Fritz Hohl

1.2k citations
13 papers · 362 · h-index 8

Impact in

Papers in

Fritz Hohl

12 papers receiving 305 citations

Peers

Fritz Hohl
Comparison fields: 5 of 42
  • Computer Networks and Communications 306
  • Computer Vision and Pattern Recognition 94
  • Information Systems 86
  • Signal Processing 34
  • Artificial Intelligence 90
Replace Theo Kanter with:
Theo Kanter Sweden
Michael Fahrmair Germany
Anugeetha Kunjithapatham United States
Amir Padovitz Australia
Thirunavukkarasu Sivaharan United Kingdom
Yue-Hsun Lin Taiwan
Ricardo Morla Portugal
Sami Yangui France
Uwe Kubach Germany
Fritz Hohl relative to Theo Kanter Sweden Theo Kanter's profile →
Citations per field
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Theo Kanter · 1×
Citations per year

Countries citing papers authored by Fritz Hohl

Since Specialization
Citations

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

Fields of papers citing papers by Fritz Hohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Fritz Hohl, 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 Fritz Hohl Line = papers co-authored together Fritz Hohl links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1998143
2 199982
3 200235
4 200228
5 200225
6 199918
7 19999
8
Konzeption eines einfachen Agentensystems und Implementation eines Prototyps
19959
9 20026
10 19983
11
Combining Context-awareness and Personalisation in Advanced Applications on Mobile Terminals
20022
12
Generic service elements for adaptive applications
20052
13
An integrated Approach to Advanced User Experience on Mobile Devices
20020

About Fritz Hohl

Fritz Hohl is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Signal Processing, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (8 papers), Distributed systems and fault tolerance (4 papers), Context-Aware Activity Recognition Systems (4 papers), Service-Oriented Architecture and Web Services (3 papers), Peer-to-Peer Network Technologies (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Network Security and Intrusion Detection (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (306 citations), Computer Vision and Pattern Recognition (94 citations), Information Systems (86 citations), Signal Processing (34 citations) and Artificial Intelligence (90 citations). Fritz Hohl has collaborated with scholars based in Germany. Frequent co-authors include Kurt Rothermel, Michael Strasser, Joachim Baumann, Alexander Leonhardi, Uwe Kubach, Markus Schwehm, Ernő Kovács, Kimmo Raatikainen, Sasu Tarkoma and Howard Williams. Their work appears in journals such as World Wide Web, Software Practice and Experience, IEEE Communications Magazine, OPUS Publication Server of the University of Stuttgart (University of Stuttgart) and Springer eBooks.

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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