B.G. Guirimov
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 5%
- Management Information Systems top 5%
- Strategy and Management top 10%
- Co-authors
- Rafik Aziz AlievBijan FazlollahiRashad Rafik AlievWitold PedryczO. H. HuseynovÜmit İlhanAkif AlizadehKaan Uyar
- Topics
- Multi-Criteria Decision Making (6 papers)Fuzzy Logic and Control Systems (6 papers)Neural Networks and Applications (4 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsStatistics and Probability
- Partner nations
- AzerbaijanCyprusUnited States
In The Last Decade
B.G. Guirimov
16 papers receiving 542 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 238
- Management Science and Operations Research 182
- Control and Systems Engineering 158
- Management Information Systems 109
- Strategy and Management 90
Countries citing papers authored by B.G. Guirimov
This map shows the geographic impact of B.G. Guirimov'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 B.G. Guirimov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.G. Guirimov more than expected).
Fields of papers citing papers by B.G. Guirimov
This network shows the impact of papers produced by B.G. Guirimov. 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 B.G. Guirimov. The network helps show where B.G. Guirimov may publish in the future.
Co-authorship network of co-authors of B.G. Guirimov
This figure shows the co-authorship network connecting the top 25 collaborators of B.G. Guirimov. A scholar is included among the top collaborators of B.G. Guirimov 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 B.G. Guirimov. B.G. Guirimov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 18 | |
| 5 | 27 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 118 | |
| 9 | 54 | |
| 10 | 60 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 25 | |
| 15 | 189 | |
| 16 | 1 |
About B.G. Guirimov
B.G. Guirimov is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, having authored 16 papers that have together received 567 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (6 papers), Fuzzy Logic and Control Systems (6 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Management Science and Operations Research (182 citations), Management Information Systems (109 citations) and Statistics and Probability (86 citations). B.G. Guirimov has collaborated with scholars based in Azerbaijan, Cyprus and United States. Frequent co-authors include Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev, Witold Pedrycz, O. H. Huseynov, Ümit İlhan, Akif Alizadeh, Kaan Uyar and Nijat Mehdiyev. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.
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.