Daniel Smilkov
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Data Visualization and Analytics
Papers in
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 1
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- MARTIN P. WATTENBERG (2 shared papers)Fernanda Viégas (2 shared papers)Ljupčo Kocarev (7 shared papers)Dilip Krishnan (1 shared paper)Kanit Wongsuphasawat (1 shared paper)James Wexler (1 shared paper)Jason Hipp (1 shared paper)Been Kim (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Scientific Reports (1 paper)Understanding complex systems (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- North MacedoniaUnited StatesItaly
In The Last Decade
Daniel Smilkov
10 papers receiving 655 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 84
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 216
- Statistical and Nonlinear Physics 69
- Human-Computer Interaction 45
Countries citing papers authored by Daniel Smilkov
This map shows the geographic impact of Daniel Smilkov'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 Daniel Smilkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Smilkov more than expected).
Fields of papers citing papers by Daniel Smilkov
This network shows the impact of papers produced by Daniel Smilkov. 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 Daniel Smilkov. The network helps show where Daniel Smilkov may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel Smilkov, 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 | 2019 | 307 | |
| 2 | 2017 | 262 | |
| 3 | 2014 | 32 | |
| 4 | 2011 | 29 | |
| 5 | 2012 | 19 | |
| 6 | 2010 | 10 | |
| 7 | 2012 | 10 | |
| 8 | 2010 | 5 | |
| 9 | 2010 | 3 | |
| 10 | 2011 | 2 | |
| 11 | 2014 | 0 |
About Daniel Smilkov
Daniel Smilkov is a scholar working on Statistical and Nonlinear Physics, Health Informatics, Computer Networks and Communications, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 679 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Artificial Intelligence in Healthcare and Education (1 paper), Stochastic processes and statistical mechanics (1 paper), Data Visualization and Analytics (1 paper), Information Retrieval and Search Behavior (1 paper), Peer-to-Peer Network Technologies (1 paper), Distributed Control Multi-Agent Systems (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Health Informatics (84 citations), Computer Vision and Pattern Recognition (155 citations), Artificial Intelligence (216 citations), Statistical and Nonlinear Physics (69 citations) and Human-Computer Interaction (45 citations). Daniel Smilkov has collaborated with scholars based in North Macedonia, United States and Italy. Frequent co-authors include MARTIN P. WATTENBERG, Fernanda Viégas, Ljupčo Kocarev, Dilip Krishnan, Kanit Wongsuphasawat, James Wexler, Jason Hipp, Been Kim, Martin C. Stumpe and Carrie Jun Cai. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Visualization and Computer Graphics, Scientific Reports, Understanding complex systems and CHI Conference on Human Factors in Computing Systems.
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.