Greg Kochanski

5.5k citations
90 papers · 3.9k indexed · 1 hit paper · h-index 30

Greg Kochanski

87 papers receiving 3.7k citations

Hit Papers

Google Vizier286201720262020202350100150200250

Peers

Greg Kochanski
Comparison fields: 5 of 131
  • Linguistics and Language 231
  • Experimental and Cognitive Psychology 638
  • Structural Biology 55
  • Atomic and Molecular Physics, and Optics 1.2k
  • Materials Chemistry 1.6k
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Greg Kochanski relative to J.P. Heritage United States J.P. Heritage's profile →
Citations per field
00.5×10×13.6×
J.P. Heritage · 1×
Citations per year

Countries citing papers authored by Greg Kochanski

Since Specialization
Citations

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

Fields of papers citing papers by Greg Kochanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
20207
2 20106
3 20099
4 20063
5
ICT Tools for Searching, Annotation and Analysis of Audiovisual Media
20061
6 20051
7
Modeling Intonation: Asking for Confirmation in English
20032
8 200347
9 20031
10 200251
11
Hierarchical structure and word strength predication of Mandarin prosody.
20012
12
Synthesis of prosodic styles.
20011
13
Automated modelling of Chinese intonation in continuous speech.
20017
14 200131
15 200027
16 1995144
17 199326
18 199290
19 19911
20 1990114

About Greg Kochanski

Greg Kochanski is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Atomic and Molecular Physics, and Optics, having authored 90 papers that have together received 3.9k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (26 papers), Speech Recognition and Synthesis (22 papers), Force Microscopy Techniques and Applications (15 papers), Diamond and Carbon-based Materials Research (15 papers), Surface and Thin Film Phenomena (14 papers), Speech and dialogue systems (10 papers), Carbon Nanotubes in Composites (8 papers) and Graphene research and applications (8 papers). The work is most often cited by research in Linguistics and Language (231 citations), Experimental and Cognitive Psychology (638 citations) and Structural Biology (55 citations). Greg Kochanski has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Wei Zhu, S. Jin, Chilin Shih, Christopher A. Bower, L. Seibles, Esther Grabe, John Coleman, Sung‐Ho Jin, Otto Zhou and B. Rosner. Their work appears in journals such as The Journal of the Acoustical Society of America, Physical Review Letters, Physical review. B, Condensed matter, Science and Speech Communication.

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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