Nash Borges

2.3k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Nash Borges is a scholar working on Artificial Intelligence, Signal Processing and Civil and Structural Engineering. According to data from OpenAlex, Nash Borges has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Civil and Structural Engineering. Recurrent topics in Nash Borges's work include Anomaly Detection Techniques and Applications (4 papers), Speech and Audio Processing (3 papers) and Linguistic Variation and Morphology (2 papers). Nash Borges is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Speech and Audio Processing (3 papers) and Linguistic Variation and Morphology (2 papers). Nash Borges collaborates with scholars based in United States and United Kingdom. Nash Borges's co-authors include Simon King, Joe Frankel, Özgür Çetin, Mathew Magimai.-Doss, Karen Livescu, Xuemin Chi, Luc Lavoie, Allen L. Gorin, Kate Saenko and Stephen Dawson-Haggerty and has published in prestigious journals such as Computer Speech & Language and Edinburgh Research Explorer.

In The Last Decade

Nash Borges

9 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007)

2007 1.6k citations Karen Livescu, Nash Borges et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nash Borges United States	6	669	593	527	221	190	9	1.7k
Özgür Çetin United States	12	919 1.4×	780 1.3×	549 1.0×	228 1.0×	185 1.0×	27	2.0k
Xuemin Chi China	7	638 1.0×	575 1.0×	551 1.0×	226 1.0×	189 1.0×	14	1.8k
Jhing-Fa Wang Taiwan	23	717 1.1×	921 1.6×	1.0k 1.9×	231 1.0×	205 1.1×	233	2.3k
Héctor Pérez-Meana Mexico	24	417 0.6×	549 0.9×	1.1k 2.1×	183 0.8×	170 0.9×	247	2.2k
Ashok Krishnamurthy United States	19	921 1.4×	498 0.8×	551 1.0×	116 0.5×	95 0.5×	100	2.0k
Joe Frankel United Kingdom	18	1.3k 2.0×	1.1k 1.9×	571 1.1×	229 1.0×	191 1.0×	38	2.5k
Pascal Lamblin Canada	7	831 1.2×	282 0.5×	742 1.4×	154 0.7×	95 0.5×	9	1.9k
Gernot A. Fink Germany	29	1.1k 1.7×	613 1.0×	1.8k 3.4×	260 1.2×	126 0.7×	174	2.9k
Peder A. Olsen United States	20	1.1k 1.6×	848 1.4×	429 0.8×	95 0.4×	82 0.4×	82	1.9k
Franz Pernkopf Austria	24	735 1.1×	794 1.3×	427 0.8×	110 0.5×	54 0.3×	165	2.0k

Countries citing papers authored by Nash Borges

Since Specialization

Citations

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

Fields of papers citing papers by Nash Borges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nash Borges

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Gorin, Allen L., et al.. (2011). Social correlates of turn-taking style. Computer Speech & Language. 25(4). 789–801. 10 indexed citations

2.

Borges, Nash, et al.. (2011). Anomaly detection for random graphs using distributions of vertex invariants. 21. 1–6. 5 indexed citations

3.

Borges, Nash, et al.. (2009). Coping with training contamination in unsupervised distributional anomaly detection. 264–269. 1 indexed citations

4.

Gorin, Allen L., et al.. (2009). Social correlates of turn-taking behavior. 30. 4745–4748. 12 indexed citations

5.

Borges, Nash, et al.. (2009). Trimmed KL divergence between Gaussian mixtures for robust unsupervised acoustic anomaly detection. 2555–2558. 1 indexed citations

6.

Borges, Nash, et al.. (2008). Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector. 950–955. 9 indexed citations

7.

Livescu, Karen, Nash Borges, Özgür Çetin, et al.. (2007). Manual Transcription of Conversational Speech at the Articulatory Feature Level. Edinburgh Research Explorer. IV–953. 10 indexed citations

8.

Livescu, Karen, Nash Borges, Özgür Çetin, et al.. (2007). Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007). 1622 indexed citations breakdown →

9.

Livescu, Karen, Özgür Çetin, Mark Hasegawa‐Johnson, et al.. (2007). Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. Edinburgh Research Explorer. IV–621. 72 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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