Greg Kochanski

89 papers receiving 3.9k citations

Greg Kochanski's Hit Papers

Google Vizier 2017 · 314 citations
3140+3+6Years since publication100200300

Peers

Greg Kochanski
Comparison fields: 5 of 129
  • Experimental and Cognitive Psychology 710
  • Linguistics and Language 261
  • Atomic and Molecular Physics, and Optics 1.3k
  • Structural Biology 59
  • Materials Chemistry 1.7k
Replace Tôru Takahashi with:
Tôru Takahashi Japan
Robert B. Jones United Kingdom
Kirsten von Bergmann Germany
Michael Wilson United Kingdom
Katharina Krischer Germany
Louis Goldstein United States
Jeong Sik Lim United States
Shigeki Takeuchi Japan
Philippe Grangier France
A. van den Bos Netherlands
Greg Kochanski relative to Tôru Takahashi Japan Tôru Takahashi's profile →
Citations per field
00.5×5×12.4×
Tôru Takahashi · 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-authors

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

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999454
2 1998358
3 2005317
4
Google Vizier
Hit paper breakdown →
2017314
5 1995253
6 1998208
7 1987190
8 1988184
9 1995148
10 1990122
11 1992103
12 199690
13 200388
14 198975
15 201168
16 199067
17 199063
18 200256
19 198956
20 200752

About Greg Kochanski

Greg Kochanski is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Experimental and Cognitive Psychology, Materials Chemistry and Signal Processing, having authored 94 papers that have together received 4.2k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (29 papers), Speech Recognition and Synthesis (24 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 (12 papers), Linguistic Variation and Morphology (8 papers) and Carbon Nanotubes in Composites (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (710 citations), Linguistics and Language (261 citations), Atomic and Molecular Physics, and Optics (1.3k citations), Structural Biology (59 citations) and Materials Chemistry (1.7k 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, Esther Grabe, John Coleman, L. Seibles, 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 Applied Physics Letters.

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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