Halil Bişğin
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Communication top 10%
- Social Media and Politics
Papers in
-
- Social Media and Politics 6
-
- Advanced Malware Detection Techniques 7
- Co-authors
- Weida Tong (10 shared papers)Hong Fang (5 shared papers)Nitin Agarwal (5 shared papers)Xiaowei Xu (4 shared papers)Zhichao Liu (2 shared papers)Reagan J. Kelly (3 shared papers)Minjun Chen (2 shared papers)Stewart Francis Graham (4 shared papers)
- Journals
- BMC Bioinformatics (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Genome biology (2 papers)Biomarkers in Medicine (1 paper)
- Partner nations
- United StatesTürkiyeBosnia and Herzegovina
In The Last Decade
Halil Bişğin
44 papers receiving 863 citations
Peers
Comparison fields: 5 of 144
- Pharmacology 90
- Communication 61
- Computational Theory and Mathematics 120
- Toxicology 19
- Statistical and Nonlinear Physics 66
Countries citing papers authored by Halil Bişğin
This map shows the geographic impact of Halil Bişğin'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 Halil Bişğin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Halil Bişğin more than expected).
Fields of papers citing papers by Halil Bişğin
This network shows the impact of papers produced by Halil Bişğin. 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 Halil Bişğin. The network helps show where Halil Bişğin may publish in the future.
Co-authors
The 25 scholars most cited alongside Halil Bişğin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2014 | 111 | |
| 3 | 2011 | 90 | |
| 4 | 2011 | 63 | |
| 5 | 2010 | 63 | |
| 6 | 2012 | 60 | |
| 7 | 2019 | 54 | |
| 8 | 2020 | 52 | |
| 9 | 2014 | 36 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2023 | 10 | |
| 18 | 2013 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2017 | 7 |
About Halil Bişğin
Halil Bişğin is a scholar working on Communication, Signal Processing, Statistical and Nonlinear Physics, Computer Networks and Communications and Physical Therapy, Sports Therapy and Rehabilitation, having authored 46 papers that have together received 889 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Social Media and Politics (6 papers), Network Security and Intrusion Detection (6 papers), Opinion Dynamics and Social Influence (5 papers), Complex Network Analysis Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Cancer Genomics and Diagnostics (2 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Pharmacology (90 citations), Communication (61 citations), Computational Theory and Mathematics (120 citations), Toxicology (19 citations) and Statistical and Nonlinear Physics (66 citations). Halil Bişğin has collaborated with scholars based in United States, Türkiye and Bosnia and Herzegovina. Frequent co-authors include Weida Tong, Hong Fang, Nitin Agarwal, Xiaowei Xu, Xiaowei Xu, Zhichao Liu, Reagan J. Kelly, Minjun Chen, Stewart Francis Graham and Jürgen T. Borlak. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Scientific Reports, Genome biology and Biomarkers in Medicine.
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.