John Niekrasz

524 total citations
21 papers, 214 citations indexed

About

John Niekrasz is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, John Niekrasz has authored 21 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Information Systems. Recurrent topics in John Niekrasz's work include Speech and dialogue systems (13 papers), Natural Language Processing Techniques (13 papers) and Topic Modeling (10 papers). John Niekrasz is often cited by papers focused on Speech and dialogue systems (13 papers), Natural Language Processing Techniques (13 papers) and Topic Modeling (10 papers). John Niekrasz collaborates with scholars based in United States, United Kingdom and Switzerland. John Niekrasz's co-authors include Matthew Purver, Stanley Peters, Alexander Gruenstein, Johanna D. Moore, Patrick Ehlen, John Dowding, Sharareh Noorbaloochi, Dan Jurafsky, Ed Kaiser and Xiaoguang Li and has published in prestigious journals such as Planta Medica, Language Resources and Evaluation and Edinburgh Research Explorer.

In The Last Decade

John Niekrasz

21 papers receiving 178 citations

Peers

John Niekrasz

AI

SP

HI

CVPR

IS

Bradley A. Goodman United States

Masahiro Araki Japan

Hans Dybkjær Denmark

Vivek Ramavajjala United States

Helen Hastie United States

Elizabeth Hinkelman United States

K. Ries United States

Lukács László Hungary

Junji Tomita Japan

Hans-Christian Schmitz Germany

Bradley A. Goodman United States

John Niekrasz

159 ×0.9

AI

15 ×0.6

SP

13 ×0.6

HI

8 ×0.5

CVPR

21 ×1.5

IS

Citations per year, relative to John Niekrasz John Niekrasz (= 1×) peers Bradley A. Goodman

Countries citing papers authored by John Niekrasz

Since Specialization

Citations

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

Fields of papers citing papers by John Niekrasz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Niekrasz

This figure shows the co-authorship network connecting the top 25 collaborators of John Niekrasz. A scholar is included among the top collaborators of John Niekrasz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Niekrasz. John Niekrasz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Bai, Fan, Alan Ritter, Peter B. Madrid, Dayne Freitag, & John Niekrasz. (2022). SynKB: Semantic Search for Synthetic Procedures. 311–318. 3 indexed citations

2.

Freitag, Dayne & John Niekrasz. (2016). Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses. 36–45. 1 indexed citations

3.

Grover, Shuchi, Marie Bienkowski, John Niekrasz, & Matthias Hauswirth. (2016). Assessing Problem-Solving Process At Scale. 245–248. 10 indexed citations

4.

Yeh, Eric, John Niekrasz, & Dayne Freitag. (2013). Unsupervised discovery and extraction of semi-structured regions in text via self-information. 103–108. 1 indexed citations

5.

Niekrasz, John & Johanna D. Moore. (2010). Annotating Participant Reference in English Spoken Conversation. 256–264. 1 indexed citations

6.

Niekrasz, John & Johanna D. Moore. (2009). Participant subjectivity and involvement as a basis for discourse segmentation. Edinburgh Research Explorer. 54–61. 4 indexed citations

7.

Niekrasz, John & Johanna D. Moore. (2009). Proceedings of the SIGDIAL 2009 Conference. 14 indexed citations

8.

Ehlen, Patrick, et al.. (2008). Meeting adjourned. 276–284. 16 indexed citations

9.

Purver, Matthew, John Dowding, John Niekrasz, et al.. (2007). Detecting and Summarizing Action Items in Multi-Party Dialogue. 18–25. 35 indexed citations

10.

Ehlen, Patrick, Matthew Purver, & John Niekrasz. (2007). A Meeting Browser that Learns.. National Conference on Artificial Intelligence. 33–40. 7 indexed citations

11.

Niekrasz, John, et al.. (2007). Resolving “You” in Multi-Party Dialog. 227–230. 18 indexed citations

12.

Niekrasz, John & Alexander Gruenstein. (2006). NOMOS: A Semantic Web Software Framework for Annotation of Multimodal Corpora.. Language Resources and Evaluation. 493–498. 7 indexed citations

13.

Purver, Matthew, Patrick Ehlen, & John Niekrasz. (2006). Shallow discourse structure for action item detection. 31–34. 5 indexed citations

14.

Niekrasz, John, Matthew Purver, John Dowding, & Stanley Peters. (2005). Ontology-Based Discourse Understanding for a Persistent Meeting Assistant.. National Conference on Artificial Intelligence. 26–33. 18 indexed citations

15.

Niekrasz, John & Matthew Purver. (2005). A Multimodal Discourse Ontology for Meeting Understanding. 1 indexed citations

16.

Purver, Matthew, John Niekrasz, & Stanley Peters. (2005). Ontology-Based Multi-Party Meeting Understanding∗. Planta Medica. 80(7). 590–8. 3 indexed citations

17.

Gruenstein, Alexander, John Niekrasz, & Matthew Purver. (2005). Meeting Structure Annotation: Data and Tools. 117–127. 24 indexed citations

18.

Niekrasz, John, Alexander Gruenstein, & Lawrence Cavedon. (2004). Multi-human dialogue understanding for assisting artifact-producing meetings. 432–es. 2 indexed citations

19.

Shriberg, Elizabeth, Fuliang Weng, Stanley Peters, et al.. (2004). A wizard of oz framework for collecting spoken human-computer dialogs. 2269–2272. 13 indexed citations

20.

Kaiser, Ed, David Demirdjian, Alexander Gruenstein, et al.. (2004). A multimodal learning interface for sketch, speak and point creation of a schedule chart. 43. 329–330. 23 indexed citations

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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