Meikel Poess

2.1k citations
44 papers · 1.0k indexed · h-index 14
Topics
Cloud Computing and Resource Management (17 papers)Advanced Database Systems and Queries (13 papers)Advanced Data Storage Technologies (9 papers)

In The Last Decade

Meikel Poess

42 papers receiving 956 citations

Peers

Meikel Poess
Comparison fields: 5 of 62
  • Computer Networks and Communications 825
  • Information Systems 622
  • Signal Processing 174
  • Artificial Intelligence 169
  • Hardware and Architecture 120
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Meikel Poess relative to Badrish Chandramouli United States Badrish Chandramouli's profile →
Citations per field
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Badrish Chandramouli · 1×
Citations per year

Countries citing papers authored by Meikel Poess

Since Specialization
Citations

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

Fields of papers citing papers by Meikel Poess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meikel Poess

This figure shows the co-authorship network connecting the top 25 collaborators of Meikel Poess. A scholar is included among the top collaborators of Meikel Poess 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 Meikel Poess. Meikel Poess 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
#WorkIndexed citations
1 0
2 1
3 2
4 4
5 2
6
Introducing TPCx-HS: Industry’s First Standard for Benchmarking Big Data Systems
1
7 29
8 204
9 13
10 11
11 20
12
Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
1
13 10
14 4
15 136
16
Why you should run TPC-DS: a workload analysis
44
17
Large scale data warehouses on grid: Oracle database 10 g and HP proliant servers
13
18 22
19 55
20 1

About Meikel Poess

Meikel Poess is a scholar working on Computer Networks and Communications, Management Information Systems and Information Systems, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), Advanced Database Systems and Queries (13 papers) and Advanced Data Storage Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (825 citations), Information Systems (622 citations) and Hardware and Architecture (120 citations). Meikel Poess has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Raghunath Nambiar, Tilmann Rabl, Hans‐Arno Jacobsen, Minqing Hu, Francois Raab, Ahmad Ghazal, Alain Crolotte, David E. Walrath, Ľubor Kollár and Paul A. Larson. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Lecture notes in computer science.

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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