İbrahim Demir

8.5k citations
157 papers · 4.2k indexed · 3 hit papers · h-index 38

Impact in

Papers in

İbrahim Demir

144 papers receiving 4.1k citations

Hit Papers

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education 2024 · 125 citations
1252020202620222024100200300400500

Peers

İbrahim Demir
Comparison fields: 5 of 162
  • Water Science and Technology 1.7k
  • Environmental Engineering 1.3k
  • Global and Planetary Change 1.8k
  • Health Informatics 84
  • Geology 228
Replace Mahesh Pal with:
Mahesh Pal India
Jinsong Huang China
Chaitanya B. Pande India
Weihong Li China
C. J. Willmott United States
Dimitri Solomatine Netherlands
Andrea Castelletti Italy
Jonathan L. Goodall United States
Víctor Rodríguez‐Galiano Spain
Min Chen China
İbrahim Demir relative to Mahesh Pal India Mahesh Pal's profile →
Citations per field
00.5×9.3×
Mahesh Pal · 1×
Citations per year

Countries citing papers authored by İbrahim Demir

Since Specialization
Citations

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

Fields of papers citing papers by İbrahim Demir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside İbrahim Demir, 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 İbrahim Demir Line = papers co-authored together İbrahim Demir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20242
5 20249
6 20241
7 20244
8 20241
9 20244
10 20241
11 20241
12 202325
13 20237
14 202365
15 202316
16 202218
17 202226
18 202162
19 202034
20 201943

About İbrahim Demir

İbrahim Demir is a scholar working on Water Science and Technology, Geology, Global and Planetary Change, Information Systems and Management and Environmental Engineering, having authored 157 papers that have together received 4.2k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (61 papers), Hydrology and Watershed Management Studies (49 papers), Environmental Monitoring and Data Management (23 papers), Hydrological Forecasting Using AI (22 papers), Scientific Computing and Data Management (17 papers), Tropical and Extratropical Cyclones Research (12 papers), Precipitation Measurement and Analysis (9 papers) and Hydrology and Drought Analysis (8 papers). The work is most often cited by research in Water Science and Technology (1.7k citations), Environmental Engineering (1.3k citations), Global and Planetary Change (1.8k citations), Health Informatics (84 citations) and Geology (228 citations). İbrahim Demir has collaborated with scholars based in United States, Türkiye and Saudi Arabia. Frequent co-authors include Yusuf Sermet, Zhongrun Xiang, Muhammed Sit, Jun Yan, Enes Yıldırım, Güleda Önkal Engin, Bekir Zahit Demiray, Witold F. Krajewski, Gregory J. Ewing and Zhouyayan Li. Their work appears in journals such as Environmental Modelling & Software, Journal of Hydroinformatics, The Science of The Total Environment, International Journal of Disaster Risk Reduction and IEEE Access.

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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