Habil Kalkan
- Analytical Chemistry top 5%
- Plant Science
- Biomedical Engineering
- Food Science
- Computer Vision and Pattern Recognition
- Co-authors
- Yasemin YardımcıTom PearsonBayram ÇetişliKadim Taşdemi̇rMarius NapMarco LoogRobert P. W. DuinNuri F. Ince
- Topics
- Spectroscopy and Chemometric Analyses (18 papers)Advanced Chemical Sensor Technologies (8 papers)Smart Agriculture and AI (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Science of Food and AgricultureComputers and Electronics in Agriculture
- Partner nations
- TürkiyeKazakhstanUnited States
In The Last Decade
Habil Kalkan
35 papers receiving 298 citations
Peers
Comparison fields: 5 of 87
- Analytical Chemistry 119
- Plant Science 87
- Biomedical Engineering 67
- Food Science 55
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Habil Kalkan
This map shows the geographic impact of Habil Kalkan'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 Habil Kalkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Habil Kalkan more than expected).
Fields of papers citing papers by Habil Kalkan
This network shows the impact of papers produced by Habil Kalkan. 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 Habil Kalkan. The network helps show where Habil Kalkan may publish in the future.
Co-authorship network of co-authors of Habil Kalkan
This figure shows the co-authorship network connecting the top 25 collaborators of Habil Kalkan. A scholar is included among the top collaborators of Habil Kalkan 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 Habil Kalkan. Habil Kalkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | Automated Classification of Local Patches in Colon Histopathology ∗ | 14 |
| 8 | 56 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 53 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Habil Kalkan
Habil Kalkan is a scholar working on Analytical Chemistry, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 36 papers that have together received 317 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (18 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (6 papers). The work is most often cited by research in Analytical Chemistry (119 citations), Biotechnology (32 citations) and Biophysics (21 citations). Habil Kalkan has collaborated with scholars based in Türkiye, Kazakhstan and United States. Frequent co-authors include Yasemin Yardımcı, Tom Pearson, Bayram Çetişli, Kadim Taşdemi̇r, Marius Nap, Marco Loog, Robert P. W. Duin, Nuri F. Ince, Ahmed H. Tewfik and Erkan Karacabey. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Science of Food and Agriculture and Computers and Electronics in Agriculture.
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.