Volker Markl
- Computer Networks and Communications top 0.2%
- Advanced Database Systems and Queries 111
- Advanced Data Storage Technologies 26
- Signal Processing top 0.2%
- Data Management and Algorithms 70
- Information Systems top 0.2%
- Cloud Computing and Resource Management 62
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 30
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- Scientific Computing and Data Management 26
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- Graph Theory and Algorithms 27
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- Data Stream Mining Techniques 26
Volker Markl
217 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Networks and Communications 3.2k
- Signal Processing 1.5k
- Information Systems 2.0k
- Hardware and Architecture 398
- Information Systems and Management 395
Countries citing papers authored by Volker Markl
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 1 | |
| 14 | Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. | 2020 | 2 |
| 15 | Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understandingbreakdown → | 2019 | 338 |
| 16 | Die Apache Flink Plattform zur parallelen Analyse von Datenstromen und Stapeldaten | 2015 | 1 |
| 17 | Integrating Query-Feedback Based Statistics into Informix Dynamic Server. | 2007 | 1 |
| 18 | Detecting attribute dependencies from query feedback | 2007 | 6 |
| 19 | Challenges and Trends in Information Management. | 2006 | 2 |
| 20 | 2006 | 12 |
About Volker Markl
Volker Markl is a scholar working on Signal Processing, Computer Networks and Communications, Hardware and Architecture, Information Systems and Management and Information Systems, having authored 230 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (111 papers), Data Management and Algorithms (70 papers), Cloud Computing and Resource Management (62 papers), Parallel Computing and Optimization Techniques (30 papers), Graph Theory and Algorithms (27 papers), Advanced Data Storage Technologies (26 papers), Scientific Computing and Data Management (26 papers) and Data Stream Mining Techniques (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 (2.0k citations), Hardware and Architecture (398 citations) and Information Systems and Management (395 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 IEEE Transactions on Knowledge and Data Engineering.
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.