Jasmine Novak

23 total papers · 5.2k total citations
20 papers, 3.1k citations indexed

About

Jasmine Novak is a scholar working on Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jasmine Novak has authored 20 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 8 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Jasmine Novak's work include Complex Network Analysis Techniques (10 papers), Web Data Mining and Analysis (7 papers) and Peer-to-Peer Network Technologies (4 papers). Jasmine Novak is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Web Data Mining and Analysis (7 papers) and Peer-to-Peer Network Technologies (4 papers). Jasmine Novak collaborates with scholars based in United States and United Kingdom. Jasmine Novak's co-authors include Andrew Tomkins, Ravi Kumar, Prabhakar Raghavan, Ravi Kumar, David Liben‐Nowell, Ramanathan V. Guha, Daniel Gruhl, John A. Tomlin, Lars Bäckström and Ravi Kumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and World Wide Web.

In The Last Decade

Jasmine Novak

20 papers receiving 2.8k citations

Hit Papers

Structure and evolution o... 2005 2026 2012 2019 2006 2005 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jasmine Novak 1.5k 934 890 637 585 20 3.1k
Ravi Kumar 2.7k 1.8× 918 1.0× 1.2k 1.4× 1.0k 1.6× 632 1.1× 16 4.4k
Xiaodan Song 1.3k 0.9× 838 0.9× 807 0.9× 335 0.5× 768 1.3× 27 2.9k
Takeshi Sakaki 1.3k 0.9× 1.2k 1.3× 648 0.7× 333 0.5× 715 1.2× 30 3.1k
Qi He 1.3k 0.9× 1.9k 2.1× 1.7k 2.0× 464 0.7× 423 0.7× 63 3.5k
Belle L. Tseng 2.1k 1.4× 1.6k 1.7× 1.2k 1.4× 594 0.9× 941 1.6× 69 4.5k
Bimal Viswanath 988 0.7× 1.8k 1.9× 1.2k 1.3× 1.1k 1.8× 593 1.0× 33 3.3k
Liangjie Hong 832 0.6× 1.7k 1.8× 1.4k 1.6× 227 0.4× 402 0.7× 43 2.9k
R. Guha 1.4k 0.9× 2.0k 2.1× 1.4k 1.6× 787 1.2× 812 1.4× 16 3.6k
Seth A. Myers 1.4k 0.9× 644 0.7× 654 0.7× 972 1.5× 390 0.7× 15 3.6k
Huiji Gao 552 0.4× 1.3k 1.4× 1.5k 1.7× 432 0.7× 568 1.0× 51 3.1k

Countries citing papers authored by Jasmine Novak

Since Specialization
Citations

This map shows the geographic impact of Jasmine Novak'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 Jasmine Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmine Novak more than expected).

Fields of papers citing papers by Jasmine Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasmine Novak. 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 Jasmine Novak. The network helps show where Jasmine Novak may publish in the future.

Co-authorship network of co-authors of Jasmine Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmine Novak. A scholar is included among the top collaborators of Jasmine Novak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jasmine Novak. Jasmine Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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