Selçuk Soyupak

473 citations
22 papers · 378 indexed · h-index 8
Topics
Neural Networks and Applications (7 papers)Hydrological Forecasting Using AI (6 papers)Water Quality and Pollution Assessment (5 papers)
Partner nations
TürkiyeJordan

In The Last Decade

Selçuk Soyupak

21 papers receiving 341 citations

Peers

Selçuk Soyupak
Comparison fields: 5 of 57
  • Water Science and Technology 214
  • Environmental Engineering 199
  • Industrial and Manufacturing Engineering 82
  • Environmental Chemistry 77
  • Artificial Intelligence 51
Replace Young Woo Kim with:
Young Woo Kim South Korea
Jian Sha China
TaeHo Kim South Korea
Masayoshi Harada Japan
Sanaz Imen United States
Chunxue Shang China
Jung Min Ahn South Korea
Yong Sung Kwon South Korea
Muthukrishnavellaisamy Kumarasamy South Africa
Atilla Akkoyunlu Türkiye
Selçuk Soyupak relative to Young Woo Kim South Korea Young Woo Kim's profile →
Citations per field
00.5×4.8×
Young Woo Kim · 1×
Citations per year

Countries citing papers authored by Selçuk Soyupak

Since Specialization
Citations

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

Fields of papers citing papers by Selçuk Soyupak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selçuk Soyupak

This figure shows the co-authorship network connecting the top 25 collaborators of Selçuk Soyupak. A scholar is included among the top collaborators of Selçuk Soyupak 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 Selçuk Soyupak. Selçuk Soyupak 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 4
2 7
3 1
4 4
5 5
6 28
7 12
8 3
9 23
10 50
11 42
12
Nutrient Transport in the Lower Seyhan Catchment Area
1
13 16
14 3
15 0
16 3
17 3
18 2
19 1
20 2

About Selçuk Soyupak

Selçuk Soyupak is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology and Environmental Engineering, having authored 22 papers that have together received 378 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Hydrological Forecasting Using AI (6 papers) and Water Quality and Pollution Assessment (5 papers). The work is most often cited by research in Water Science and Technology (214 citations), Environmental Engineering (199 citations) and Industrial and Manufacturing Engineering (82 citations). Selçuk Soyupak has collaborated with scholars based in Türkiye and Jordan. Frequent co-authors include Ayşe Muhammetoğlu, Ali Yazıcı, Habib Muhammetoğlu, Ding‐Geng Chen, Sedat V. Yerli, Nevin Selçuk, I. Ethem Karadirek, İlhami Tüzün, Orhan Gündüz and Gökben Başaran Kankılıç. Their work appears in journals such as Ecological Modelling, Hydrobiologia and Water Science & Technology.

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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