Oleg V. Pavlov
- Health Informatics top 10%
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- Complex Systems and Decision Making 15
- Innovation Diffusion and Forecasting 4
- Computer Science Applications top 10%
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- Innovation and Knowledge Management 4
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- Economic theories and models 4
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- Spam and Phishing Detection 4
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- Terrorism, Counterterrorism, and Political Violence 4
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- Management and Organizational Studies 4
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- Complex Network Analysis Techniques 4
- Co-authors
- Evangelos KatsamakasKhalid SaeedNigel P. MelvilleMichael J. RadzickiLawrence W. RobinsonE. A. ZhukovMichael ElmesVladimir Poborchii
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
Oleg V. Pavlov
42 papers receiving 303 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 14
- Management Science and Operations Research 63
- Computer Science Applications 24
- Strategy and Management 58
- Marketing 29
Countries citing papers authored by Oleg V. Pavlov
This map shows the geographic impact of Oleg V. Pavlov'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 Oleg V. Pavlov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg V. Pavlov more than expected).
Fields of papers citing papers by Oleg V. Pavlov
This network shows the impact of papers produced by Oleg V. Pavlov. 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 Oleg V. Pavlov. The network helps show where Oleg V. Pavlov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oleg V. Pavlov, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 0 | |
| 11 | 2017 | 0 | |
| 12 | 2016 | 12 | |
| 13 | Why Virtual Job Recruiting Is Not Well Accepted by Generation Y?—A Case Study on Second Life | 2011 | 1 |
| 14 | 2008 | 8 | |
| 15 | 2008 | 0 | |
| 16 | 2007 | 21 | |
| 17 | 2006 | 7 | |
| 18 | 2005 | 3 | |
| 19 | 2005 | 4 | |
| 20 | A RESOURCE-BASED ASSESSMENT OF THE GNUTELLA FILE-SHARING NETWORK | 2003 | 4 |
About Oleg V. Pavlov
Oleg V. Pavlov is a scholar working on Management Science and Operations Research, Development and Health Informatics, having authored 50 papers that have together received 325 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (15 papers), Economic theories and models (4 papers), Spam and Phishing Detection (4 papers), Innovation Diffusion and Forecasting (4 papers), Terrorism, Counterterrorism, and Political Violence (4 papers), Innovation and Knowledge Management (4 papers), Management and Organizational Studies (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Health Informatics (14 citations), Management Science and Operations Research (63 citations) and Computer Science Applications (24 citations). Oleg V. Pavlov has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Evangelos Katsamakas, Khalid Saeed, Nigel P. Melville, Michael J. Radzicki, Lawrence W. Robinson, E. A. Zhukov, Michael Elmes, Vladimir Poborchii, В. С. Днепровский and James R. Doyle. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Communications of the ACM.
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.