Emin Germen

20 papers receiving 299 citations

Peers

Emin Germen
Comparison fields: 5 of 61
  • Environmental Engineering 116
  • Water Science and Technology 92
  • Waste Management and Disposal 51
  • Control and Systems Engineering 115
  • Oceanography 25
Replace Vesna Ranković with:
Vesna Ranković Serbia
Dražen Slišković Croatia
Iván Machón-González Spain
Hilario López-García Spain
Haijiang Tai China
Hualing Yi China
Jin Gao China
Jasna Radulović Serbia
Mathieu Lepot Netherlands
Emin Germen relative to Vesna Ranković Serbia Vesna Ranković's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emin Germen

Since Specialization
Citations

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

Fields of papers citing papers by Emin Germen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Emin Germen, 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 Emin Germen Line = papers co-authored together Emin Germen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000168
2 201471
3 201316
4 200712
5 201412
6 20058
7 20078
8
A new approach to mathematical water quality modeling in reservoirs: Neural networks
19987
9 20115
10 20043
11 20053
12 20183
13 20122
14
Fault Classification in Hermetic Compressors Using Self-Organizing Map
20082
15
A Statistical Approach to Determine the Neighborhood Function and Learning Rate in Self-Organizing Maps.
19982
16 20092
17 20182
18
Effects of Sound Radiation Direction In Faulty Hermetic Compressors
20101
19
StatSOM: Statistical Self-Organizing Map.
19981
20 20071

About Emin Germen

Emin Germen is a scholar working on Control and Systems Engineering, Artificial Intelligence, Signal Processing, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Machine Fault Diagnosis Techniques (7 papers), Structural Health Monitoring Techniques (4 papers), Power Transformer Diagnostics and Insulation (2 papers), Hydrological Forecasting Using AI (2 papers), Advanced Optical Network Technologies (2 papers), Non-Destructive Testing Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Environmental Engineering (116 citations), Water Science and Technology (92 citations), Waste Management and Disposal (51 citations), Control and Systems Engineering (115 citations) and Oceanography (25 citations). Emin Germen has collaborated with scholars based in Türkiye. Frequent co-authors include Selçuk Soyupak, Murat Başaran, Huseyin Gokhan Akcay, Tevfik Kizilören, D.G. Ece, Ömer Nezih Gerek, Semih Bilgen and Semiha Türkay. Their work appears in journals such as Natural Computing, Mechanical Systems and Signal Processing, IEEE Transactions on Energy Conversion, Ecological Modelling and Lecture notes in computer science.

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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