Charles Jankowski

508 citations
11 papers · 283 · h-index 7

Impact in

Papers in

    • Speech Recognition and Synthesis 9
    • Natural Language Processing Techniques 2
    • Topic Modeling 2
    • Speech and Audio Processing 8
    • Music and Audio Processing 6
    • Blind Source Separation Techniques 1

Charles Jankowski

10 papers receiving 247 citations

Peers

Charles Jankowski
Comparison fields: 5 of 34
  • Signal Processing 245
  • Artificial Intelligence 218
  • Experimental and Cognitive Psychology 26
  • Computer Vision and Pattern Recognition 37
  • Developmental Biology 3
Replace Brian A. Hanson with:
Brian A. Hanson United States
Sacha Krstulović France
Yanhua Long China
Shabnam Ghaffarzadegan United States
Ulpu Remes Finland
Biing-Hwang Juang United States
Murat Akbacak United States
Sunil Sivadas Singapore
Tatsuo Matsuoka Japan
Olli Viikki Finland
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Citations per field
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Citations per year

Countries citing papers authored by Charles Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Charles Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Charles Jankowski, 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 Charles Jankowski Line = papers co-authored together Charles Jankowski links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2002120
2 199585
3 200232
4 200211
5 20199
6 19947
7 20237
8 20025
9 19924
10 20022
11 19901

About Charles Jankowski

Charles Jankowski is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Linguistics and Language and Experimental and Cognitive Psychology, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Multimodal Machine Learning Applications (1 paper), Linguistic Variation and Morphology (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Signal Processing (245 citations), Artificial Intelligence (218 citations), Experimental and Cognitive Psychology (26 citations), Computer Vision and Pattern Recognition (37 citations) and Developmental Biology (3 citations). Charles Jankowski has collaborated with scholars based in United States and China. Frequent co-authors include Richard P. Lippmann, Sara Basson, Thomas F. Quatieri, D.A. Reynolds, Ruixi Lin, Eric Chang, Charles G. Costello, Deqing Yang, Jiangjie Chen and Yanghua Xiao. Their work appears in journals such as IEEE Signal Processing Letters, The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing, DSpace@MIT (Massachusetts Institute of Technology) and International Conference on Acoustics, Speech, and Signal Processing.

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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