Jae‐wook Ahn

978 citations
34 papers · 531 · h-index 12

Impact in

Papers in

Jae‐wook Ahn

33 papers receiving 495 citations

Peers

Jae‐wook Ahn
Comparison fields: 5 of 56
  • Computer Science Applications 69
  • Information Systems 279
  • Computer Vision and Pattern Recognition 237
  • Artificial Intelligence 186
  • Information Systems and Management 38
Replace Erel Uziel with:
Erel Uziel Israel
Svetlin Bostandjiev United States
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Citations per field
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Citations per year

Countries citing papers authored by Jae‐wook Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐wook Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐wook Ahn. 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 Jae‐wook Ahn. The network helps show where Jae‐wook Ahn may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae‐wook Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae‐wook Ahn Line = papers co-authored together Jae‐wook Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007118
2 201384
3 201354
4 200843
5 200933
6 200527
7 200723
8 200619
9 201019
10 201113
11 201012
12 201511
13 20159
14
Teaching Information Retrieval With Web-based Interactive Visualization
20107
15 20077
16 20106
17
Layered Evaluation of Adaptive Search
20065
18 20165
19
QuizVIBE: Accessing Educational Objects with Adaptive Relevance-Based Visualization
20064
20 20194

About Jae‐wook Ahn

Jae‐wook Ahn is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications, having authored 34 papers that have together received 531 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Information Retrieval and Search Behavior (8 papers), Recommender Systems and Techniques (7 papers), Semantic Web and Ontologies (7 papers), Web Data Mining and Analysis (5 papers), Topic Modeling (5 papers), Advanced Database Systems and Queries (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computer Science Applications (69 citations), Information Systems (279 citations), Computer Vision and Pattern Recognition (237 citations), Artificial Intelligence (186 citations) and Information Systems and Management (38 citations). Jae‐wook Ahn has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Peter Brusilovsky, Daqing He, Jonathan Grady, Catherine Plaisant, Ben Shneiderman, Sue Yeon Syn, Rosta Farzan, Qi Li, Michael Yudelson and Radu Florian. Their work appears in journals such as Information Processing & Management, Journal of Documentation, IEEE Transactions on Visualization and Computer Graphics, International Journal on Digital Libraries and Journal of Education for Library and Information Science.

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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