Daniel Smilkov

10 papers and 488 indexed citations i.

About

Daniel Smilkov is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Smilkov has authored 10 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 3 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Smilkov’s work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Data Visualization and Analytics (2 papers). Daniel Smilkov is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Data Visualization and Analytics (2 papers). Daniel Smilkov collaborates with scholars based in United States, North Macedonia and Italy. Daniel Smilkov's co-authors include Fernanda Viégas, Martin Wattenberg, Ljupčo Kocarev, Carrie J. Cai, Michael Terry, Narayan Hegde, Greg S. Corrado, Jason Hipp, Martin C. Stumpe and Emily Reif and has published in prestigious journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Daniel Smilkov i

Fields of papers citing papers by Daniel Smilkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Smilkov

Since Specialization
Citations

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).

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.

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