Emrah Hançer

2.5k citations
54 papers · 2.0k · 1 hit paper · h-index 20

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Advanced Clustering Algorithms Research
    • Machine Learning and Data Classification
    • Text and Document Classification Technologies
    • Face and Expression Recognition

Papers in

Emrah Hançer

52 papers receiving 1.9k citations

Emrah Hançer's Hit Papers

Differential evolution for filter feature selection based on information theory and feature ranking 2017 · 325 citations
3250+3+6Years since publication100200300

Peers

Emrah Hançer
Comparison fields: 5 of 122
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 569
  • Computational Theory and Mathematics 416
  • Industrial and Manufacturing Engineering 114
  • Media Technology 87
Replace Gehad Ismail Sayed with:
Gehad Ismail Sayed Egypt
Aaron Klein Germany
Ran Wang China
Mohammad Tubishat Jordan
Manosij Ghosh India
Eva Tuba Serbia
Fei Han China
Nicolás García‐Pedrajas Spain
Claudia I. González Mexico
Emrah Hançer relative to Gehad Ismail Sayed Egypt Gehad Ismail Sayed's profile →
Citations per field
00.5×2×4×5.5×
Gehad Ismail Sayed · 1×
Citations per year

Countries citing papers authored by Emrah Hançer

Since Specialization
Citations

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

Fields of papers citing papers by Emrah Hançer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Emrah Hançer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emrah Hançer Line = papers co-authored together Emrah Hançer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Differential evolution for filter feature selection based on information theory and feature ranking
Hit paper breakdown →
2017325
2 2017272
3 2015151
4 2020150
5 2014147
6 2014135
7 2016100
8 201872
9 201966
10 201563
11 201454
12 201247
13 201447
14 201333
15 202232
16 201230
17 201929
18 202322
19 202022
20 202120

About Emrah Hançer

Emrah Hançer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (22 papers), AI in cancer detection (12 papers), Evolutionary Algorithms and Applications (9 papers), Digital Imaging for Blood Diseases (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Advanced Clustering Algorithms Research (7 papers), Medical Imaging and Analysis (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (569 citations), Computational Theory and Mathematics (416 citations), Industrial and Manufacturing Engineering (114 citations) and Media Technology (87 citations). Emrah Hançer has collaborated with scholars based in Türkiye, New Zealand and Finland. Frequent co-authors include Derviş Karaboğa, Bing Xue, Mengjie Zhang, Celal Öztürk, Bahriye Akay, Refik Samet, Abdülhamit Subaşı and Serpil Dizbay Sak. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Evolutionary Computation, Biomedical Signal Processing and Control, Applied Soft Computing and Soft Computing.

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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