Daniel Lohmann

137 papers receiving 2.0k citations

Peers

Daniel Lohmann
Comparison fields: 5 of 113
  • Software 386
  • Hardware and Architecture 602
  • Information Systems 862
  • Computer Networks and Communications 810
  • Artificial Intelligence 1000
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Shaukat Ali Norway
Christian Bunse Germany
Marco Roveri Italy
P. S. Thiagarajan Singapore
Kathleen Fisher United States
Ezio Bartocci Austria
María García de la Banda Australia
Olle Dahl Sweden
Nuno Neves Portugal
Wan Fokkink Netherlands
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Countries citing papers authored by Daniel Lohmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011135
2 2010109
3 2012108
4 200690
5 201184
6 201266
7 200752
8 201049
9 201547
10
Attack Surface Metrics and Automated Compile-Time OS Kernel Tailoring.
201343
11 200940
12 201039
13
AspectC++ – An AOP Extension for C++
200539
14 200938
15 200437
16 201235
17
CiAO: an aspect-oriented operating-system family for resource-constrained embedded systems
200934
18
Static analysis of variability in system software: the 90,000 #ifdefs issue
201434
19 201133
20
Fail ∗ : Towards a versatile fault-injection experiment framework
201231

About Daniel Lohmann

Daniel Lohmann is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Electrical and Electronic Engineering, having authored 147 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (63 papers), Real-Time Systems Scheduling (45 papers), Software System Performance and Reliability (36 papers), Service-Oriented Architecture and Web Services (28 papers), Radiation Effects in Electronics (27 papers), Software Engineering Research (23 papers), Distributed systems and fault tolerance (23 papers) and Parallel Computing and Optimization Techniques (18 papers). The work is most often cited by research in Software (386 citations), Hardware and Architecture (602 citations), Information Systems (862 citations), Computer Networks and Communications (810 citations) and Artificial Intelligence (1000 citations). Daniel Lohmann has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Wolfgang Schröder‐Preikschat, Olaf Spinczyk, Reinhard Tartler, Christian Dietrich, Julio Sincero, Martin Hoffmann, Johanna Spandl, Christoph Thiele, Lars Kuerschner and Christine Moessinger. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Systems Architecture, Communications of the ACM, Knowledge-Based Systems and ACM Transactions on Embedded Computing 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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