Seda Özmutlu

1.1k citations
37 papers · 846 · h-index 16

Impact in

Papers in

    • Web Data Mining and Analysis 23
    • Information Retrieval and Search Behavior 18
    • Recommender Systems and Techniques 5
    • Expert finding and Q&A systems 4
    • Advanced Text Analysis Techniques 10

Seda Özmutlu

37 papers receiving 788 citations

Peers

Seda Özmutlu
Comparison fields: 5 of 63
  • Information Systems 560
  • Library and Information Sciences 18
  • Artificial Intelligence 288
  • Industrial and Manufacturing Engineering 88
  • Information Systems and Management 57
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Citations per field
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Citations per year

Countries citing papers authored by Seda Özmutlu

Since Specialization
Citations

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

Fields of papers citing papers by Seda Özmutlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Seda Özmutlu, 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 Seda Özmutlu Line = papers co-authored together Seda Özmutlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002133
2 2004106
3 2002105
4 201463
5 200363
6 200345
7 200239
8 200535
9 200529
10 200327
11 200427
12 200324
13 201423
14 200419
15 200217
16 200416
17 200616
18 20079
19 20078
20 20048

About Seda Özmutlu

Seda Özmutlu is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Industrial and Manufacturing Engineering and Statistical and Nonlinear Physics, having authored 37 papers that have together received 846 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (23 papers), Information Retrieval and Search Behavior (18 papers), Advanced Text Analysis Techniques (10 papers), Recommender Systems and Techniques (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Expert finding and Q&A systems (4 papers), Data Management and Algorithms (4 papers) and Assembly Line Balancing Optimization (4 papers). The work is most often cited by research in Information Systems (560 citations), Library and Information Sciences (18 citations), Artificial Intelligence (288 citations), Industrial and Manufacturing Engineering (88 citations) and Information Systems and Management (57 citations). Seda Özmutlu has collaborated with scholars based in Türkiye, United States and Australia. Frequent co-authors include H. Cenk Özmutlu, Amanda Spink, Bernard J. Jim Jansen, Fatih Çavdur, Catherine M. Harmonosky, Daniel P. Lorence and Yin Ping Yang. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, Online Information Review, International Journal of Production Research and Expert Systems with Applications.

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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