Behnam Hedayatnia

1.7k total citations
22 papers, 356 citations indexed

About

Behnam Hedayatnia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Behnam Hedayatnia has authored 22 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Communication. Recurrent topics in Behnam Hedayatnia's work include Topic Modeling (19 papers), Speech and dialogue systems (14 papers) and Natural Language Processing Techniques (12 papers). Behnam Hedayatnia is often cited by papers focused on Topic Modeling (19 papers), Speech and dialogue systems (14 papers) and Natural Language Processing Techniques (12 papers). Behnam Hedayatnia collaborates with scholars based in United States, Germany and Taiwan. Behnam Hedayatnia's co-authors include Dilek Hakkani‐Tür, Karthik Gopalakrishnan, Raefer Gabriel, Anu Venkatesh, Yang Liu, Chandra Khatri, Seokhwan Kim, Rohit Prasad, Ashwin Ram and Pei Zhou and has published in prestigious journals such as Scientific Reports, AI Magazine and arXiv (Cornell University).

In The Last Decade

Behnam Hedayatnia

20 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Behnam Hedayatnia United States	10	295	47	23	23	22	22	356
Jérémie Clos United Kingdom	7	102 0.3×	30 0.6×	22 1.0×	14 0.6×	14 0.6×	27	228
Michiel de Jong United States	7	116 0.4×	29 0.6×	6 0.3×	15 0.7×	8 0.4×	11	215
Chloé Kiddon United States	6	239 0.8×	85 1.8×	7 0.3×	30 1.3×	15 0.7×	8	301
Xiaofang Zhao China	10	138 0.5×	45 1.0×	15 0.7×	6 0.3×	8 0.4×	29	227
Chengfeng Mao United States	3	291 1.0×	102 2.2×	3 0.1×	20 0.9×	7 0.3×	4	367
Ondřej Dušek Czechia	12	396 1.3×	66 1.4×	2 0.1×	18 0.8×	33 1.5×	62	443
Kazutaka Shimada Japan	9	150 0.5×	42 0.9×	13 0.6×	8 0.3×	8 0.4×	50	216
Daniel Fried United States	9	207 0.7×	103 2.2×	3 0.1×	9 0.4×	12 0.5×	19	295
Shengqiong Wu China	12	395 1.3×	75 1.6×	2 0.1×	13 0.6×	18 0.8×	28	470
Ramin Halavati Iran	6	91 0.3×	33 0.7×	14 0.6×	5 0.2×	8 0.4×	26	123

Countries citing papers authored by Behnam Hedayatnia

Since Specialization

Citations

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

Fields of papers citing papers by Behnam Hedayatnia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnam Hedayatnia

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

All Works

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20 of 20 papers shown

Liu, Sijia, Patrick Lange, Behnam Hedayatnia, et al.. (2023). Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13264–13272. 1 indexed citations

Gupta, Prakhar, Yang Liu, Di Jin, et al.. (2023). DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. 14031–14047.

Ghazarian, Sarik, Behnam Hedayatnia, Di Jin, et al.. (2023). MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems. 615–631.

Zhao, Chao, Spandana Gella, Seokhwan Kim, et al.. (2023). “What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge. 309–323. 2 indexed citations

Ghazarian, Sarik, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, & Dilek Hakkani‐Tür. (2022). What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation. Findings of the Association for Computational Linguistics: ACL 2022. 4194–4204. 11 indexed citations

Hedayatnia, Behnam, Di Jin, Yang Liu, & Dilek Hakkani‐Tür. (2022). A Systematic Evaluation of Response Selection for Open Domain Dialogue. 298–311. 2 indexed citations

Zhou, Pei, Karthik Gopalakrishnan, Behnam Hedayatnia, et al.. (2021). Commonsense-Focused Dialogues for Response Generation: An Empirical Study. 121–132. 15 indexed citations

Eric, Mihail, et al.. (2021). Multi-Sentence Knowledge Selection in Open-Domain Dialogue. 76–86. 8 indexed citations

Zhou, Pei, Behnam Hedayatnia, Karthik Gopalakrishnan, et al.. (2021). Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk. 251–253. 4 indexed citations

10.

Kim, Seokhwan, Yang Liu, Di Jin, et al.. (2021). “How Robust R U?”: Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. 1147–1154. 8 indexed citations

11.

Hedayatnia, Behnam, Karthik Gopalakrishnan, Seokhwan Kim, et al.. (2020). Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems. arXiv (Cornell University). 412–421. 2 indexed citations

12.

Kim, Seokhwan, Mihail Eric, Karthik Gopalakrishnan, et al.. (2020). Beyond Domain APIs: Task-oriented conversational modeling with unstructured knowledge access. arXiv (Cornell University). 278–289. 4 indexed citations

13.

Liu, Yang, et al.. (2020). Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks. 74–79. 21 indexed citations

14.

Hedayatnia, Behnam, Karthik Gopalakrishnan, Seokhwan Kim, et al.. (2020). Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems. 412–421. 15 indexed citations

15.

Gabriel, Raefer, Yang Liu, Mihail Eric, et al.. (2020). Further advances in open domain dialog systems in the Third Alexa Prize Socialbot Grand Challenge. 12 indexed citations

16.

Gopalakrishnan, Karthik, et al.. (2019). Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations. 1891–1895. 127 indexed citations

17.

Venkatesh, Anu, Chandra Khatri, Ashwin Ram, et al.. (2018). On Evaluating and Comparing Conversational Agents. arXiv (Cornell University). 24 indexed citations

18.

Khatri, Chandra, Anu Venkatesh, Behnam Hedayatnia, et al.. (2018). Alexa Prize — State of the Art in Conversational AI. AI Magazine. 39(3). 40–55. 37 indexed citations

19.

Velez, Daniel Ortiz, Hannah Mack, Julietta Jupe, et al.. (2017). Massively parallel digital high resolution melt for rapid and absolutely quantitative sequence profiling. Scientific Reports. 7(1). 42326–42326. 36 indexed citations

20.

Hedayatnia, Behnam, et al.. (2016). Determining feature extractors for unsupervised learning on satellite images. 10. 2655–2663. 7 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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