David I. Inouye

431 total citations
14 papers, 204 citations indexed

About

David I. Inouye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, David I. Inouye has authored 14 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in David I. Inouye's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). David I. Inouye is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). David I. Inouye collaborates with scholars based in United States and South Korea. David I. Inouye's co-authors include Jugal Kalita, Pradeep Ravikumar, Inderjit S. Dhillon, Silvia S. Blemker, Saurabh Bagchi, Genevera I. Allen, Eunho Yang, Cheng-Yu Hsieh, Pradeep Ravikumar and Chih‐Kuan Yeh and has published in prestigious journals such as The Journal of the Acoustical Society of America, The Computer Journal and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

David I. Inouye

13 papers receiving 195 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David I. Inouye United States	6	147	70	54	18	14	14	204
Nicholas Andrews United States	8	195 1.3×	64 0.9×	23 0.4×	27 1.5×	19 1.4×	21	235
Yaser Keneshloo United States	4	140 1.0×	39 0.6×	37 0.7×	16 0.9×	8 0.6×	5	190
Canhui Wang China	5	114 0.8×	88 1.3×	54 1.0×	19 1.1×	7 0.5×	8	174
Rushin Shah United States	6	328 2.2×	64 0.9×	45 0.8×	74 4.1×	11 0.8×	11	373
Baoyu Jing United States	10	227 1.5×	42 0.6×	37 0.7×	31 1.7×	18 1.3×	18	276
Rianne Kaptein Netherlands	10	170 1.2×	116 1.7×	13 0.2×	18 1.0×	10 0.7×	29	219
Martin Atkinson Italy	6	92 0.6×	42 0.6×	21 0.4×	30 1.7×	6 0.4×	17	133
Tyler Neylon United States	4	407 2.8×	69 1.0×	24 0.4×	11 0.6×	9 0.6×	7	436
Matthias Broecheler United States	5	121 0.8×	29 0.4×	46 0.9×	27 1.5×	15 1.1×	7	171

Countries citing papers authored by David I. Inouye

Since Specialization

Citations

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

Fields of papers citing papers by David I. Inouye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David I. Inouye. 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 David I. Inouye. The network helps show where David I. Inouye may publish in the future.

Co-authorship network of co-authors of David I. Inouye

This figure shows the co-authorship network connecting the top 25 collaborators of David I. Inouye. A scholar is included among the top collaborators of David I. Inouye 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 David I. Inouye. David I. Inouye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Waytowich, Nicholas R., et al.. (2023). StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. 22004–22013.

Bagchi, Saurabh, et al.. (2021). Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. arXiv (Cornell University). 33. 19523–19533. 2 indexed citations

Wang, Rui, Xiaoqian Wang, & David I. Inouye. (2021). Shapley Explanation Networks. arXiv (Cornell University). 1 indexed citations

Inouye, David I., et al.. (2019). Diagnostic Curves for Black Box Models.. arXiv (Cornell University). 1 indexed citations

Yeh, Chih‐Kuan, et al.. (2019). How Sensitive are Sensitivity-Based Explanations?. 5 indexed citations

Inouye, David I., Eunho Yang, Genevera I. Allen, & Pradeep Ravikumar. (2017). A review of multivariate distributions for count data derived from the Poisson distribution. Wiley Interdisciplinary Reviews Computational Statistics. 9(3). 3 indexed citations

Inouye, David I., Pradeep Ravikumar, & Inderjit S. Dhillon. (2016). Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.. PubMed. 48. 2445–2453. 9 indexed citations

Inouye, David I., Pradeep Ravikumar, & Inderjit S. Dhillon. (2015). Fixed-length Poisson MRF: adding dependencies to the Multinomial. Neural Information Processing Systems. 28. 3213–3221. 3 indexed citations

Inouye, David I., Pradeep Ravikumar, & Inderjit S. Dhillon. (2014). Admixture of Poisson MRFs: A Topic Model with Word Dependencies. International Conference on Machine Learning. 683–691. 14 indexed citations

10.

Inouye, David I., Pradeep Ravikumar, & Inderjit S. Dhillon. (2014). Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs. Neural Information Processing Systems. 27. 3158–3166. 4 indexed citations

11.

Blemker, Silvia S., et al.. (2014). Towards undistorted and noise-free speech in an MRI scanner: Correlation subtraction followed by spectral noise gating. The Journal of the Acoustical Society of America. 135(3). 1019–1022. 12 indexed citations

12.

Inouye, David I., et al.. (2013). Summarization of Twitter Microblogs. The Computer Journal. 57(3). 378–402. 25 indexed citations

13.

Choo, Jaegul, Changhyun Lee, Edward Clarkson, et al.. (2013). VisIRR: Interactive Visual Information Retrieval and Recommendation for Large-scale Document Data. SMARTech Repository (Georgia Institute of Technology). 6 indexed citations

14.

Inouye, David I. & Jugal Kalita. (2011). Comparing Twitter Summarization Algorithms for Multiple Post Summaries. 298–306. 119 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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