Marek Rei

1.5k citations
34 papers · 534 · h-index 11

Impact in

Papers in

Marek Rei

30 papers receiving 508 citations

Peers

Marek Rei
Comparison fields: 5 of 64
  • Artificial Intelligence 455
  • Computer Vision and Pattern Recognition 77
  • Experimental and Cognitive Psychology 47
  • Computer Science Applications 16
  • Information Systems 61
Replace Manoj Kumar Chinnakotla with:
Manoj Kumar Chinnakotla India
Dheeraj Rajagopal United States
Tristan Miller Germany
Marc Light United States
Constantin Orǎsan United Kingdom
Rao Muhammad Adeel Nawab Pakistan
Baoxun Wang China
Marianna Apidianaki France
Miguel Ángel García Cumbreras Spain
Gen Hattori Japan
Marek Rei relative to Manoj Kumar Chinnakotla India Manoj Kumar Chinnakotla's profile →
Citations per field
00.5×1.5×1.8×
Manoj Kumar Chinnakotla · 1×
Citations per year

Countries citing papers authored by Marek Rei

Since Specialization
Citations

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

Fields of papers citing papers by Marek Rei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 201854
3 201650
4 201947
5 201731
6 202226
7 202324
8 201424
9 202217
10 202013
11 201913
12 202210
13 201010
14 20229
15 20217
16 20187
17 20196
18 20194
19 20114
20 20204

About Marek Rei

Marek Rei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Strategy and Management, Experimental and Cognitive Psychology and Molecular Biology, having authored 34 papers that have together received 534 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (22 papers), Text Readability and Simplification (7 papers), Multimodal Machine Learning Applications (3 papers), Language, Metaphor, and Cognition (3 papers), Corporate Social Responsibility Reporting (3 papers), Speech and dialogue systems (2 papers) and Sustainable Supply Chain Management (2 papers). The work is most often cited by research in Artificial Intelligence (455 citations), Computer Vision and Pattern Recognition (77 citations), Experimental and Cognitive Psychology (47 citations), Computer Science Applications (16 citations) and Information Systems (61 citations). Marek Rei has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Helen Yannakoudakis, Dimitrios Alikaniotis, Ted Briscoe, Gamal Crichton, Sampo Pyysalo, Ekaterina Shutova, Verna Dankers, Zheng Yuan, Maria Barrett and Joachim Bingel. Their work appears in journals such as Nature Communications, Journal of Cleaner Production, Warwick Research Archive Portal (University of Warwick), Spiral (Imperial College London) and npj Climate Action.

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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