Tilmann Rabl

2.6k citations
114 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Papers in

Tilmann Rabl

106 papers receiving 1.8k citations

Tilmann Rabl's Hit Papers

BigBench 2013 · 281 citations
2810+4+8Years since publication50100150200250

Peers

Tilmann Rabl
Comparison fields: 5 of 87
  • Computer Networks and Communications 1.4k
  • Information Systems 1.0k
  • Hardware and Architecture 272
  • Signal Processing 320
  • Information Systems and Management 180
Replace Meikel Poess with:
Meikel Poess United States
Vinayak Borkar United States
Yin Huai United States
Asterios Katsifodimos Netherlands
Andrew Fikes United States
Aaron J. Elmore United States
Swaminathan Sivasubramanian Netherlands
Namit Jain United States
Yingyi Bu United States
Jorge-Arnulfo Quiané-Ruiz Germany
Tilmann Rabl relative to Meikel Poess United States Meikel Poess's profile →
Citations per field
00.5×2.9×
Meikel Poess · 1×
Citations per year

Countries citing papers authored by Tilmann Rabl

Since Specialization
Citations

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

Fields of papers citing papers by Tilmann Rabl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BigBench
Hit paper breakdown →
2013281
2 2012178
3 201966
4 202064
5 201161
6 202160
7 201455
8 202044
9 201341
10 201839
11 202039
12 201338
13 202132
14 201930
15 201530
16 201828
17 201726
18 202025
19 201825
20 201423

About Tilmann Rabl

Tilmann Rabl is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Hardware and Architecture and Signal Processing, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (56 papers), Advanced Database Systems and Queries (43 papers), Advanced Data Storage Technologies (37 papers), Parallel Computing and Optimization Techniques (21 papers), Data Management and Algorithms (20 papers), Data Stream Mining Techniques (15 papers), Distributed and Parallel Computing Systems (13 papers) and Caching and Content Delivery (13 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (1.0k citations), Hardware and Architecture (272 citations), Signal Processing (320 citations) and Information Systems and Management (180 citations). Tilmann Rabl has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Hans‐Arno Jacobsen, Meikel Poess, Volker Markl, Sebastian Breß, Steffen Zeuch, Francois Raab, Alain Crolotte, Minqing Hu, Ahmad Ghazal and Mohammad Sadoghi. Their work appears in journals such as Proceedings of the VLDB Endowment, Lecture notes in computer science, ACM SIGMOD Record, Big Data and ACM Transactions on Database 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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