Science Explorer Back to mapMap
Discussion
Researcher · BT Research · United Kingdom

Mark Pawlewski

Mark Pawlewski publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Natural Language Processing Techniques.

OpenAlex
World rank
#3,900,082
of 7,710,434 ranked researchers
Rank in United Kingdom
#250,939
of 367,258
Works
21
Citations
267
Citations per work
12.7
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Mark Pawlewski

What does Mark Pawlewski research?

Mark Pawlewski's work is mostly in Computer Science (90%), Engineering (6%), Psychology (2%).

Physical Sciences: 20 works · 96.0% of their workComputer Science: 19 works · 89.7% of their workArtificial Intelligence: 9 works · 43.8% of their workSignal Processing: 6 works · 27.1% of their workComputer Vision and Pattern Recognition: 4 works · 18.8% of their workEngineering: 1 works · 6.3% of their workMedia Technology: 1 works · 4.2% of their workControl and Systems Engineering: 0 works · 2.1% of their workSocial Sciences: 0 works · 2.1% of their workPsychology: 0 works · 2.1% of their workClinical Psychology: 0 works · 2.1% of their workTHEIR WORKMark Pawlewski21works
Physical Sciences96%Social Sciences2%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1989.7%
    2. Engineering16.3%
    1. Psychology02.1%
  1. 1Artificial Intelligence44% of their works
  2. 2Signal Processing27% of their works
  3. 3Computer Vision and Pattern Recognition19% of their works
  4. 4Media Technology4% of their works
  5. 5Control and Systems Engineering2% of their works
  6. 6Clinical Psychology2% of their works

Research topics

Which keywords describe Mark Pawlewski's research?

The keywords of their largest research topics: Convolutional Neural Networks, Acoustic Modeling, Deep Learning, Deep Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement, Neural Machine Translation and Statistical Machine Translation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Convolutional Neural Networks172 topics
  2. Acoustic Modeling141 topic
  3. Deep Learning143 topics
  4. Deep Neural Networks141 topic
  5. Audio-Visual Speech Recognition91 topic
  6. Speech Enhancement91 topic
  7. Neural Machine Translation41 topic
  8. Statistical Machine Translation41 topic
  9. Audio Signal Classification31 topic
  10. Music Information Retrieval31 topic
  11. Content-Based Retrieval21 topic
  12. Dimensionality Reduction21 topic
  13. Face Recognition21 topic
  14. Feature Matching21 topic
  15. Local Descriptors21 topic
  16. Markov Decision Processes21 topic
  17. Spoken Dialogue Systems21 topic
  18. Video Summarization21 topic

Where does Mark Pawlewski work?

Mark Pawlewski's main affiliation in the publication record is BT Research, United Kingdom.

How many publications and citations does Mark Pawlewski have?

OpenAlex counts 21 works and 267 citations for Mark Pawlewski, an h-index of 7, ranking #3,900,082 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Mark Pawlewski. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.