Volker Markl

8.6k citations
231 papers · 4.9k · 3 hit papers · h-index 31

Impact in

Papers in

Volker Markl

218 papers receiving 4.6k citations

Volker Markl's Hit Papers

Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding 2019 · 347 citations
3470+4+8Years since publication250500750

Peers

Volker Markl
Comparison fields: 5 of 124
  • Computer Networks and Communications 3.2k
  • Signal Processing 1.5k
  • Information Systems 2.1k
  • Hardware and Architecture 403
  • Information Systems and Management 399
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Citations per field
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Citations per year

Countries citing papers authored by Volker Markl

Since Specialization
Citations

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

Fields of papers citing papers by Volker Markl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Apache flink : Stream and batch processing in a single engine
Hit paper breakdown →
2015754
2
Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding
Hit paper breakdown →
2019347
3
The Stratosphere platform for big data analytics
Hit paper breakdown →
2014260
4 2004228
5
LEO - DB2's LEarning Optimizer
2001219
6 2010168
7 2004156
8 201389
9 201287
10
Integrating the UB-Tree into a Database System Kernel
200081
11 200665
12 200863
13 200361
14 202061
15 201959
16 201459
17 201859
18 201558
19 201852
20
Damia: a data mashup fabric for intranet applications
200750

About Volker Markl

Volker Markl is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 231 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (112 papers), Data Management and Algorithms (70 papers), Cloud Computing and Resource Management (63 papers), Parallel Computing and Optimization Techniques (30 papers), Graph Theory and Algorithms (27 papers), Scientific Computing and Data Management (26 papers), Data Stream Mining Techniques (26 papers) and Advanced Data Storage Technologies (26 papers). The work is most often cited by research in Computer Networks and Communications (3.2k citations), Signal Processing (1.5k citations), Information Systems (2.1k citations), Hardware and Architecture (403 citations) and Information Systems and Management (399 citations). Volker Markl has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Stephan Ewen, Kostas Tzoumas, Asterios Katsifodimos, Paris Carbone, Seif Haridi, Guy M. Lohman, Tilmann Rabl, Sebastian Breß, Begüm Demir and Marcela Charfuelàn. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, ACM Transactions on Database Systems and ACM Computing Surveys.

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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