Doğan Can

1.4k citations
31 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

    • Speech Recognition and Synthesis 15
    • Natural Language Processing Techniques 5
    • Sentiment Analysis and Opinion Mining 4
    • Speech and dialogue systems 3
    • Mental Health via Writing 7

Doğan Can

30 papers receiving 1k citations

Doğan Can's Hit Papers

A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle 2012 · 412 citations
4120+4+9Years since publication100200300400

Peers

Doğan Can
Comparison fields: 5 of 79
  • Artificial Intelligence 738
  • Applied Psychology 57
  • General Social Sciences 42
  • Experimental and Cognitive Psychology 117
  • Social Psychology 114
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Doğan Can relative to Stephen Wan Australia Stephen Wan's profile →
Citations per field
00.5×2×3×4×4.8×
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle
Hit paper breakdown →
2012412
2 2011109
3 200980
4 201650
5 200944
6
Analyzing the Language of Therapist Empathy in Motivational Interview based Psychotherapy.
201241
7 201641
8
Which ASR should I choose for my dialogue system
201339
9 201635
10 201230
11 201626
12 201424
13 201524
14 201821
15 201715
16 201815
17 201813
18 202012
19 200911
20 20197

About Doğan Can

Doğan Can is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Epidemiology and Psychiatry and Mental health, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Mental Health via Writing (7 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Substance Abuse Treatment and Outcomes (4 papers), Emotion and Mood Recognition (3 papers), Speech and dialogue systems (3 papers) and Empathy and Medical Education (2 papers). The work is most often cited by research in Artificial Intelligence (738 citations), Applied Psychology (57 citations), General Social Sciences (42 citations), Experimental and Cognitive Psychology (117 citations) and Social Psychology (114 citations). Doğan Can has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Shrikanth Shri Narayanan, Murat Saraçlar, François Bar, Abe Kazemzadeh, David C. Atkins, Panayiotis Georgiou, Zac E. Imel, James Gibson, Haşim Sak and Siddika Parlak. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, Machine Translation, Journal of Substance Abuse Treatment and Journal of Counseling Psychology.

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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