Pigi Kouki

503 total citations
9 papers, 287 citations indexed

About

Pigi Kouki is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Pigi Kouki has authored 9 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Pigi Kouki's work include Recommender Systems and Techniques (6 papers), Topic Modeling (2 papers) and Data Quality and Management (2 papers). Pigi Kouki is often cited by papers focused on Recommender Systems and Techniques (6 papers), Topic Modeling (2 papers) and Data Quality and Management (2 papers). Pigi Kouki collaborates with scholars based in United States. Pigi Kouki's co-authors include Lise Getoor, Jay Pujara, James Schaffer, John O’Donovan, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Christopher Steven Marcum, Laura M. Koehly and Nikolaos Vasiloglou and has published in prestigious journals such as Knowledge and Information Systems, ACM Transactions on Interactive Intelligent Systems and 2022 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Pigi Kouki

9 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pigi Kouki United States 8 199 164 64 51 23 9 287
Albert Meroño-Peñuela United Kingdom 8 154 0.8× 71 0.4× 50 0.8× 50 1.0× 28 1.2× 52 302
Piero Molino Italy 7 225 1.1× 135 0.8× 24 0.4× 111 2.2× 14 0.6× 15 333
Gaole He Netherlands 10 308 1.5× 131 0.8× 29 0.5× 45 0.9× 10 0.4× 15 360
Allison J. B. Chaney United States 7 105 0.5× 137 0.8× 35 0.5× 37 0.7× 26 1.1× 11 239
Katherine Lee United States 7 265 1.3× 55 0.3× 23 0.4× 42 0.8× 12 0.5× 13 375
Md Mehrab Tanjim United States 5 135 0.7× 79 0.5× 26 0.4× 22 0.4× 8 0.3× 8 232
Xinxi Lyu United States 4 370 1.9× 60 0.4× 17 0.3× 107 2.1× 25 1.1× 4 490
Danish Contractor India 10 242 1.2× 81 0.5× 12 0.2× 27 0.5× 26 1.1× 27 343
Penghe Chen China 9 281 1.4× 77 0.5× 24 0.4× 29 0.6× 20 0.9× 22 401

Countries citing papers authored by Pigi Kouki

Since Specialization
Citations

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

Fields of papers citing papers by Pigi Kouki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pigi Kouki

This figure shows the co-authorship network connecting the top 25 collaborators of Pigi Kouki. A scholar is included among the top collaborators of Pigi Kouki 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 Pigi Kouki. Pigi Kouki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Keshavarz, Hossein, et al.. (2022). Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain. 2022 IEEE International Conference on Big Data (Big Data). 2024–2033. 3 indexed citations
3.
Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2020). Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Transactions on Interactive Intelligent Systems. 10(4). 1–40. 29 indexed citations
4.
Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2019). Personalized explanations for hybrid recommender systems. 379–390. 96 indexed citations
5.
Kouki, Pigi, et al.. (2019). Product collection recommendation in online retail. 486–490. 10 indexed citations
6.
Kouki, Pigi, Jay Pujara, Christopher Steven Marcum, Laura M. Koehly, & Lise Getoor. (2018). Collective entity resolution in multi-relational familial networks. Knowledge and Information Systems. 61(3). 1547–1581. 10 indexed citations
7.
Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2017). User Preferences for Hybrid Explanations. 84–88. 51 indexed citations
8.
Kouki, Pigi, Jay Pujara, Christopher Steven Marcum, Laura M. Koehly, & Lise Getoor. (2017). Collective Entity Resolution in Familial Networks. 227–236. 22 indexed citations
9.
Kouki, Pigi, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, & Lise Getoor. (2015). HyPER. 99–106. 54 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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