Eda Okur

479 total citations
15 papers, 162 citations indexed

About

Eda Okur is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Eda Okur has authored 15 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 4 papers in Education. Recurrent topics in Eda Okur's work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Online Learning and Analytics (5 papers) and Speech and dialogue systems (4 papers). Eda Okur is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Online Learning and Analytics (5 papers) and Speech and dialogue systems (4 papers). Eda Okur collaborates with scholars based in United States, Türkiye and United Kingdom. Eda Okur's co-authors include Sinem Aslan, Neşe Alyüz, Cagri Tanriover, Sidney K. D’Mello, Lama Nachman, Saurav Sahay, Bert Arnrich, Arzucan Özgür, Hakan Demir and Celal Savur and has published in prestigious journals such as British Journal of Educational Technology, Educational Technology Research and Development and Computer Speech & Language.

In The Last Decade

Eda Okur

15 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eda Okur United States	8	72	66	47	35	26	15	162
Nicholas V. Mudrick United States	7	50 0.7×	48 0.7×	94 2.0×	43 1.2×	46 1.8×	11	168
Paul Salvador Inventado United States	8	71 1.0×	60 0.9×	39 0.8×	20 0.6×	17 0.7×	36	132
Sidney D’Mello United States	4	70 1.0×	143 2.2×	81 1.7×	17 0.5×	49 1.9×	5	233
Andrew Emerson United States	10	148 2.1×	89 1.3×	129 2.7×	47 1.3×	21 0.8×	17	259
Megan Wiedbusch United States	10	102 1.4×	73 1.1×	135 2.9×	63 1.8×	48 1.8×	17	263
Daryn A. Dever United States	10	105 1.5×	87 1.3×	145 3.1×	56 1.6×	38 1.5×	21	256
Raúl Oramas Bustillos Mexico	8	97 1.3×	147 2.2×	18 0.4×	27 0.8×	31 1.2×	15	236
Matthew E. Jacovina United States	10	50 0.7×	78 1.2×	141 3.0×	79 2.3×	55 2.1×	25	275
Patricia Goldberg Germany	5	37 0.5×	24 0.4×	40 0.9×	75 2.1×	46 1.8×	14	198
Wei‐Sheng Wang Taiwan	10	143 2.0×	104 1.6×	94 2.0×	68 1.9×	18 0.7×	19	281

Countries citing papers authored by Eda Okur

Since Specialization

Citations

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

Fields of papers citing papers by Eda Okur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eda Okur

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

All Works

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15 of 15 papers shown

Aslan, Sinem, et al.. (2024). Immersive multi-modal pedagogical conversational artificial intelligence for early childhood education: An exploratory case study in the wild. Computers and Education Artificial Intelligence. 6. 100220–100220. 6 indexed citations

Mazumder, Sahisnu, Wenda Chen, Eda Okur, et al.. (2023). Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. 36–43. 2 indexed citations

Aslan, Sinem, Neşe Alyüz, Eda Okur, et al.. (2023). What is the impact of a multi‐modal pedagogical conversational AI system on parents' concerns about technology use by young children?. British Journal of Educational Technology. 55(4). 1625–1650. 9 indexed citations

Aslan, Sinem, Ankur Agrawal, Neşe Alyüz, et al.. (2022). Exploring Kid Space in the wild: a preliminary study of multimodal and immersive collaborative play-based learning experiences. Educational Technology Research and Development. 70(1). 205–230. 9 indexed citations

Okur, Eda, et al.. (2022). End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics. 51–64. 4 indexed citations

Okur, Eda, et al.. (2020). Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. 55–59. 1 indexed citations

Okur, Eda, et al.. (2020). Investigating topics, audio representations and attention for multimodal scene-aware dialog. Computer Speech & Language. 64. 101102–101102. 2 indexed citations

Aslan, Sinem, et al.. (2019). Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms. 1–12. 59 indexed citations

Aslan, Sinem, et al.. (2018). Effect of emotion-aware interventions on students’ behavioral and emotional states. Educational Technology Research and Development. 66(6). 1399–1413. 8 indexed citations

10.

Aslan, Sinem, et al.. (2017). Human Expert Labeling Process (HELP): Towards a Reliable Higher-order User State Labeling Process and Tool to Assess Student Engagement. Educational Technology archive. 57(1). 53–59. 15 indexed citations

11.

Alyüz, Neşe, et al.. (2017). An unobtrusive and multimodal approach for behavioral engagement detection of students. 26–32. 14 indexed citations

12.

Aslan, Sinem, et al.. (2017). Students' emotional self-labels for personalized models. 550–551. 4 indexed citations

13.

Okur, Eda, Hakan Demir, & Arzucan Özgür. (2016). Named entity recognition on Twitter for Turkish using semi-supervised learning with word embeddings. arXiv (Cornell University). 549–555. 5 indexed citations

14.

Alyüz, Neşe, et al.. (2016). Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?. 9 indexed citations

15.

Alyüz, Neşe, et al.. (2016). Semi-supervised model personalization for improved detection of learner's emotional engagement. 100–107. 15 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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