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Dmitry Zinoviev
Complex Network Analysis
Computational Social Science
Information Propagation In Digital Communities
Python-based Data Science
About
Dr. Dmitry Zinoviev is a Professor at Suffolk University with a prolific background in Complex Network Analysis, Data Science, and Computational Social Science. He holds a PhD and MS from SUNY at Stony Brook, as well as an MS from Lomonosov Moscow State University.
His work sits at the intersection of technology and human behavior, specifically exploring how information, friendship, and interests propagate through digital communities. He is a recognized expert in Python-based data science, having authored influential textbooks such as Complex Network Analysis in Python and Data Science Essentials in Python.
Research Performance Summary
1991-2025
Active Research Span
First Recorded Paper
New Elements of the RSFQ Logic/Memory Family
Year:
1991
Citations:
5
Venue:
3rd International Superconductor Electronics Conference
Latest Recorded Paper
Conservative at Home, Conservative Abroad? Political Ideology and Multinationals’ Location Choices
Year:
2025
Citations:
0
Venue:
Academy of Management Proceedings 2025 (1)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Zinoviev
Bunyk
Likharev
Research Impact by Period
Papers
3
Citations
5
Avg. Citations / Paper
1.7
H-Index
1
Papers
19
Citations
27
Avg. Citations / Paper
1.4
H-Index
3
Papers
17
Citations
207
Avg. Citations / Paper
12.2
H-Index
6
Papers
10
Citations
109
Avg. Citations / Paper
10.9
H-Index
5
Papers
4
Citations
87
Avg. Citations / Paper
21.8
H-Index
3
Papers
9
Citations
429
Avg. Citations / Paper
47.7
H-Index
5
Papers
28
Citations
489
Avg. Citations / Paper
17.5
H-Index
10
Papers
4
Citations
199
Avg. Citations / Paper
49.8
H-Index
3
Contact and Professional Links
Detected Research Keywords
Complex Network Analysis
Online Social Networks
Rsfq Subsystem Petaflops
Game Theoretical Approach
Petaflops Scale Computing
Flux Chip Design
Chip Design 20
Design 20 Ghz
20 Ghz 16
Ghz 16 Bit