William Kramer

2.2k citations
41 papers · 733 · h-index 13

Impact in

Papers in

    • Distributed and Parallel Computing Systems 18
    • Software System Performance and Reliability 12
    • Advanced Data Storage Technologies 12
    • Distributed systems and fault tolerance 7
    • Interconnection Networks and Systems 3
    • Cloud Computing and Resource Management 16

William Kramer

38 papers receiving 711 citations

Peers

William Kramer
Comparison fields: 5 of 79
  • Hardware and Architecture 261
  • Computer Networks and Communications 550
  • Software 52
  • Information Systems 263
  • Computational Mathematics 2
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Citations per field
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Citations per year

Countries citing papers authored by William Kramer

Since Specialization
Citations

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

Fields of papers citing papers by William Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Kramer, 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 William Kramer Line = papers co-authored together William Kramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 200678
3 201265
4 201157
5 201247
6 201542
7 201440
8 202038
9 201125
10 201324
11 201516
12 201915
13 200414
14 201712
15 200011
16 201411
17
Measuring Congestion in High-Performance Datacenter Interconnects
202010
18
Proceedings of the 2005 ACM/IEEE conference on Supercomputing
200510
19
Percu: a holistic method for evaluating high performance computing systems
200810
20 20208

About William Kramer

William Kramer is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Software, having authored 41 papers that have together received 733 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Cloud Computing and Resource Management (16 papers), Software System Performance and Reliability (12 papers), Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (12 papers), Distributed systems and fault tolerance (7 papers), Scientific Computing and Data Management (6 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (261 citations), Computer Networks and Communications (550 citations), Software (52 citations), Information Systems (263 citations) and Computational Mathematics (2 citations). William Kramer has collaborated with scholars based in United States, Bulgaria and France. Frequent co-authors include Franck Cappello, Ana Gainaru, Zbigniew Kalbarczyk, David Skinner, Ravishankar K. Iyer, Catello Di Martino, Marc Snir, William Gropp, Torsten Hoefler and Gregory H. Bauer. Their work appears in journals such as The International Journal of High Performance Computing Applications, Computer, Journal of Computational Science, Computing in Science & Engineering and Journal Of Big Data.

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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