Jackson Liscombe

944 citations
41 papers · 634 · h-index 12

Impact in

Papers in

    • Speech and dialogue systems 26
    • Topic Modeling 9
    • Multi-Agent Systems and Negotiation 9
    • Natural Language Processing Techniques 8
    • AI in Service Interactions 6
    • Speech Recognition and Synthesis 6
    • Intelligent Tutoring Systems and Adaptive Learning 4
    • Emotion and Mood Recognition 4

Jackson Liscombe

39 papers receiving 560 citations

Peers

Jackson Liscombe
Comparison fields: 5 of 55
  • Experimental and Cognitive Psychology 260
  • Artificial Intelligence 456
  • Signal Processing 93
  • Social Psychology 110
  • Human-Computer Interaction 32
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Citations per field
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Citations per year

Countries citing papers authored by Jackson Liscombe

Since Specialization
Citations

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

Fields of papers citing papers by Jackson Liscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200581
2 200378
3 200576
4 200374
5 200561
6 200931
7 200926
8
Prosody and speaker state: paralinguistics, pragmatics, and proficiency
200721
9 200820
10 200817
11 201012
12 200911
13 201910
14 200610
15 20069
16 20068
17 20098
18
How to drink from a fire hose: one person can annoscribe 693 thousand utterances in one month
20107
19 20107
20 20086

About Jackson Liscombe

Jackson Liscombe is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Neurology, Cognitive Neuroscience and Signal Processing, having authored 41 papers that have together received 634 indexed citations. Recurring topics across this work include Speech and dialogue systems (26 papers), Topic Modeling (9 papers), Multi-Agent Systems and Negotiation (9 papers), Natural Language Processing Techniques (8 papers), AI in Service Interactions (6 papers), Speech Recognition and Synthesis (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (260 citations), Artificial Intelligence (456 citations), Signal Processing (93 citations), Social Psychology (110 citations) and Human-Computer Interaction (32 citations). Jackson Liscombe has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Julia Hirschberg, Jennifer J. Venditti, Dilek Hakkani‐Tür, Giuseppe Riccardi, David Suendermann, Roberto Pieraccini, Keelan Evanini, Alexander Schmitt, Alexander Schmitt and Wolfgang Minker. Their work appears in journals such as Language Resources and Evaluation, Journal of Speech Language and Hearing Research, Lecture notes in computer science, Conference of the International Speech Communication Association and Columbia Academic Commons (Columbia University).

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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