André Luckow

2.6k citations
79 papers · 1.7k · h-index 23

Impact in

Papers in

    • Distributed and Parallel Computing Systems 26
    • Advanced Data Storage Technologies 14
    • Distributed systems and fault tolerance 7
    • Cloud Computing and Resource Management 24
    • Blockchain Technology Applications and Security 9

André Luckow

70 papers receiving 1.7k citations

Peers

André Luckow
Comparison fields: 5 of 113
  • Automotive Engineering 307
  • Information Systems 544
  • Transportation 142
  • Information Systems and Management 142
  • Computer Networks and Communications 452
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Citations per field
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Citations per year

Countries citing papers authored by André Luckow

Since Specialization
Citations

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

Fields of papers citing papers by André Luckow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016209
2 2021132
3 2016107
4 202187
5 201571
6 201768
7 202264
8 202460
9 201456
10 201050
11 201446
12 201946
13 201843
14 202243
15 202138
16 201637
17 201736
18 201232
19 201932
20 202230

About André Luckow

André Luckow is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Hardware and Architecture and Artificial Intelligence, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (26 papers), Cloud Computing and Resource Management (24 papers), Advanced Data Storage Technologies (14 papers), Quantum Computing Algorithms and Architecture (14 papers), Scientific Computing and Data Management (13 papers), Parallel Computing and Optimization Techniques (10 papers), Blockchain Technology Applications and Security (9 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Automotive Engineering (307 citations), Information Systems (544 citations), Transportation (142 citations), Information Systems and Management (142 citations) and Computer Networks and Communications (452 citations). André Luckow has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ardalan Vahidi, Nianfeng Wan, Shantenu Jha, Ken Kennedy, Seyed Alireza Fayazi, Amy Apon, Bettina Schnor, Gilbert Fridgen, Johannes Sedlmeir and Johannes Klepsch. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Future Generation Computer Systems, Business & Information Systems Engineering and Journal of the Association for Information Systems.

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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