Jasmine Novak
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Networks and Communications top 2%
- Sociology and Political Science top 2%
- Co-authors
- Andrew TomkinsRavi KumarPrabhakar RaghavanDavid Liben‐NowellDaniel GruhlRamanathan V. GuhaJohn A. TomlinLars Bäckström
- Topics
- Complex Network Analysis Techniques (10 papers)Web Data Mining and Analysis (7 papers)Peer-to-Peer Network Technologies (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jasmine Novak
20 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Statistical and Nonlinear Physics 1.5k
- Artificial Intelligence 931
- Information Systems 890
- Computer Networks and Communications 634
- Sociology and Political Science 585
Countries citing papers authored by Jasmine Novak
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 134 | |
| 3 | 51 | |
| 4 | 65 | |
| 5 | 62 | |
| 6 | 148 | |
| 7 | Structure and evolution of online social networksbreakdown → | 694 |
| 8 | Efficient implementation of large-scale multi-structural databases | 11 |
| 9 | 280 | |
| 10 | Geographic routing in social networksbreakdown → | 536 |
| 11 | 26 | |
| 12 | Theoretical Analysis of Geographic Routing in Social Networks | 14 |
| 13 | 120 | |
| 14 | 229 | |
| 15 | 69 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 388 | |
| 19 | 85 | |
| 20 | PageRank Computation and the Structure of the Web: Experiments and Algorithms | 126 |
About Jasmine Novak
Jasmine Novak is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Signal Processing, having authored 20 papers that have together received 3.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Web Data Mining and Analysis (7 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Communication (370 citations) and Transportation (305 citations). Jasmine Novak has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andrew Tomkins, Ravi Kumar, Prabhakar Raghavan, Ravi Kumar, David Liben‐Nowell, Daniel Gruhl, Ramanathan V. Guha, John A. Tomlin, Lars Bäckström and Ravi Kumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and World Wide Web.
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.