Michal E. Ptaszynski

2.1k citations
144 papers · 1.4k · h-index 21

Impact in

Papers in

Michal E. Ptaszynski

122 papers receiving 1.4k citations

Peers

Michal E. Ptaszynski
Comparison fields: 5 of 79
  • Artificial Intelligence 949
  • Experimental and Cognitive Psychology 155
  • Human-Computer Interaction 55
  • Social Psychology 137
  • Health Information Management 26
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Citations per year

Countries citing papers authored by Michal E. Ptaszynski

Since Specialization
Citations

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

Fields of papers citing papers by Michal E. Ptaszynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michal E. Ptaszynski. 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 Michal E. Ptaszynski. The network helps show where Michal E. Ptaszynski may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023108
2 202182
3 202267
4 202064
5
Towards context aware emotional intelligence in machines: computing contextual appropriateness of affective states
200954
6 202353
7 202450
8 201045
9 201641
10 202337
11 202135
12 200930
13 200826
14 201326
15 201326
16 202226
17 201023
18 202323
19 200922
20
Learning Deep on Cyberbullying is Always Better Than Brute Force.
201722

About Michal E. Ptaszynski

Michal E. Ptaszynski is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Social Psychology, Human-Computer Interaction and Orthopedics and Sports Medicine, having authored 144 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (40 papers), Hate Speech and Cyberbullying Detection (26 papers), Natural Language Processing Techniques (24 papers), Emotion and Mood Recognition (23 papers), Speech and dialogue systems (18 papers), Humor Studies and Applications (12 papers), Topic Modeling (10 papers) and Sports Analytics and Performance (5 papers). The work is most often cited by research in Artificial Intelligence (949 citations), Experimental and Cognitive Psychology (155 citations), Human-Computer Interaction (55 citations), Social Psychology (137 citations) and Health Information Management (26 citations). Michal E. Ptaszynski has collaborated with scholars based in Japan, Poland and Bangladesh. Frequent co-authors include Fumito Masui, Rafał Rzepka, Kenji Araki, Tanjim Mahmud, Paweł Dybała, Kenji Araki, Karl Andersson, Koushick Barua, Mohammad Shahadat Hossain and Da Li. Their work appears in journals such as Information Processing & Management, Applied Sciences, Cognitive Systems Research, Expert Systems with Applications and Electronics.

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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