Arjen Markus

534 citations
18 papers · 433 · h-index 6

Impact in

Papers in

Arjen Markus

14 papers receiving 412 citations

Peers

Arjen Markus
Comparison fields: 5 of 78
  • Water Science and Technology 211
  • Waste Management and Disposal 48
  • Pollution 49
  • Health, Toxicology and Mutagenesis 49
  • Hardware and Architecture 26
Replace Alok Garg with:
Alok Garg India
Hye-Jin Kim South Korea
Kunyuan Liu China
Sharifuddin Mohd. Zain Malaysia
Fulbert Togue Kamga Cameroon
Neda Javid Iran
Mohe Zhang China
Ping Xia China
Arjen Markus relative to Alok Garg India Alok Garg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arjen Markus

Since Specialization
Citations

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

Fields of papers citing papers by Arjen Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2016306
2 202038
3 201216
4 202214
5 200612
6 202411
7 19926
8 20086
9 20035
10
19974
11 20014
12
19963
13 20042
14 20122
15 20021
16 20041
17 20051
18 20081

About Arjen Markus

Arjen Markus is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications, Software and Artificial Intelligence, having authored 18 papers that have together received 433 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Numerical Methods and Algorithms (3 papers), Distributed and Parallel Computing Systems (3 papers), Computational Physics and Python Applications (2 papers), Model-Driven Software Engineering Techniques (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Advanced Database Systems and Queries (2 papers) and Water Quality and Pollution Assessment (1 paper). The work is most often cited by research in Water Science and Technology (211 citations), Waste Management and Disposal (48 citations), Pollution (49 citations), Health, Toxicology and Mutagenesis (49 citations) and Hardware and Architecture (26 citations). Arjen Markus has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Maurizio Giugni, Luciana Dini, Ravindra Kumar Gautam, Giusy Lofrano, Maurizio Carotenuto, Marco Rossi, Daniela Baldantoni, Rute F. Domingos, Sanjay Sharma and Giovanni Libralato. Their work appears in journals such as Integrated Environmental Assessment and Management, Computing in Science & Engineering, Journal of Hazardous Materials, Water Research and Cambridge University Press 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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