Michael Piotrowski

60 papers receiving 770 citations

Peers

Michael Piotrowski
Comparison fields: 5 of 131
  • Neuropsychology and Physiological Psychology 45
  • Computer Science Applications 89
  • Oceanography 77
  • Artificial Intelligence 214
  • Drug Discovery 1
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Citations per year

Countries citing papers authored by Michael Piotrowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Piotrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 201575
3 201273
4 201269
5 201265
6 200644
7 198941
8 201034
9 198934
10 201233
11 199129
12 201623
13 200622
14
Subword segmentation--leveling out morphological variations for medical document retrieval.
200122
15 201720
16 201315
17 201813
18
Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids
201012
19 20099
20 20089

About Michael Piotrowski

Michael Piotrowski is a scholar working on Artificial Intelligence, Literature and Literary Theory, Education, Information Systems and Computer Science Applications, having authored 70 papers that have together received 880 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Digital Humanities and Scholarship (10 papers), Open Education and E-Learning (9 papers), Writing and Handwriting Education (5 papers), Semantic Web and Ontologies (5 papers), Software Engineering Research (5 papers), Microbial Community Ecology and Physiology (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (45 citations), Computer Science Applications (89 citations), Oceanography (77 citations), Artificial Intelligence (214 citations) and Drug Discovery (1 citation). Michael Piotrowski has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Janet L. Barnes-Farrell, Linda E. Graham, Dietmar Rösner, James M. Graham, Jennifer J. Knack, Erica B. Young, Shahrizim Zulkifly, Robert J. Mayer, Lee W. Wilcox and Martha E. Cook. Their work appears in journals such as Synthesis lectures on human language technologies, International Journal of Plant Sciences, Journal of Phycology, Journal of Applied Psychology and Psychology and Aging.

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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