Philipp Haller

1.2k citations
43 papers · 453 · h-index 10

Impact in

Papers in

Philipp Haller

39 papers receiving 409 citations

Peers

Philipp Haller
Comparison fields: 5 of 48
  • Hardware and Architecture 184
  • Software 52
  • Computer Networks and Communications 273
  • Information Systems 137
  • Artificial Intelligence 196
Replace Michael Haupt with:
Michael Haupt Germany
Alan Dearle United Kingdom
Roy Levin Israel
Dries Buytaert Belgium
Russell W. Quong United States
Sonya E. Keene
Jérôme Vouillon France
Mario Wolczko United States
Tia Newhall United States
Jean-Pierre Banâtre France
Philipp Haller relative to Michael Haupt Germany Michael Haupt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philipp Haller

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Haller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008180
2 201236
3 201322
4 201921
5 201221
6 201419
7 201217
8 201614
9 201412
10 20189
11
Actors in Scala
20128
12
Distributed and Parallel Computing
20127
13 20226
14 20206
15
Parallelizing Machine Learning- Functionally: A Framework and Abstractions for Parallel Graph Processing
20116
16 20156
17 20185
18 20165
19 20124
20 20224

About Philipp Haller

Philipp Haller is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 43 papers that have together received 453 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (21 papers), Parallel Computing and Optimization Techniques (17 papers), Logic, programming, and type systems (12 papers), Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (7 papers), Security and Verification in Computing (5 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Hardware and Architecture (184 citations), Software (52 citations), Computer Networks and Communications (273 citations), Information Systems (137 citations) and Artificial Intelligence (196 citations). Philipp Haller has collaborated with scholars based in Sweden, Switzerland and France. Frequent co-authors include Martin Odersky, Heather Miller, Adriaan Moors, Tiark Rompf, Nada Amin, Aleksandar Prokopec, Xin Zhao, Brice Morin, Martin Monperrus and Benoît Baudry. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Journal of Logical and Algebraic Methods in Programming, Journal of Functional Programming and Circulation Research.

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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