Philipp Haller

1.3k citations
49 papers · 934 · h-index 16

Impact in

Papers in

Philipp Haller

49 papers receiving 866 citations

Peers

Philipp Haller
Comparison fields: 5 of 53
  • Hardware and Architecture 410
  • Computer Networks and Communications 584
  • Software 86
  • Artificial Intelligence 474
  • Information Systems 253
Replace Matthias Zenger with:
Matthias Zenger Switzerland
Mohsen Vakilian United States
James M. Purtilo United States
Hidehiko Masuhara Japan
Jérôme Vouillon France
Roy Levin Israel
Martin Odersky Switzerland
Ravi B. Konuru United States
Ian A. Mason United States
Joseph Yossi Gil Israel
Philipp Haller relative to Matthias Zenger Switzerland Matthias Zenger's profile →
Citations per field
00.5×2×4×6×7.2×
Matthias Zenger · 1×
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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008266
2 200764
3 200663
4
Capabilities for Uniqueness and Borrowing
200956
5 201242
6 201237
7 201233
8 201031
9 200830
10 201429
11 201228
12 201327
13 201925
14 201323
15 201421
16 201619
17 201414
18
Actors in Scala
201214
19 20189
20 20158

About Philipp Haller

Philipp Haller is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 49 papers that have together received 934 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (28 papers), Parallel Computing and Optimization Techniques (22 papers), Logic, programming, and type systems (17 papers), Cloud Computing and Resource Management (9 papers), Scientific Computing and Data Management (8 papers), Distributed and Parallel Computing Systems (8 papers), Security and Verification in Computing (6 papers) and Real-Time Systems Scheduling (5 papers). The work is most often cited by research in Hardware and Architecture (410 citations), Computer Networks and Communications (584 citations), Software (86 citations), Artificial Intelligence (474 citations) and Information Systems (253 citations). Philipp Haller has collaborated with scholars based in Sweden, Switzerland and France. Frequent co-authors include Martin Odersky, Heather R. Miller, Adriaan Moors, Tiark Rompf, Tom Van Cutsem, Aleksandar Prokopec, Nada Amin, Benoît Baudry, Martin Monperrus and Xin Zhao. 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, Proceedings of the VLDB Endowment 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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