Bülent Haznedar
- Environmental Engineering top 10%
- Water Science and Technology top 10%
- Artificial Intelligence
- Global and Planetary Change
- Electrical and Electronic Engineering
- Co-authors
- Adem KalınlıHüseyin Çağan KılınçYusuf ArayıcıAdem YurtseverOkan Mert KatipoğluAhmet ÖztürkNuman BaydilliSeyfettin Ilgan
- Topics
- Hydrological Forecasting Using AI (6 papers)Neural Networks and Applications (6 papers)Gene expression and cancer classification (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
- Partner nations
- TürkiyeNorth KoreaUnited Kingdom
In The Last Decade
Bülent Haznedar
27 papers receiving 328 citations
Peers
Comparison fields: 5 of 88
- Environmental Engineering 129
- Water Science and Technology 96
- Artificial Intelligence 90
- Global and Planetary Change 65
- Electrical and Electronic Engineering 56
Countries citing papers authored by Bülent Haznedar
This map shows the geographic impact of Bülent Haznedar'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 Bülent Haznedar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bülent Haznedar more than expected).
Fields of papers citing papers by Bülent Haznedar
This network shows the impact of papers produced by Bülent Haznedar. 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 Bülent Haznedar. The network helps show where Bülent Haznedar may publish in the future.
Co-authorship network of co-authors of Bülent Haznedar
This figure shows the co-authorship network connecting the top 25 collaborators of Bülent Haznedar. A scholar is included among the top collaborators of Bülent Haznedar 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 Bülent Haznedar. Bülent Haznedar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 38 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 80 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 26 |
About Bülent Haznedar
Bülent Haznedar is a scholar working on Environmental Engineering, Energy Engineering and Power Technology and Conservation, having authored 27 papers that have together received 340 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Neural Networks and Applications (6 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Environmental Engineering (129 citations), Space and Planetary Science (9 citations) and Water Science and Technology (96 citations). Bülent Haznedar has collaborated with scholars based in Türkiye, North Korea and United Kingdom. Frequent co-authors include Adem Kalınlı, Hüseyin Çağan Kılınç, Yusuf Arayıcı, Adem Yurtsever, Okan Mert Katipoğlu, Ahmet Öztürk, Numan Baydilli, Seyfettin Ilgan, Osman Eroğul and Derya Arslan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.