Sam Crawford
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Information Systems
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Nick FeamsterRenata TeixeiraSrikanth SundaresanWalter de DonatoAntonio PescapèVaibhav BajpaiNazanin MaghareiJürgen Schönwälder
- Topics
- Network Traffic and Congestion Control (5 papers)Caching and Content Delivery (4 papers)Mobile Agent-Based Network Management (2 papers)
- Journals
- Communications of the ACMIEEE Communications MagazineACM SIGCOMM Computer Communication Review
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Sam Crawford
11 papers receiving 132 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 117
- Electrical and Electronic Engineering 39
- Information Systems 31
- Artificial Intelligence 25
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Sam Crawford
This map shows the geographic impact of Sam Crawford'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 Sam Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Crawford more than expected).
Fields of papers citing papers by Sam Crawford
This network shows the impact of papers produced by Sam Crawford. 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 Sam Crawford. The network helps show where Sam Crawford may publish in the future.
Co-authorship network of co-authors of Sam Crawford
This figure shows the co-authorship network connecting the top 25 collaborators of Sam Crawford. A scholar is included among the top collaborators of Sam Crawford 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 Sam Crawford. Sam Crawford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | A framework for large-scale measurements | 3 |
| 6 | 12 | |
| 7 | A registry for commonly used metrics | 1 |
| 8 | 4 | |
| 9 | A registry for commonly used metrics. Independent registries | 3 |
| 10 | 34 | |
| 11 | 56 |
About Sam Crawford
Sam Crawford is a scholar working on Computer Networks and Communications, General Economics, Econometrics and Finance and Artificial Intelligence, having authored 11 papers that have together received 141 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (5 papers), Caching and Content Delivery (4 papers) and Mobile Agent-Based Network Management (2 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Media Technology (17 citations) and Information Systems (31 citations). Sam Crawford has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Nick Feamster, Renata Teixeira, Srikanth Sundaresan, Walter de Donato, Antonio Pescapè, Vaibhav Bajpai, Nazanin Magharei, Jürgen Schönwälder, Philip Eardley and Marcelo Bagnulo. Their work appears in journals such as Communications of the ACM, IEEE Communications Magazine and ACM SIGCOMM Computer Communication Review.
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.