Rasim M. Аlguliev
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Ramiz M. AliguliyevNijat R. IsazadeShahram JamaliFargana J. AbdullayevaAsad AbdiNorisma IdrisYadigar İmamverdiyevLyudmila Sukhostat
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (15 papers)Advanced Text Analysis Techniques (11 papers)
- Partner nations
- AzerbaijanIranMalaysia
In The Last Decade
Rasim M. Аlguliev
47 papers receiving 712 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 623
- Information Systems 170
- Computer Networks and Communications 139
- Electrical and Electronic Engineering 72
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Rasim M. Аlguliev
This map shows the geographic impact of Rasim M. Аlguliev'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 Rasim M. Аlguliev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasim M. Аlguliev more than expected).
Fields of papers citing papers by Rasim M. Аlguliev
This network shows the impact of papers produced by Rasim M. Аlguliev. 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 Rasim M. Аlguliev. The network helps show where Rasim M. Аlguliev may publish in the future.
Co-authorship network of co-authors of Rasim M. Аlguliev
This figure shows the co-authorship network connecting the top 25 collaborators of Rasim M. Аlguliev. A scholar is included among the top collaborators of Rasim M. Аlguliev 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 Rasim M. Аlguliev. Rasim M. Аlguliev 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 | 2 | |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 94 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 64 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 1 |
About Rasim M. Аlguliev
Rasim M. Аlguliev is a scholar working on Computer Networks and Communications, Management Information Systems and Artificial Intelligence, having authored 50 papers that have together received 801 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (623 citations), Information Systems (170 citations) and Computer Networks and Communications (139 citations). Rasim M. Аlguliev has collaborated with scholars based in Azerbaijan, Iran and Malaysia. Frequent co-authors include Ramiz M. Aliguliyev, Nijat R. Isazade, Shahram Jamali, Fargana J. Abdullayeva, Asad Abdi, Norisma Idris, Yadigar İmamverdiyev and Lyudmila Sukhostat. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems and Computers & Industrial Engineering.
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.