Emre Yalçın

407 citations
26 papers · 250 · h-index 8

Impact in

    • Recommender Systems and Techniques
    • Expert finding and Q&A systems
  • Marketing top 10%
    • Consumer Market Behavior and Pricing

Papers in

    • Recommender Systems and Techniques 20
    • Consumer Market Behavior and Pricing 7
    • Customer churn and segmentation 4

Emre Yalçın

23 papers receiving 245 citations

Peers

Emre Yalçın
Comparison fields: 5 of 47
  • Information Systems 182
  • Marketing 48
  • Management Science and Operations Research 53
  • Artificial Intelligence 77
  • Computer Science Applications 11
Replace Inay Ha with:
Inay Ha South Korea
Sheetal Girase India
Mahsa Ebrahimian Canada
Sivaramakrishnan Natarajan United States
Zeshan Fayyaz Canada
Cosimo Palmisano Italy
Runlong Yu China
Deepa Anand India
Hengliang Luo China
Bogdan Walek Czechia
Emre Yalçın relative to Inay Ha South Korea Inay Ha's profile →
Citations per field
00.5×20×40×60×
Inay Ha · 1×
Citations per year

Countries citing papers authored by Emre Yalçın

Since Specialization
Citations

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

Fields of papers citing papers by Emre Yalçın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Emre Yalçın, 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 Emre Yalçın Line = papers co-authored together Emre Yalçın links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 202039
3 202234
4 202230
5 202118
6 202311
7 202110
8 20208
9 20237
10 20217
11 20226
12 20235
13 20224
14 20224
15 20243
16 20243
17 20243
18 20242
19 20252
20 20172

About Emre Yalçın

Emre Yalçın is a scholar working on Information Systems, Marketing, Management Science and Operations Research, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 26 papers that have together received 250 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (20 papers), Advanced Bandit Algorithms Research (7 papers), Consumer Market Behavior and Pricing (7 papers), Complex Network Analysis Techniques (4 papers), Customer churn and segmentation (4 papers), Image and Video Quality Assessment (3 papers), Caching and Content Delivery (3 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Information Systems (182 citations), Marketing (48 citations), Management Science and Operations Research (53 citations), Artificial Intelligence (77 citations) and Computer Science Applications (11 citations). Emre Yalçın has collaborated with scholars based in Türkiye, Netherlands and Pakistan. Frequent co-authors include Alper Bilge, Cihan Kaleli, Onur Doğan, Salih Berkan Aydemı̇r and Özgür Özdemir. Their work appears in journals such as Expert Systems with Applications, PeerJ Computer Science, Information Processing & Management, IEEE Access and Library Management.

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