Sepandar Kamvar
- Computer Networks and Communications top 0.2%
- Artificial Intelligence top 0.5%
- Sociology and Political Science top 0.5%
- Information Systems top 0.2%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Héctor García-MolinaMario SchlösserTaher H. HaveliwalaChristopher D. ManningDan KleinGene H. GolubDamon HorowitzJennifer Aaker
- Topics
- Peer-to-Peer Network Technologies (10 papers)Caching and Content Delivery (8 papers)Access Control and Trust (8 papers)
- Partner nations
- United States
In The Last Decade
Sepandar Kamvar
33 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 2.7k
- Artificial Intelligence 2.6k
- Sociology and Political Science 2.2k
- Information Systems 2.0k
- Statistical and Nonlinear Physics 714
Countries citing papers authored by Sepandar Kamvar
This map shows the geographic impact of Sepandar Kamvar'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 Sepandar Kamvar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sepandar Kamvar more than expected).
Fields of papers citing papers by Sepandar Kamvar
This network shows the impact of papers produced by Sepandar Kamvar. 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 Sepandar Kamvar. The network helps show where Sepandar Kamvar may publish in the future.
Co-authorship network of co-authors of Sepandar Kamvar
This figure shows the co-authorship network connecting the top 25 collaborators of Sepandar Kamvar. A scholar is included among the top collaborators of Sepandar Kamvar 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 Sepandar Kamvar. Sepandar Kamvar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 1 | |
| 3 | Weblines: Enabling the Social Transfer of Web Search Expertise using User-Generated Short-form Timelines. | 2 |
| 4 | 193 | |
| 5 | 3 | |
| 6 | 288 | |
| 7 | 39 | |
| 8 | 179 | |
| 9 | 26 | |
| 10 | Spectral learning | 177 |
| 11 | The Second Eigenvalue of the Google Matrix | 175 |
| 12 | 280 | |
| 13 | The Condition Number of the PageRank Problem | 24 |
| 14 | Computing PageRank using Power Extrapolation | 46 |
| 15 | Exploiting the Block Structure of the Web for Computing PageRank | 208 |
| 16 | EigenRep: Reputation Management in P2P Networks | 163 |
| 17 | The Eigentrust algorithm for reputation management in P2P networksbreakdown → | 2143 |
| 18 | Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach | 45 |
| 19 | From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering | 357 |
| 20 | 34 |
About Sepandar Kamvar
Sepandar Kamvar is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Science Applications, having authored 33 papers that have together received 5.9k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (10 papers), Caching and Content Delivery (8 papers) and Access Control and Trust (8 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Information Systems (2.0k citations) and Artificial Intelligence (2.6k citations). Sepandar Kamvar has collaborated with scholars based in United States. Frequent co-authors include Héctor García-Molina, Mario Schlösser, Taher H. Haveliwala, Christopher D. Manning, Dan Klein, Gene H. Golub, Damon Horowitz, Jennifer Aaker, Cassie Mogilner and Tyson Condie. Their work appears in journals such as Journal of Consumer Research, Communications of the ACM and ACM SIGMOD Record.
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.