Michael Lang

1.8k citations
109 papers · 1.2k · h-index 18

Impact in

Papers in

Michael Lang

103 papers receiving 1.1k citations

Peers

Michael Lang
Comparison fields: 5 of 84
  • Hardware and Architecture 460
  • Computer Networks and Communications 743
  • Radiological and Ultrasound Technology 101
  • Statistics, Probability and Uncertainty 137
  • Information Systems 301
Replace Guanpeng Li with:
Guanpeng Li United States
Calvin J. Ribbens United States
Kanak Agarwal United States
Frank Hannig Germany
Kazutomo Yoshii United States
F. Wu United States
Apostolos Gerasoulis United States
Jouko Vankka Finland
Jianhao Hu China
Hao Fang China
Michael Lang relative to Guanpeng Li United States Guanpeng Li's profile →
Citations per field
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Guanpeng Li · 1×
Citations per year

Countries citing papers authored by Michael Lang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200897
2 201469
3 200949
4 200947
5 200641
6 201939
7 200538
8 200833
9 201532
10 201328
11 201528
12 201426
13 200821
14 201320
15 200420
16 201520
17 201919
18 201417
19 200716
20 200816

About Michael Lang

Michael Lang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems and Statistics, Probability and Uncertainty, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (50 papers), Distributed and Parallel Computing Systems (28 papers), Interconnection Networks and Systems (27 papers), Advanced Data Storage Technologies (26 papers), Cloud Computing and Resource Management (22 papers), Electrical Fault Detection and Protection (18 papers), Risk and Safety Analysis (13 papers) and Distributed systems and fault tolerance (10 papers). The work is most often cited by research in Hardware and Architecture (460 citations), Computer Networks and Communications (743 citations), Radiological and Ultrasound Technology (101 citations), Statistics, Probability and Uncertainty (137 citations) and Information Systems (301 citations). Michael Lang has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Scott Pakin, Darren J. Kerbyson, R. Wilkins, Ioan Raicu, Adolfy Hoisie, Xin Yuan, José Carlos Sancho, Kevin Barker, Kei Davis and Tonglin Li. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Industry Applications, Parallel Computing, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

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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