Marcel Kyas

877 citations
71 papers · 639 · h-index 13

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Underwater Vehicles and Communication Systems

Papers in

    • Underwater Vehicles and Communication Systems 20
    • Target Tracking and Data Fusion in Sensor Networks 11
    • Advanced Software Engineering Methodologies 10
    • Logic, programming, and type systems 9

Marcel Kyas

67 papers receiving 604 citations

Peers

Marcel Kyas
Comparison fields: 5 of 50
  • Software 133
  • Ocean Engineering 156
  • Artificial Intelligence 270
  • Computer Networks and Communications 166
  • Computational Theory and Mathematics 98
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Citations per field
00.5×2×4×5.8×
Daniel L. Dvorak · 1×
Citations per year

Countries citing papers authored by Marcel Kyas

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Kyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 200553
3 201550
4 201245
5 200828
6 201421
7 201219
8 201218
9 201518
10 201117
11 200917
12 201316
13 200913
14 201311
15 201411
16 201311
17 201311
18 201411
19 20229
20 20109

About Marcel Kyas

Marcel Kyas is a scholar working on Ocean Engineering, Artificial Intelligence, Computer Networks and Communications, Software and Electrical and Electronic Engineering, having authored 71 papers that have together received 639 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (28 papers), Underwater Vehicles and Communication Systems (20 papers), Robotics and Sensor-Based Localization (14 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Advanced Software Engineering Methodologies (10 papers), Formal Methods in Verification (9 papers), Logic, programming, and type systems (9 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Software (133 citations), Ocean Engineering (156 citations), Artificial Intelligence (270 citations), Computer Networks and Communications (166 citations) and Computational Theory and Mathematics (98 citations). Marcel Kyas has collaborated with scholars based in Germany, Iceland and Norway. Frequent co-authors include Simon Schmitt, Yuan Yang, Yubin Zhao, Harald Fecher, Katinka Wolter, Einar Broch Johnsen, Willem-Paul de Roever, Frank S. de Boer, Hillel Kugler and Jozef Hooman. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Vehicular Technology, IEEE Communications Letters, Electronic Notes in Theoretical Computer Science and ˜The œInternational journal of networked and distributed computing.

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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