Adam Rifkin
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Hardware and Architecture top 10%
- Co-authors
- Rohit KhareR. KhareK. Mani ChandyDoug CuttingPaolo A. G. SivilottiM. I. RichardsonDan ConnollyEve M. Schooler
- Topics
- Distributed and Parallel Computing Systems (12 papers)Distributed systems and fault tolerance (6 papers)Parallel Computing and Optimization Techniques (5 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Adam Rifkin
24 papers receiving 318 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 217
- Information Systems 166
- Artificial Intelligence 115
- Sociology and Political Science 79
- Hardware and Architecture 55
Countries citing papers authored by Adam Rifkin
This map shows the geographic impact of Adam Rifkin'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 Adam Rifkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Rifkin more than expected).
Fields of papers citing papers by Adam Rifkin
This network shows the impact of papers produced by Adam Rifkin. 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 Adam Rifkin. The network helps show where Adam Rifkin may publish in the future.
Co-authorship network of co-authors of Adam Rifkin
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Rifkin. A scholar is included among the top collaborators of Adam Rifkin 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 Adam Rifkin. Adam Rifkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Nutch: A Flexible and Scalable Open-Source Web Search Engine | 55 |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | Trust Management on the World Wide Web. | 14 |
| 6 | 21 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | Weaving a Web of trust | 61 |
| 11 | Capturing the state of distributed systems with XML | 5 |
| 12 | The evolution of Web documents: the ascent of XML | 17 |
| 13 | 51 | |
| 14 | 64 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | User's guide to the Reliability Estimation System Testbed (REST) | 3 |
| 19 | 11 | |
| 20 | Performance effects of irregular communications patterns on massively parallel multiprocessors. Final report | 1 |
About Adam Rifkin
Adam Rifkin is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Science Applications, having authored 27 papers that have together received 383 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Distributed systems and fault tolerance (6 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (217 citations), Hardware and Architecture (55 citations) and Information Systems (166 citations). Adam Rifkin has collaborated with scholars based in United States and France. Frequent co-authors include Rohit Khare, R. Khare, K. Mani Chandy, Doug Cutting, Paolo A. G. Sivilotti, M. I. Richardson, Dan Connolly, Eve M. Schooler, Harry Berryman and David M. Nicol. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Internet Computing and First Monday.
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.