Samuel Lang

1.2k citations
17 papers · 919 · h-index 11

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Distributed systems and fault tolerance
    • Peer-to-Peer Network Technologies

Papers in

    • Distributed and Parallel Computing Systems 13
    • Advanced Data Storage Technologies 12
    • Caching and Content Delivery 3
    • Distributed systems and fault tolerance 2
    • Peer-to-Peer Network Technologies 2
    • Cloud Computing and Resource Management 8
    • Service-Oriented Architecture and Web Services 1

Samuel Lang

17 papers receiving 885 citations

Peers

Samuel Lang
Comparison fields: 5 of 43
  • Hardware and Architecture 429
  • Computer Networks and Communications 875
  • Information Systems and Management 111
  • Information Systems 262
  • Computer Vision and Pattern Recognition 31
Replace Gary Grider with:
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Citations per field
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Citations per year

Countries citing papers authored by Samuel Lang

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samuel Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Lang Line = papers co-authored together Samuel Lang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009172
2 2011154
3 2009116
4 2009114
5 201185
6 201166
7 200556
8 201144
9 201041
10 201131
11 200314
12 20099
13 20125
14 20095
15 20043
16 20103
17 20041

About Samuel Lang

Samuel Lang is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Artificial Intelligence, having authored 17 papers that have together received 919 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (13 papers), Advanced Data Storage Technologies (12 papers), Cloud Computing and Resource Management (8 papers), Parallel Computing and Optimization Techniques (7 papers), Caching and Content Delivery (3 papers), Distributed systems and fault tolerance (2 papers), Peer-to-Peer Network Technologies (2 papers) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Hardware and Architecture (429 citations), Computer Networks and Communications (875 citations), Information Systems and Management (111 citations), Information Systems (262 citations) and Computer Vision and Pattern Recognition (31 citations). Samuel Lang has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Robert Ross, Philip Carns, Robert Latham, Kevin Harms, William Allcock, Kamil Iskra, Charles Bacon, Katherine Riley, Rajeev Thakur and Seung Woo Son. Their work appears in journals such as ACM Transactions on Storage, Concurrency and Computation Practice and Experience and arXiv (Cornell University).

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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