Sarika Jalan
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 1%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- R. E. AmritkarJayendra N. BandyopadhyayAnna ZakharovaStefano BoccalettiChin‐Kun HuKavita SharmaMiguel RomanceCharo I. del Genio
- Topics
- Nonlinear Dynamics and Pattern Formation (50 papers)Complex Network Analysis Techniques (34 papers)Opinion Dynamics and Social Influence (26 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Sarika Jalan
94 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Statistical and Nonlinear Physics 875
- Computer Networks and Communications 863
- Cognitive Neuroscience 373
- Molecular Biology 262
- Biomedical Engineering 184
Countries citing papers authored by Sarika Jalan
This map shows the geographic impact of Sarika Jalan'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 Sarika Jalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarika Jalan more than expected).
Fields of papers citing papers by Sarika Jalan
This network shows the impact of papers produced by Sarika Jalan. 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 Sarika Jalan. The network helps show where Sarika Jalan may publish in the future.
Co-authorship network of co-authors of Sarika Jalan
This figure shows the co-authorship network connecting the top 25 collaborators of Sarika Jalan. A scholar is included among the top collaborators of Sarika Jalan 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 Sarika Jalan. Sarika Jalan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 30 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 40 | |
| 15 | 38 | |
| 16 | Eigenvalue crossing in principal eigenvector localized networks | 1 |
| 17 | 14 | |
| 18 | 7 | |
| 19 | 11 | |
| 20 | 55 |
About Sarika Jalan
Sarika Jalan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (50 papers), Complex Network Analysis Techniques (34 papers) and Opinion Dynamics and Social Influence (26 papers). The work is most often cited by research in Statistical and Nonlinear Physics (875 citations), Computer Networks and Communications (863 citations) and Cognitive Neuroscience (373 citations). Sarika Jalan has collaborated with scholars based in India, Russia and Germany. Frequent co-authors include R. E. Amritkar, Jayendra N. Bandyopadhyay, Anna Zakharova, Stefano Boccaletti, Chin‐Kun Hu, Kavita Sharma, Miguel Romance, Charo I. del Genio, K. Alfaro-Bittner and Regino Criado. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.
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.