Vitaly Ford
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Civil and Structural Engineering
- Building and Construction
- Co-authors
- Ambareen SirajWilliam EberleZhelun ChenYadong ZhangMohammad Ashiqur RahmanJianli ChenLiang ZhangMiao Pan
- Topics
- Electricity Theft Detection Techniques (3 papers)Building Energy and Comfort Optimization (2 papers)BIM and Construction Integration (2 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringBuilding and Construction
- Partner nations
- United StatesRussiaIreland
In The Last Decade
Vitaly Ford
18 papers receiving 278 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 183
- Control and Systems Engineering 89
- Artificial Intelligence 85
- Civil and Structural Engineering 48
- Building and Construction 39
Countries citing papers authored by Vitaly Ford
This map shows the geographic impact of Vitaly Ford'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 Vitaly Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitaly Ford more than expected).
Fields of papers citing papers by Vitaly Ford
This network shows the impact of papers produced by Vitaly Ford. 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 Vitaly Ford. The network helps show where Vitaly Ford may publish in the future.
Co-authorship network of co-authors of Vitaly Ford
This figure shows the co-authorship network connecting the top 25 collaborators of Vitaly Ford. A scholar is included among the top collaborators of Vitaly Ford 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 Vitaly Ford. Vitaly Ford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Application of data-driven measures for impeding COVID-19 spread at an academic institution | 1 |
| 6 | 3 | |
| 7 | 0 | |
| 8 | Analysis and methodology of inhibiting COVID-19 spread on a university campus | 1 |
| 9 | 3 | |
| 10 | 0 | |
| 11 | Modeling the target architecture of an entrepreneurial network as a complex system of interaction | 4 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 21 | |
| 17 | 14 | |
| 18 | 58 | |
| 19 | 102 | |
| 20 | 16 |
About Vitaly Ford
Vitaly Ford is a scholar working on Modeling and Simulation, General Economics, Econometrics and Finance and Information Systems, having authored 20 papers that have together received 288 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (3 papers), Building Energy and Comfort Optimization (2 papers) and BIM and Construction Integration (2 papers). The work is most often cited by research in Control and Systems Engineering (89 citations), Electrical and Electronic Engineering (183 citations) and Building and Construction (39 citations). Vitaly Ford has collaborated with scholars based in United States, Russia and Ireland. Frequent co-authors include Ambareen Siraj, William Eberle, Zhelun Chen, Yadong Zhang, Mohammad Ashiqur Rahman, Jianli Chen, Liang Zhang, Miao Pan, Khaled Rabieh and Zhu Han. Their work appears in journals such as Energy and Buildings, Journal of Computer and System Sciences and IFAC-PapersOnLine.
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.