Neil Daswani
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Signal Processing top 5%
- Sociology and Political Science
- Co-authors
- Saikat GuhaHéctor García-MolinaChristoph KernMayank BawaBrian F. CooperSergio MartiMario SchlösserQi Sun
- Topics
- Peer-to-Peer Network Technologies (9 papers)Caching and Content Delivery (7 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
- Partner nations
- United States
In The Last Decade
Neil Daswani
19 papers receiving 463 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 418
- Artificial Intelligence 183
- Information Systems 145
- Signal Processing 107
- Sociology and Political Science 72
Countries citing papers authored by Neil Daswani
This map shows the geographic impact of Neil Daswani'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 Neil Daswani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Daswani more than expected).
Fields of papers citing papers by Neil Daswani
This network shows the impact of papers produced by Neil Daswani. 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 Neil Daswani. The network helps show where Neil Daswani may publish in the future.
Co-authorship network of co-authors of Neil Daswani
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Daswani. A scholar is included among the top collaborators of Neil Daswani 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 Neil Daswani. Neil Daswani 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 | 5 | |
| 3 | 3 | |
| 4 | The Goals and Challenges of Click Fraud Penetration Testing Systems | 9 |
| 5 | The anatomy of Clickbot.A | 100 |
| 6 | 29 | |
| 7 | 1 | |
| 8 | An Experimental Study of the Skype Peer-to-Peer VoIP System | 251 |
| 9 | 3 | |
| 10 | Denial-of-service (dos) attacks and commerce infrastructure in peer-to-peer networks (draft) | 2 |
| 11 | 9 | |
| 12 | 3 | |
| 13 | Evaluating Reputation Systems for Document Authenticity | 4 |
| 14 | Pong-Cache Poisoning in GUESS (Extended Technical Report) | 2 |
| 15 | 31 | |
| 16 | 4 | |
| 17 | Protecting the PIPE from malicious peers | 6 |
| 18 | 57 | |
| 19 | 0 | |
| 20 | SWAPEROO: a simple wallet architecture for payments, exchanges, refunds, and other operations | 3 |
About Neil Daswani
Neil Daswani is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 20 papers that have together received 523 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (9 papers), Caching and Content Delivery (7 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Networks and Communications (418 citations), Signal Processing (107 citations) and Information Systems (145 citations). Neil Daswani has collaborated with scholars based in United States. Frequent co-authors include Saikat Guha, Héctor García-Molina, Christoph Kern, Mayank Bawa, Brian F. Cooper, Sergio Marti, Mario Schlösser, Qi Sun, Beverly Yang and Prasanna Ganesan. Their work appears in journals such as Future Generation Computer Systems, Computer Networks 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.