Ahu Sieg

685 total citations
9 papers, 353 citations indexed

About

Ahu Sieg is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahu Sieg has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahu Sieg's work include Recommender Systems and Techniques (6 papers), Information Retrieval and Search Behavior (5 papers) and Web Data Mining and Analysis (4 papers). Ahu Sieg is often cited by papers focused on Recommender Systems and Techniques (6 papers), Information Retrieval and Search Behavior (5 papers) and Web Data Mining and Analysis (4 papers). Ahu Sieg collaborates with scholars based in United States. Ahu Sieg's co-authors include Bamshad Mobasher, Robin Burke and Steven L. Lytinen and has published in prestigious journals such as Journal of Religion and Health and International Conference on Internet Computing.

In The Last Decade

Ahu Sieg

8 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahu Sieg United States	8	298	188	69	60	42	9	353
Reiner Kraft United States	9	245 0.8×	155 0.8×	57 0.8×	62 1.0×	34 0.8×	19	325
Pu‐Jen Cheng Taiwan	12	203 0.7×	267 1.4×	82 1.2×	44 0.7×	39 0.9×	46	404
Liyun Ru China	13	318 1.1×	275 1.5×	61 0.9×	42 0.7×	70 1.7×	34	470
Paul - Alexandru Chirita Germany	8	431 1.4×	237 1.3×	102 1.5×	92 1.5×	86 2.0×	10	533
Bodo Billerbeck Australia	9	230 0.8×	161 0.9×	67 1.0×	85 1.4×	33 0.8×	19	317
Mariam Daoud France	9	175 0.6×	143 0.8×	78 1.1×	47 0.8×	26 0.6×	18	275
Roberto Mirizzi Italy	7	268 0.9×	240 1.3×	66 1.0×	25 0.4×	42 1.0×	16	353
Thomas Panas United States	8	264 0.9×	101 0.5×	99 1.4×	115 1.9×	86 2.0×	23	352
Wisam Dakka United States	7	179 0.6×	239 1.3×	48 0.7×	90 1.5×	44 1.0×	9	332
Marshall Ramsey United States	10	163 0.5×	123 0.7×	74 1.1×	63 1.1×	62 1.5×	16	297

Countries citing papers authored by Ahu Sieg

Since Specialization

Citations

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

Fields of papers citing papers by Ahu Sieg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahu Sieg

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

9 of 9 papers shown

1.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2010). Improving the effectiveness of collaborative recommendation with ontology-based user profiles. 39–46. 40 indexed citations

2.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2010). Ontology-Based Collaborative Recommendation.. 9 indexed citations

3.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2007). Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search. 8. 7–18. 55 indexed citations

4.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2007). Ontological User Profiles for Representing Context in Web Search. 91–94. 25 indexed citations

5.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2007). Ontological User Profiles for Representing Context in Web Search.

6.

Sieg, Ahu, Bamshad Mobasher, & Robin Burke. (2007). Web search personalization with ontological user profiles. 525–534. 176 indexed citations

7.

Sieg, Ahu, et al.. (2005). Representing User Information Context with Ontologies. Journal of Religion and Health. 52(1). 79–90. 10 indexed citations

8.

Sieg, Ahu, Bamshad Mobasher, Steven L. Lytinen, & Robin Burke. (2003). Concept Based Query Enhancement in the ARCH Search Agent.. International Conference on Internet Computing. 613–619. 9 indexed citations

9.

Sieg, Ahu, et al.. (2003). USING CONCEPT HIERARCHIES TO ENHANCE USER QUERIES IN WEB-BASED INFORMATION RETRIEVAL. 24(1). 190–8. 29 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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