Sergey Malinchik
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
Papers in
-
- Integrated Energy Systems Optimization 4
- Smart Grid Energy Management 3
- Electric Power System Optimization 2
-
- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 2
- Co-authors
- Pavel Senin (1 shared paper)Stanislav Sobolevsky (2 shared papers)Alden E. Roberts (1 shared paper)Mohammed M. Olama (3 shared papers)Mallikarjun Shankar (3 shared papers)Sreenivas R. Sukumar (3 shared papers)Mark E. Hoffman (1 shared paper)James Nutaro (2 shared papers)
- Journals
- Procedia Computer Science (1 paper)Proceedings of the ... Annual Hawaii International Conference on System Sciences (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Sergey Malinchik
8 papers receiving 172 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 121
- Artificial Intelligence 97
- Energy Engineering and Power Technology 9
- Transportation 12
- Economics and Econometrics 41
Countries citing papers authored by Sergey Malinchik
This map shows the geographic impact of Sergey Malinchik'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 Sergey Malinchik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Malinchik more than expected).
Fields of papers citing papers by Sergey Malinchik
This network shows the impact of papers produced by Sergey Malinchik. 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 Sergey Malinchik. The network helps show where Sergey Malinchik may publish in the future.
Co-authors
The 12 scholars most cited alongside Sergey Malinchik, 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 | 2013 | 138 | |
| 2 | 2017 | 16 | |
| 3 | 2010 | 10 | |
| 4 | 2010 | 6 | |
| 5 | 2018 | 5 | |
| 6 | 2010 | 3 | |
| 7 | 2010 | 2 | |
| 8 | Detection of Persuasion Campaigns on Twitter™ by SAX-VSM Technology | 2014 | 1 |
| 9 | 2010 | 1 | |
| 10 | 2011 | 0 |
About Sergey Malinchik
Sergey Malinchik is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Sociology and Political Science, Artificial Intelligence and Transportation, having authored 10 papers that have together received 182 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (4 papers), Complex Network Analysis Techniques (3 papers), Smart Grid Energy Management (3 papers), Advanced Text Analysis Techniques (2 papers), Electric Power System Optimization (2 papers), Opinion Dynamics and Social Influence (2 papers), Spam and Phishing Detection (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (121 citations), Artificial Intelligence (97 citations), Energy Engineering and Power Technology (9 citations), Transportation (12 citations) and Economics and Econometrics (41 citations). Sergey Malinchik has collaborated with scholars based in United States and Russia. Frequent co-authors include Pavel Senin, Stanislav Sobolevsky, Alden E. Roberts, Mohammed M. Olama, Mallikarjun Shankar, Sreenivas R. Sukumar, Mark E. Hoffman, James Nutaro, Constantine E. Kontokosta and Stanton W. Hadley. Their work appears in journals such as Procedia Computer Science and Proceedings of the ... Annual Hawaii International Conference on System Sciences.
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.