Immanuel Schweizer

507 citations
38 papers · 292 indexed · h-index 10

Immanuel Schweizer

36 papers receiving 275 citations

Peers

Immanuel Schweizer
Comparison fields: 5 of 54
  • Computer Science Applications 52
  • Transportation 41
  • Computer Networks and Communications 109
  • Communication 23
  • Human-Computer Interaction 15
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Martin Wirz Switzerland
Masatoshi Arikawa Japan
James Fangmeyer Mexico
Eoghan Furey Ireland
Rolando Quintero Mexico
Morihiko Tamai Japan
Yongsung Kim South Korea
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Citations per year

Countries citing papers authored by Immanuel Schweizer

Since Specialization
Citations

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

Fields of papers citing papers by Immanuel Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20171
2 20173
3 20168
4
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application
20154
5 20154
6 201510
7 20154
8
Learning to Predict Component Failures in Trains
20142
9 20145
10 201410
11
A Fine-Grained Sentiment Analysis Approach for Detecting Crisis Related Microposts
201338
12
Towards an Integrated Mobility Simulation for Communications Research
20131
13 20134
14
Noisemap: From data gathering to user involvement
20131
15 201222
16
NoiseMap - Real-time participatory noise maps
201118
17
City Mesh - Resilient First Responder Communication
20118
18
Towards Computer Support of Paper Workflows in Emergency Management
20104
19 20107
20 201010

About Immanuel Schweizer

Immanuel Schweizer is a scholar working on Computer Networks and Communications, Computer Science Applications and Human-Computer Interaction, having authored 38 papers that have together received 292 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Energy Efficient Wireless Sensor Networks (10 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Caching and Content Delivery (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Context-Aware Activity Recognition Systems (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Science Applications (52 citations), Transportation (41 citations) and Computer Networks and Communications (109 citations). Immanuel Schweizer has collaborated with scholars based in Germany, Vietnam and United States. Frequent co-authors include Max Mühlhäuser, Christian Meurisch, Julien Gedeon, Heiko Paulheim, Axel Schulz, Thorsten Strufe, Benedikt Schmidt, Frederik Janssen, Christoph Trattner and Martin Atzmueller. Their work appears in journals such as ACM Computing Surveys, Lecture notes in computer science, ISCRAM, TUbilio (Technical University of Darmstadt) and LWA.

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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