Irina Arhipova
- Computer Science Applications top 10%
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- Transportation and Mobility Innovations 4
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- Big Data and Business Intelligence 4
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- Wheat and Barley Genetics and Pathology 4
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- Engineering Education and Curriculum Development 3
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- Transportation Planning and Optimization 3
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- 3D Modeling in Geospatial Applications 2
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- Multi-Criteria Decision Making 2
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- Economic and Business Development Strategies 2
- Co-authors
- L. PauraArmands KviesisZ. GaileDita GudrāAivars BērziņšVadims BartkevičsKristīna TihomirovaUga Dumpis
- Partner nations
- LatviaAustriaUnited States
In The Last Decade
Irina Arhipova
50 papers receiving 294 citations
Peers
Comparison fields: 5 of 97
- Computer Science Applications 41
- Human Factors and Ergonomics 9
- Education 52
- Animal Science and Zoology 16
- Information Systems 35
Countries citing papers authored by Irina Arhipova
This map shows the geographic impact of Irina Arhipova'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 Irina Arhipova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Arhipova more than expected).
Fields of papers citing papers by Irina Arhipova
This network shows the impact of papers produced by Irina Arhipova. 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 Irina Arhipova. The network helps show where Irina Arhipova may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Irina Arhipova, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 0 | |
| 16 | 2015 | 3 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 84 | |
| 19 | 2012 | 9 | |
| 20 | Engineering study programs development possibilities in the agriculture and biology related field. | 2008 | 0 |
About Irina Arhipova
Irina Arhipova is a scholar working on Transportation, Architecture, Media Technology, Management Information Systems and Computer Science Applications, having authored 57 papers that have together received 318 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (4 papers), Big Data and Business Intelligence (4 papers), Wheat and Barley Genetics and Pathology (4 papers), Engineering Education and Curriculum Development (3 papers), Transportation Planning and Optimization (3 papers), 3D Modeling in Geospatial Applications (2 papers), Multi-Criteria Decision Making (2 papers) and Economic and Business Development Strategies (2 papers). The work is most often cited by research in Computer Science Applications (41 citations), Human Factors and Ergonomics (9 citations), Education (52 citations), Animal Science and Zoology (16 citations) and Information Systems (35 citations). Irina Arhipova has collaborated with scholars based in Latvia, Austria and United States. Frequent co-authors include L. Paura, Armands Kviesis, Z. Gaile, Dita Gudrā, Aivars Bērziņš, Vadims Bartkevičs, Kristīna Tihomirova, Uga Dumpis, Dāvids Frīdmanis and Anna Zajakina. Their work appears in journals such as The Science of The Total Environment, BioResources, Agronomy, Applied Sciences and Journal of Global Information Management.
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.