Doğan Can

1.4k total citations · 1 hit paper
28 papers, 920 citations indexed

About

Doğan Can is a scholar working on Artificial Intelligence, Signal Processing and Applied Psychology. According to data from OpenAlex, Doğan Can has authored 28 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Signal Processing and 5 papers in Applied Psychology. Recurrent topics in Doğan Can's work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (7 papers). Doğan Can is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (7 papers). Doğan Can collaborates with scholars based in United States, Türkiye and Canada. Doğan Can's co-authors include Murat Saraçlar, Shrikanth Narayanan, François Bar, Hao Wang, Abe Kazemzadeh, Shrikanth Narayanan, David C. Atkins, Panayiotis Georgiou, Zac E. Imel and James Gibson and has published in prestigious journals such as Journal of Counseling Psychology, IEEE Signal Processing Letters and Journal of Substance Abuse Treatment.

In The Last Decade

Doğan Can

28 papers receiving 856 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.

A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle

2012 354 citations Hao Wang, Doğan Can et al. Meeting of the Association for Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doğan Can United States	14	636	178	134	111	95	28	920
Bart Desmet Belgium	17	763 1.2×	395 2.2×	131 1.0×	71 0.6×	152 1.6×	40	1.1k
Karthik Dinakar United States	10	407 0.6×	271 1.5×	110 0.8×	56 0.5×	129 1.4×	20	697
Huahai Yang United States	16	397 0.6×	117 0.7×	46 0.3×	70 0.6×	146 1.5×	31	757
Cecilia Ovesdotter Alm United States	14	703 1.1×	216 1.2×	50 0.4×	30 0.3×	123 1.3×	90	1.2k
Fidel Cacheda Spain	15	383 0.6×	162 0.9×	142 1.1×	73 0.7×	611 6.4×	58	991
Debanjan Mahata India	15	504 0.8×	87 0.5×	41 0.3×	31 0.3×	138 1.5×	38	661
Manas Gaur United States	17	390 0.6×	246 1.4×	23 0.2×	139 1.3×	94 1.0×	54	721
Björn Gambäck Norway	18	1.3k 2.1×	160 0.9×	115 0.9×	18 0.2×	250 2.6×	91	1.5k
Sean MacAvaney United Kingdom	12	526 0.8×	117 0.7×	47 0.4×	30 0.3×	163 1.7×	48	650
Stephen Wan Australia	14	626 1.0×	274 1.5×	10 0.1×	129 1.2×	153 1.6×	61	917

Countries citing papers authored by Doğan Can

Since Specialization

Citations

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

Fields of papers citing papers by Doğan Can

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doğan Can

This figure shows the co-authorship network connecting the top 25 collaborators of Doğan Can. A scholar is included among the top collaborators of Doğan Can 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 Doğan Can. Doğan Can 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:

20 of 20 papers shown

1.

Świętojański, Paweł, Stefan Braun, Doğan Can, et al.. (2023). Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. 1–5. 3 indexed citations

2.

Gibson, James, Doğan Can, Zac E. Imel, et al.. (2019). Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions. PubMed. 37. 6605–6609. 8 indexed citations

3.

Can, Doğan, et al.. (2018). A Multi-task Approach to Learning Multilingual Representations. 214–220. 13 indexed citations

4.

Gibson, James, et al.. (2018). Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. PubMed. 2018. 3413–3417. 14 indexed citations

5.

Can, Doğan, Victor R. Martínez, Pavlos Papadopoulos, & Shrikanth Narayanan. (2018). Pykaldi: A Python Wrapper for Kaldi. 5889–5893. 16 indexed citations

6.

Gibson, James, Doğan Can, Panayiotis Georgiou, David C. Atkins, & Shrikanth Narayanan. (2017). Attention Networks for Modeling Behaviors in Addiction Counseling. 3251–3255. 13 indexed citations

7.

Malandrakis, Nikolaos, et al.. (2017). The ELISA Situation Frame extraction for low resource languages pipeline for LoReHLT’2016. Machine Translation. 32(1-2). 127–142. 1 indexed citations

8.

Can, Doğan, Rebeca Marín, Panayiotis Georgiou, et al.. (2016). “It sounds like...”: A natural language processing approach to detecting counselor reflections in motivational interviewing.. Journal of Counseling Psychology. 63(3). 343–350. 45 indexed citations

9.

Gibson, James, Doğan Can, Bo Xiao, et al.. (2016). A Deep Learning Approach to Modeling Empathy in Addiction Counseling. 1447–1451. 37 indexed citations

10.

Can, Doğan & Shrikanth Narayanan. (2015). A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices. 2388–2397. 1 indexed citations

11.

Can, Doğan, et al.. (2014). Barista: A framework for concurrent speech processing by usc-sail. PubMed. 2014. 3306–3310. 5 indexed citations

12.

Lord, Sarah Peregrine, Doğan Can, Michael Yi, et al.. (2014). Advancing Methods for Reliably Assessing Motivational Interviewing Fidelity using the Motivational Interviewing Skills Code. Journal of Substance Abuse Treatment. 49. 50–57. 22 indexed citations

13.

Morbini, Fabrizio, Kartik Audhkhasi, Kenji Sagae, et al.. (2013). Which ASR should I choose for my dialogue system. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 394–403. 26 indexed citations

14.

Can, Doğan & Shrikanth Narayanan. (2013). On the computation of document frequency statistics from spoken corpora using factor automata. 6–10. 1 indexed citations

15.

Wang, Hao, Doğan Can, Abe Kazemzadeh, François Bar, & Shrikanth Narayanan. (2012). A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle. Meeting of the Association for Computational Linguistics. 115–120. 354 indexed citations breakdown →

16.

Xiao, Bo, Doğan Can, Panayiotis Georgiou, David C. Atkins, & Shrikanth Narayanan. (2012). Analyzing the Language of Therapist Empathy in Motivational Interview based Psychotherapy.. PubMed. 2012. 36 indexed citations

17.

Can, Doğan, Panayiotis Georgiou, David C. Atkins, & Shrikanth Narayanan. (2012). A case study: detecting counselor reflections in psychotherapy for addictions using linguistic features. 2254–2257. 31 indexed citations

18.

Can, Doğan & Murat Saraçlar. (2009). Score distribution based term specific thresholding for spoken term detection. 269–269. 2 indexed citations

19.

Can, Doğan, et al.. (2009). Effect of pronounciations on OOV queries in spoken term detection. 3957–3960. 46 indexed citations

20.

Can, Doğan, et al.. (2009). HMM-based sliding video text recognition for Turkish broadcast news. 2. 475–479. 5 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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