Mike Mikailov
-
- Computational Drug Discovery Methods 2
-
- Genomics and Phylogenetic Studies 3
- Metabolomics and Mass Spectrometry Studies 1
-
- Algorithms and Data Compression 3
-
- Scientific Computing and Data Management 2
-
- Statistical Methods and Bayesian Inference 1
-
- Muscle and Compartmental Disorders 1
-
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Subhiksha NandakumarAisha AlJanahiArifa S. KhanNorman GoodacreLeming ShiLin HeZhu HuangKun Wang
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Mike Mikailov
12 papers receiving 360 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 119
- Pharmacology 41
- Toxicology 10
- Molecular Biology 182
- Endocrinology 13
Countries citing papers authored by Mike Mikailov
This map shows the geographic impact of Mike Mikailov'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 Mike Mikailov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Mikailov more than expected).
Fields of papers citing papers by Mike Mikailov
This network shows the impact of papers produced by Mike Mikailov. 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 Mike Mikailov. The network helps show where Mike Mikailov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mike Mikailov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 4 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 129 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 4 | |
| 12 | 2012 | 0 | |
| 13 | 2011 | 168 |
About Mike Mikailov
Mike Mikailov is a scholar working on Information Systems and Management, Health Information Management and Computational Theory and Mathematics, having authored 13 papers that have together received 364 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Algorithms and Data Compression (3 papers), Computational Drug Discovery Methods (2 papers), Scientific Computing and Data Management (2 papers), Statistical Methods and Bayesian Inference (1 paper), Muscle and Compartmental Disorders (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Computational Theory and Mathematics (119 citations), Pharmacology (41 citations) and Toxicology (10 citations). Mike Mikailov has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Subhiksha Nandakumar, Aisha AlJanahi, Arifa S. Khan, Norman Goodacre, Leming Shi, Lin He, Zhu Huang, Kun Wang, Lun Yang and Jian Chen.
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.