Michał Marks

559 citations
31 papers · 354 · h-index 11

Impact in

Papers in

Michał Marks

27 papers receiving 332 citations

Peers

Michał Marks
Comparison fields: 5 of 60
  • Computer Networks and Communications 220
  • Ocean Engineering 59
  • Electrical and Electronic Engineering 136
  • Civil and Structural Engineering 50
  • Artificial Intelligence 63
Replace Anas Al-Roubaiey with:
Anas Al-Roubaiey Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Michał Marks

Since Specialization
Citations

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

Fields of papers citing papers by Michał Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michał Marks, 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 Michał Marks Line = papers co-authored together Michał Marks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 200947
3 201040
4 201533
5 201831
6 200720
7 201218
8 201917
9 200713
10 201411
11 201210
12 20189
13 20127
14 20167
15 20146
16
Comparative study of massively parallel cryptalysis and cryptography on CPU-GPU cluster
20135
17
Localization in Wireless Sensor Networks Using Heuristic Optimization Techniques
20115
18 20094
19
An Integrated Software Framework for Localization in Wireless Sensor Network
20143
20 20133

About Michał Marks

Michał Marks is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 31 papers that have together received 354 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (14 papers), Indoor and Outdoor Localization Technologies (11 papers), Underwater Vehicles and Communication Systems (8 papers), Concrete and Cement Materials Research (3 papers), Chaos-based Image/Signal Encryption (3 papers), IoT and Edge/Fog Computing (3 papers), Bluetooth and Wireless Communication Technologies (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (220 citations), Ocean Engineering (59 citations), Electrical and Electronic Engineering (136 citations), Civil and Structural Engineering (50 citations) and Artificial Intelligence (63 citations). Michał Marks has collaborated with scholars based in Poland, United States and Norway. Frequent co-authors include Ewa Niewiadomska‐Szynkiewicz, Michał A. Glinicki, Niranjan Suri, Christoph Fuchs, Frank T. Johnsen, Konrad Wrona, Daria Jóźwiak–Niedźwiedzka, Jan Olek, Joanna Kołodziej and Mauro Tortonesi. Their work appears in journals such as IEEE Communications Magazine, Sensors, Materials, Journal of Materials in Civil Engineering and Simulation Modelling Practice and Theory.

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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