Evdokia Sotirova
Impact in
- Analytical Chemistry top 5%
- Petroleum Processing and Analysis
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- Multi-Criteria Decision Making
Papers in
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- Intuitionistic Fuzzy Systems Applications 36
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- Petroleum Processing and Analysis 19
- Co-authors
- Sotir Sotirov (44 shared papers)Krassimir Atanassov (50 shared papers)Vassia Atanassova (20 shared papers)Dicho Stratiev (25 shared papers)Ivelina Shishkova (23 shared papers)Svetoslav Nenov (20 shared papers)Dobromir Yordanov (16 shared papers)Rosen Dinkov (19 shared papers)
In The Last Decade
Evdokia Sotirova
66 papers receiving 360 citations
Peers
Comparison fields: 5 of 70
- Analytical Chemistry 128
- Management Science and Operations Research 48
- Ocean Engineering 54
- Artificial Intelligence 110
- Management Information Systems 25
Countries citing papers authored by Evdokia Sotirova
This map shows the geographic impact of Evdokia Sotirova'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 Evdokia Sotirova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evdokia Sotirova more than expected).
Fields of papers citing papers by Evdokia Sotirova
This network shows the impact of papers produced by Evdokia Sotirova. 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 Evdokia Sotirova. The network helps show where Evdokia Sotirova may publish in the future.
Co-authors
The 25 scholars most cited alongside Evdokia Sotirova, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 36 | |
| 2 | 2022 | 24 | |
| 3 | 2018 | 23 | |
| 4 | 2015 | 20 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | Generalized Net of the Process of Hierarchical Cluster Analysis | 2017 | 7 |
| 17 | 2015 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Evdokia Sotirova
Evdokia Sotirova is a scholar working on Artificial Intelligence, Analytical Chemistry, Biomedical Engineering, Management Information Systems and Control and Systems Engineering, having authored 76 papers that have together received 369 indexed citations. Recurring topics across this work include Intuitionistic Fuzzy Systems Applications (36 papers), Petroleum Processing and Analysis (19 papers), Information Systems and Technology Applications (14 papers), Phase Equilibria and Thermodynamics (10 papers), Hydrocarbon exploration and reservoir analysis (9 papers), Multi-Criteria Decision Making (7 papers), Catalysis and Hydrodesulfurization Studies (6 papers) and Advanced Data Processing Techniques (6 papers). The work is most often cited by research in Analytical Chemistry (128 citations), Management Science and Operations Research (48 citations), Ocean Engineering (54 citations), Artificial Intelligence (110 citations) and Management Information Systems (25 citations). Evdokia Sotirova has collaborated with scholars based in Bulgaria, Poland and Australia. Frequent co-authors include Sotir Sotirov, Krassimir Atanassov, Vassia Atanassova, Dicho Stratiev, Ivelina Shishkova, Svetoslav Nenov, Dobromir Yordanov, Rosen Dinkov, Simeon Ribagin and Ivanka Stamova. Their work appears in journals such as Electronics, Industrial & Engineering Chemistry Research, IEEE Access, Fuel and ACS Omega.
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.