Scott Nettles

2.8k total citations
65 papers, 1.7k citations indexed

About

Scott Nettles is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Scott Nettles has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 14 papers in Hardware and Architecture. Recurrent topics in Scott Nettles's work include Distributed systems and fault tolerance (23 papers), Wireless Networks and Protocols (17 papers) and Parallel Computing and Optimization Techniques (13 papers). Scott Nettles is often cited by papers focused on Distributed systems and fault tolerance (23 papers), Wireless Networks and Protocols (17 papers) and Parallel Computing and Optimization Techniques (13 papers). Scott Nettles collaborates with scholars based in United States, India and Greece. Scott Nettles's co-authors include Michael Hicks, Jonathan T. Moore, James W. O’Toole, Jonathan M. Smith, Carl A. Gunter, Pankaj Kakkar, Daniel H. Huson, Tandy Warnow, Robert W. Heath and Marianne Shaw and has published in prestigious journals such as Inorganic Chemistry, ACM SIGCOMM Computer Communication Review and IEEE Network.

In The Last Decade

Scott Nettles

63 papers receiving 1.6k citations

Peers

Scott Nettles
Comparison fields: 5 of 74
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 551
  • Hardware and Architecture 415
  • Electrical and Electronic Engineering 294
  • Information Systems 254
Replace Michela Becchi with:
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Michela Becchi United States View profile →
Citations per field, relative to Scott Nettles
Scott Nettles · 1×
Citations per year, relative to Scott Nettles
Scott Nettles · 1×

Countries citing papers authored by Scott Nettles

Since Specialization
Citations

This map shows the geographic impact of Scott Nettles'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 Scott Nettles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Nettles more than expected).

Fields of papers citing papers by Scott Nettles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Nettles. 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 Scott Nettles. The network helps show where Scott Nettles may publish in the future.

Co-authorship network of co-authors of Scott Nettles

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Nettles. A scholar is included among the top collaborators of Scott Nettles 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 Scott Nettles. Scott Nettles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 51
3 3
4 1
5 19
6 41
7 0
8 15
9 161
10 15
11 10
12
SwitchWare: Accelerating Network Evolution (White Paper)
11
13
Safe and Efficient Persistent Heaps
1
14 27
15
Concurrent Replication Garbage Collection: An Implementation Report
3
16 4
17
Concurrent garbage collection of persistent heaps
2
18 38
19
Tinkertoy Transactions
2
20 13

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.

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