Heidar Davoudi

414 total citations
24 papers, 241 citations indexed

About

Heidar Davoudi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heidar Davoudi has authored 24 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heidar Davoudi's work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Text Analysis Techniques (5 papers). Heidar Davoudi is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Text Analysis Techniques (5 papers). Heidar Davoudi collaborates with scholars based in Canada and United States. Heidar Davoudi's co-authors include Aijun An, Morteza Zihayat, Manos Papagelis, Anteneh Ayanso, Xing Zhao, Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta, Ken Q. Pu and Mehran Ebrahimi and has published in prestigious journals such as Journal of Business Research, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.

In The Last Decade

Heidar Davoudi

20 papers receiving 232 citations

Peers

Heidar Davoudi

AI

IS

CTM

CVPR

SP

Shantanu Godbole India

Fethi Fkih Tunisia

Çiğdem Aslay Denmark

Surya Kallumadi United States

Victor E. Lee United States

Bangzuo Zhang China

Chad Cumby Switzerland

Anmol Bhasin United States

Damir Vandić Netherlands

Jiankai Sun United States

Shantanu Godbole India

Heidar Davoudi

220 ×1.5

AI

114 ×1.0

IS

12 ×0.4

CTM

28 ×1.0

CVPR

22 ×1.0

SP

Citations per year, relative to Heidar Davoudi Heidar Davoudi (= 1×) peers Shantanu Godbole

Countries citing papers authored by Heidar Davoudi

Since Specialization

Citations

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

Fields of papers citing papers by Heidar Davoudi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidar Davoudi

This figure shows the co-authorship network connecting the top 25 collaborators of Heidar Davoudi. A scholar is included among the top collaborators of Heidar Davoudi 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 Heidar Davoudi. Heidar Davoudi 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.

Davoudi, Heidar, et al.. (2023). Combined Medical Image Super-Resolution and Modality Translation Using GAN Transformer-Based Model. 1133–1138. 2 indexed citations

2.

An, Aijun, et al.. (2023). Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels. 2830–2842. 5 indexed citations

3.

Davoudi, Heidar, et al.. (2023). A Survey on Code Representation. 1.

4.

Davoudi, Heidar, et al.. (2023). Towards Deep Learning Models for Automatic Computer Program Grading. 1–10.

5.

Davoudi, Heidar, et al.. (2023). Preferential Proximal Policy Optimization. 293–300. 1 indexed citations

6.

Davoudi, Heidar, et al.. (2023). The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Transactions on Affective Computing. 15(1). 254–272. 7 indexed citations

7.

Davoudi, Heidar, et al.. (2022). Mitigating Cowardice for Reinforcement Learning Agents in Combat Scenarios. 377–384. 1 indexed citations

8.

Zihayat, Morteza, et al.. (2021). Leveraging non-respondent data in customer satisfaction modeling. Journal of Business Research. 135. 112–126. 9 indexed citations

9.

Davoudi, Heidar, et al.. (2021). RW-Team. 4759–4763. 2 indexed citations

10.

Davoudi, Heidar, et al.. (2020). Paywall Policy Learning in Digital News Media. IEEE Transactions on Knowledge and Data Engineering. 33(10). 3394–3409.

11.

Davoudi, Heidar, et al.. (2020). Robust keyword search in large attributed graphs. Information Retrieval. 23(5). 502–524. 13 indexed citations

12.

Davoudi, Heidar, et al.. (2020). Affective and Contextual Embedding for Sarcasm Detection. 225–243. 64 indexed citations

13.

Pu, Ken Q., et al.. (2020). NLP Relational Queries and Its Application. 3. 395–398. 2 indexed citations

14.

Davoudi, Heidar, et al.. (2019). Leveraging Emotion Features in News Recommendations.. Conference on Recommender Systems. 70–78. 5 indexed citations

15.

Davoudi, Heidar. (2019). User Acquisition and Engagement in Digital News Media. 1 indexed citations

16.

Davoudi, Heidar, et al.. (2019). Content-based Dwell Time Engagement Prediction Model for News Articles. 226–233. 3 indexed citations

17.

Davoudi, Heidar, et al.. (2018). Adaptive Paywall Mechanism for Digital News Media. 205–214. 5 indexed citations

18.

Zihayat, Morteza, Heidar Davoudi, & Aijun An. (2017). Mining significant high utility gene regulation sequential patterns. BMC Systems Biology. 11(S6). 109–109. 35 indexed citations

19.

Davoudi, Heidar, et al.. (2016). Time aware topic based recommender system. 1(2/3). 261–274. 3 indexed citations

20.

Zihayat, Morteza, Heidar Davoudi, & Aijun An. (2016). Top-k utility-based gene regulation sequential pattern discovery. 266–273. 12 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.

Explore authors with similar magnitude of impact