie's co-authors include K. De Jong, Harry Wechsler, Kenneth DeJong, Jeffrey Huang, Harry Wechsler, Kenneth De Jong, N. Bourbakis, Babak Hamidzadeh, Jerzy Bala and Janusz Wnek and has published in prestigious journals such as Evolutionary Computation, IEEE Intelligent Systems and their Applications and Innovative Applications of Artificial Intelligence.

In The Last Decade

H. Vafaie

18 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Vafaie United States 9 410 164 111 58 58 20 628
K. De Jong United States 11 367 0.9× 115 0.7× 62 0.6× 45 0.8× 104 1.8× 21 576
Takao Mohri Japan 3 379 0.9× 169 1.0× 116 1.0× 37 0.6× 56 1.0× 4 571
Albert Orriols-Puig Spain 15 688 1.7× 126 0.8× 85 0.8× 101 1.7× 75 1.3× 33 874
Artur Ferreira Portugal 8 281 0.7× 169 1.0× 70 0.6× 97 1.7× 37 0.6× 31 607
Saúl Solorio-Fernández Mexico 7 366 0.9× 214 1.3× 69 0.6× 82 1.4× 72 1.2× 8 662
Xuewen Chen United States 8 357 0.9× 99 0.6× 65 0.6× 71 1.2× 37 0.6× 19 507
Ritam Guha India 12 404 1.0× 164 1.0× 67 0.6× 47 0.8× 87 1.5× 24 594
Eghbal G. Mansoori Iran 12 356 0.9× 120 0.7× 74 0.7× 106 1.8× 104 1.8× 50 571
Krista Rizman Žalik Slovenia 12 342 0.8× 151 0.9× 89 0.8× 68 1.2× 35 0.6× 28 665
Ibrahim El-Henawy Egypt 11 394 1.0× 107 0.7× 70 0.6× 44 0.8× 80 1.4× 24 631

Countries citing papers authored by H. Vafaie

Since Specialization
Citations

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

Fields of papers citing papers by H. Vafaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Vafaie

This figure shows the co-authorship network connecting the top 25 collaborators of H. Vafaie. A scholar is included among the top collaborators of H. Vafaie 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 H. Vafaie. H. Vafaie 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.
Vafaie, H.. (2009). Feature Selection Methods: Genetic Algorithms vs. Greedy-like Search. 89 indexed citations
2.
Vafaie, H. & Babak Hamidzadeh. (2008). Understanding Structure and Mapping Content to Semantic Models. 282–288. 1 indexed citations
3.
Vafaie, H., et al.. (2006). Methodology for the Selection of Intelligence Analysis Tools. 55–62. 4 indexed citations
4.
Vafaie, H., et al.. (2005). CORMS AI: decision support system for monitoring US maritime environment. Innovative Applications of Artificial Intelligence. 1499–1506. 2 indexed citations
5.
6.
Vafaie, H., N. Bourbakis, & D. Tabak. (2003). Application of Petri-nets in the HERMES data flow machine: an overview. 1. 420–423.
7.
Vafaie, H. & N. Bourbakis. (2003). A tree grammar scheme for generation and recognition of simple texture paths in pictures. 201–206. 2 indexed citations
8.
Vafaie, H., et al.. (2003). Selection process of intelligent decision support tool for real-time monitoring system. 35. 173–180. 1 indexed citations
9.
Vafaie, H. & K. De Jong. (2003). Genetic algorithms as a tool for feature selection in machine learning. 200–203. 141 indexed citations
10.
Vafaie, H., et al.. (2002). Combining models across algorithms and samples for improved results. 8. 344–351. 2 indexed citations
11.
Vafaie, H. & K. De Jong. (2002). Genetic algorithms as a tool for restructuring feature space representations. 8–11. 33 indexed citations
12.
Vafaie, H. & K. De Jong. (2002). Robust feature selection algorithms. 356–363. 82 indexed citations
13.
Vafaie, H. & Kenneth De Jong. (2001). Improving the Performance of a Rule Induction System Using Genetic Algorithms. 14 indexed citations
14.
Vafaie, H.. (1998). Using genetic algorithms for restructuring feature-based representation space. 1 indexed citations
15.
Vafaie, H. & K. De Jong. (1998). Feature space transformation using genetic algorithms. IEEE Intelligent Systems and their Applications. 13(2). 57–65. 53 indexed citations
16.
DeJong, Kenneth, et al.. (1996). Visual routine for eye detection using hybrid genetic architectures. 606–610 vol.3. 23 indexed citations
17.
Jong, K. De, et al.. (1996). Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts. Evolutionary Computation. 4(3). 297–311. 83 indexed citations
18.
Huang, Jeffrey, et al.. (1995). Hybrid learning using genetic algorithms and decision trees for pattern classification. 719–724. 88 indexed citations
19.
Vafaie, H.. (1994). Improving a Rule Induction System Using Genetic Algorithms. Medical Entomology and Zoology. 453–470. 8 indexed citations
20.
Bala, Jerzy, Eric Bloedorn, Kenneth De Jong, et al.. (1992). A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems. George Mason University. 1 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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