İzzeddin Gür

587 total citations
13 papers, 251 citations indexed

About

İzzeddin Gür is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, İzzeddin Gür has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in İzzeddin Gür's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (3 papers). İzzeddin Gür is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (3 papers). İzzeddin Gür collaborates with scholars based in United States and Türkiye. İzzeddin Gür's co-authors include Yu Su, Xifeng Yan, Semih Yavuz, Mudhakar Srivatsa, Huan Sun, Brian M. Sadler, Aleksandra Faust, Pararth Shah, Gökhan Tür and Dilek Hakkani‐Tür and has published in prestigious journals such as The VLDB Journal, Fire Technology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

İzzeddin Gür

13 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
İzzeddin Gür United States	10	214	49	43	9	8	13	251
Guang Chen China	9	149 0.7×	66 1.3×	79 1.8×	11 1.2×	6 0.8×	35	232
Jianshu Ji China	4	257 1.2×	86 1.8×	33 0.8×	16 1.8×	5 0.6×	7	291
Jiaan Wang China	8	240 1.1×	38 0.8×	33 0.8×	27 3.0×	4 0.5×	28	279
Parth Gupta Spain	10	269 1.3×	41 0.8×	55 1.3×	16 1.8×	12 1.5×	30	320
Shizhe Diao Hong Kong	9	208 1.0×	75 1.5×	25 0.6×	14 1.6×	7 0.9×	23	280
Ales Kubicek Switzerland	1	102 0.5×	25 0.5×	19 0.4×	5 0.6×	12 1.5×	2	161
Piotr Nyczyk Switzerland	1	102 0.5×	25 0.5×	19 0.4×	5 0.6×	12 1.5×	2	161
Honglun Zhang China	7	209 1.0×	47 1.0×	28 0.7×	12 1.3×	4 0.5×	11	242
Amir Kantor Israel	5	181 0.8×	40 0.8×	48 1.1×	9 1.0×	21 2.6×	14	237

Countries citing papers authored by İzzeddin Gür

Since Specialization

Citations

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

Fields of papers citing papers by İzzeddin Gür

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İzzeddin Gür

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

13 of 13 papers shown

1.

Gür, İzzeddin, Ofir Nachum, Yingjie Miao, et al.. (2023). Understanding HTML with Large Language Models. 2803–2821. 15 indexed citations

2.

Wang, Su, Vighnesh Birodkar, Aleksandra Faust, et al.. (2022). Less is More: Generating Grounded Navigation Instructions from Landmarks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15407–15417. 24 indexed citations

3.

Gür, İzzeddin, Natasha Jaques, Yingjie Miao, et al.. (2022). Environment Generation for Zero-Shot Compositional Reinforcement Learning. arXiv (Cornell University). 34. 4 indexed citations

4.

Gür, İzzeddin, et al.. (2018). Modeling Individual and Group Evacuation Decisions During Wildfires. Fire Technology. 55(2). 517–545. 9 indexed citations

5.

Gür, İzzeddin, Dilek Hakkani‐Tür, Gökhan Tür, & Pararth Shah. (2018). User Modeling for Task Oriented Dialogues. 16 indexed citations

6.

Yavuz, Semih, İzzeddin Gür, Yu Su, & Xifeng Yan. (2018). What It Takes to Achieve 100% Condition Accuracy on WikiSQL. 1702–1711. 12 indexed citations

7.

Gür, İzzeddin, Semih Yavuz, Yu Su, & Xifeng Yan. (2018). DialSQL: Dialogue Based Structured Query Generation. 1339–1349. 43 indexed citations

8.

Su, Yu, Honglei Liu, Semih Yavuz, et al.. (2018). Global Relation Embedding for Relation Extraction. 820–830. 16 indexed citations

9.

Yavuz, Semih, İzzeddin Gür, Yu Su, & Xifeng Yan. (2017). Recovering Question Answering Errors via Query Revision. 903–909. 7 indexed citations

10.

Hewlett, Daniel, Llion Jones, Alexandre Lacoste, & İzzeddin Gür. (2017). Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. 2011–2020. 13 indexed citations

11.

Su, Yu, Huan Sun, Brian M. Sadler, et al.. (2016). On Generating Characteristic-rich Question Sets for QA Evaluation. 562–572. 54 indexed citations

12.

Yavuz, Semih, İzzeddin Gür, Yu Su, Mudhakar Srivatsa, & Xifeng Yan. (2016). Improving Semantic Parsing via Answer Type Inference. 149–159. 34 indexed citations

13.

Gür, İzzeddin, et al.. (2014). Scaling forecasting algorithms using clustered modeling. The VLDB Journal. 24(1). 51–65. 4 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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