Cigdem Turan

578 total citations · 1 hit paper
11 papers, 347 citations indexed

About

Cigdem Turan is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Cigdem Turan has authored 11 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Experimental and Cognitive Psychology and 3 papers in Cognitive Neuroscience. Recurrent topics in Cigdem Turan's work include Emotion and Mood Recognition (7 papers), Face and Expression Recognition (6 papers) and Speech and Audio Processing (2 papers). Cigdem Turan is often cited by papers focused on Emotion and Mood Recognition (7 papers), Face and Expression Recognition (6 papers) and Speech and Audio Processing (2 papers). Cigdem Turan collaborates with scholars based in Hong Kong, Germany and Türkiye. Cigdem Turan's co-authors include Kin‐Man Lam, Kristian Kersting, Patrick Schramowski, Constantin A. Rothkopf, Zafer Aydın, Çiğdem Eroğlu Erdem, Xiangjian He, Rui Zhao, Dorothea Koert and Jan Peters and has published in prestigious journals such as Multimedia Tools and Applications, IEEE Transactions on Affective Computing and Nature Machine Intelligence.

In The Last Decade

Cigdem Turan

11 papers receiving 338 citations

Hit Papers

align trajectories sort by overperformance

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.

Large pre-trained language models contain human-like biases of what is right and wrong to do

2022 170 citations Patrick Schramowski, Cigdem Turan et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cigdem Turan Hong Kong	8	126	111	101	44	36	11	347
Dominik Schiller Germany	10	58 0.5×	165 1.5×	49 0.5×	27 0.6×	72 2.0×	25	331
Pierre-Yves Oudeyer France	8	55 0.4×	97 0.9×	26 0.3×	20 0.5×	24 0.7×	22	243
Hwaran Lee South Korea	9	125 1.0×	136 1.2×	69 0.7×	17 0.4×	8 0.2×	27	320
Hrafn Loftsson Iceland	11	35 0.3×	497 4.5×	55 0.5×	19 0.4×	35 1.0×	39	641
Emiel van Miltenburg Netherlands	11	133 1.1×	386 3.5×	25 0.2×	26 0.6×	16 0.4×	29	494
Dan Iter United States	7	58 0.5×	294 2.6×	24 0.2×	32 0.7×	15 0.4×	16	476
Kiavash Bahreini Netherlands	8	67 0.5×	121 1.1×	124 1.2×	39 0.9×	31 0.9×	16	318
Justyna Sarzyńska‐Wawer Poland	7	35 0.3×	148 1.3×	22 0.2×	45 1.0×	41 1.1×	17	297
Shoaib Jameel United Kingdom	11	44 0.3×	331 3.0×	64 0.6×	18 0.4×	164 4.6×	53	515
Sophie J. Nightingale United Kingdom	7	154 1.2×	55 0.5×	25 0.2×	80 1.8×	28 0.8×	14	333

Countries citing papers authored by Cigdem Turan

Since Specialization

Citations

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

Fields of papers citing papers by Cigdem Turan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cigdem Turan

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

11 of 11 papers shown

1.

Koert, Dorothea, et al.. (2022). ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers in Robotics and AI. 8. 730317–730317. 8 indexed citations

2.

Schramowski, Patrick, et al.. (2022). Large pre-trained language models contain human-like biases of what is right and wrong to do. Nature Machine Intelligence. 4(3). 258–268. 170 indexed citations breakdown →

3.

Turan, Cigdem, et al.. (2022). Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning. 895–902. 3 indexed citations

4.

Turan, Cigdem, Rui Zhao, Kin‐Man Lam, & Xiangjian He. (2021). Subspace learning for facial expression recognition: an overview and a new perspective. APSIPA Transactions on Signal and Information Processing. 10(1). 8 indexed citations

5.

Schramowski, Patrick, et al.. (2020). The Moral Choice Machine. Frontiers in Artificial Intelligence. 3. 36–36. 16 indexed citations

6.

Turan, Cigdem, et al.. (2019). Facial Expressions of Comprehension (FEC). IEEE Transactions on Affective Computing. 13(1). 335–346. 6 indexed citations

7.

Turan, Cigdem & Kin‐Man Lam. (2018). Histogram-based local descriptors for facial expression recognition (FER): A comprehensive study. Journal of Visual Communication and Image Representation. 55. 331–341. 72 indexed citations

8.

Turan, Cigdem, Kin‐Man Lam, & Xiangjian He. (2015). Facial expression recognition with emotion-based feature fusion. 1–6. 15 indexed citations

9.

Erdem, Çiğdem Eroğlu, Cigdem Turan, & Zafer Aydın. (2014). BAUM-2: a multilingual audio-visual affective face database. Multimedia Tools and Applications. 74(18). 7429–7459. 40 indexed citations

10.

Turan, Cigdem & Kin‐Man Lam. (2014). Region-based feature fusion for facial-expression recognition. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 5966–5970. 8 indexed citations

11.

Turan, Cigdem, et al.. (2013). A method for extraction of affective audio-visual facial clips from movies. 9. 1–4. 1 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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