Fattane Zarrinkalam

570 total citations
33 papers, 293 citations indexed

About

Fattane Zarrinkalam is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Fattane Zarrinkalam has authored 33 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 22 papers in Artificial Intelligence and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Fattane Zarrinkalam's work include Complex Network Analysis Techniques (13 papers), Recommender Systems and Techniques (11 papers) and Topic Modeling (10 papers). Fattane Zarrinkalam is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Recommender Systems and Techniques (11 papers) and Topic Modeling (10 papers). Fattane Zarrinkalam collaborates with scholars based in Canada, Iran and Italy. Fattane Zarrinkalam's co-authors include Mohsen Kahani, Ebrahim Bagheri, Hossein Fani, Jelena Jovanović, Feras Al‐Obeidat, Negar Arabzadeh, Weichang Du, Guangyuan Piao, Ali A. Ghorbani and Yue Feng and has published in prestigious journals such as Journal of Psychosomatic Research, Knowledge-Based Systems and Information Processing & Management.

In The Last Decade

Fattane Zarrinkalam

31 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fattane Zarrinkalam Canada 10 166 153 102 71 29 33 293
Raquel Martínez Spain 8 145 0.9× 96 0.6× 72 0.7× 51 0.7× 37 1.3× 16 250
Mikalai Tsytsarau Italy 6 277 1.7× 97 0.6× 69 0.7× 63 0.9× 25 0.9× 11 366
Tianjun Fu United States 9 155 0.9× 151 1.0× 53 0.5× 77 1.1× 26 0.9× 11 320
Takashi Tomokiyo United States 5 312 1.9× 164 1.1× 67 0.7× 37 0.5× 23 0.8× 6 390
Baojun Qiu United States 8 182 1.1× 70 0.5× 148 1.5× 47 0.7× 12 0.4× 10 324
Owen Phelan Ireland 4 119 0.7× 175 1.1× 99 1.0× 49 0.7× 37 1.3× 6 299
Luís Sarmento Portugal 9 215 1.3× 85 0.6× 56 0.5× 27 0.4× 27 0.9× 36 320
Mikołaj Morzy Poland 9 91 0.5× 73 0.5× 42 0.4× 75 1.1× 16 0.6× 40 252
Nishith Pathak United States 8 97 0.6× 90 0.6× 188 1.8× 70 1.0× 30 1.0× 16 306
Arifah Che Alhadi Malaysia 6 172 1.0× 134 0.9× 160 1.6× 127 1.8× 48 1.7× 18 382

Countries citing papers authored by Fattane Zarrinkalam

Since Specialization
Citations

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

Fields of papers citing papers by Fattane Zarrinkalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fattane Zarrinkalam

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

All Works

20 of 20 papers shown
1.
Behkamal, Behshid, et al.. (2024). Persuasive explanations for path reasoning recommendations. Journal of Intelligent Information Systems. 63(2). 413–439. 1 indexed citations
2.
Al‐Obeidat, Feras, Ebrahim Bagheri, Mehdi Kargar, et al.. (2023). Learning heterogeneous subgraph representations for team discovery. Information Retrieval. 26(1-2). 4 indexed citations
3.
Kahani, Mohsen, et al.. (2022). Interpreting sarcasm on social media using attention-based neural networks. Knowledge-Based Systems. 258. 109977–109977. 10 indexed citations
4.
Zarrinkalam, Fattane, S. Faralli, Guangyuan Piao, & Ebrahim Bagheri. (2020). Extracting, Mining and Predicting Users’ Interests from Social Media. IRIS Research product catalog (Sapienza University of Rome). 14(5). 445–617. 7 indexed citations
5.
Zarrinkalam, Fattane, Guangyuan Piao, Stefano Faralli, & Ebrahim Bagheri. (2020). Mining User Interests from Social Media. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 3519–3520. 1 indexed citations
6.
Zarrinkalam, Fattane, Hossein Fani, & Ebrahim Bagheri. (2019). Extracting, Mining and Predicting Users' Interests from Social Networks. 1407–1408. 4 indexed citations
7.
Zarrinkalam, Fattane, et al.. (2019). Neural embedding features for point-of-interest recommendation. 657–662. 2 indexed citations
8.
Zarrinkalam, Fattane, et al.. (2019). The reflection of offline activities on users’ online social behavior: An observational study. Information Processing & Management. 56(6). 102070–102070. 17 indexed citations
9.
Arabzadeh, Negar, et al.. (2018). Causal Dependencies for Future Interest Prediction on Twitter. 1511–1514. 5 indexed citations
10.
Zarrinkalam, Fattane, Mohsen Kahani, & Ebrahim Bagheri. (2018). User interest prediction over future unobserved topics on social networks. Information Retrieval. 22(1-2). 93–128. 14 indexed citations
11.
Vigod, Simone N., Ebrahim Bagheri, Fattane Zarrinkalam, et al.. (2018). Online social network response to studies on antidepressant use in pregnancy. Journal of Psychosomatic Research. 106. 70–72. 1 indexed citations
12.
Zarrinkalam, Fattane, Mohsen Kahani, & Ebrahim Bagheri. (2017). Mining user interests over active topics on social networks. Information Processing & Management. 54(2). 339–357. 78 indexed citations
13.
Zarrinkalam, Fattane & Ebrahim Bagheri. (2017). Event identification in social networks. 1(1). 1630002–1630002. 12 indexed citations
14.
Fani, Hossein, Ebrahim Bagheri, Fattane Zarrinkalam, Xin Zhao, & Weichang Du. (2017). Finding Diachronic Like‐Minded Users. Computational Intelligence. 34(1). 124–144. 7 indexed citations
15.
Zarrinkalam, Fattane, Hossein Fani, Ebrahim Bagheri, Mohsen Kahani, & Weichang Du. (2015). Semantics-Enabled User Interest Detection from Twitter. 469–476. 18 indexed citations
16.
Kahani, Mohsen, et al.. (2014). COLINA: a method for ranking SPARQL query results through content and link analysis. International Semantic Web Conference. 273–276.
17.
Zarrinkalam, Fattane, et al.. (2014). Using graph database for file recommendation in PAD social network. 8. 470–475. 4 indexed citations
18.
Zarrinkalam, Fattane & Mohsen Kahani. (2013). Using Semantic Relations to Improve Quality of a Citation Recommendation System. 1(2). 36–45. 2 indexed citations
19.
Zarrinkalam, Fattane & Mohsen Kahani. (2012). A New Metric for Measuring Relatedness of ScientificPapers Based on Non-Textual Features. Intelligent Information Management. 4(4). 99–107. 8 indexed citations
20.
Zarrinkalam, Fattane & Mohsen Kahani. (2011). Improving bibliographic search through dataset enrichment using Linked Data. 254–259. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Raquel Martínez Breakdown of academic impact, for papers by Mikalai Tsytsarau Breakdown of academic impact, for papers by Tianjun Fu Breakdown of academic impact, for papers by Takashi Tomokiyo Breakdown of academic impact, for papers by Baojun Qiu Breakdown of academic impact, for papers by Owen Phelan Breakdown of academic impact, for papers by Luís Sarmento Breakdown of academic impact, for papers by Mikołaj Morzy Breakdown of academic impact, for papers by Nishith Pathak Breakdown of academic impact, for papers by Arifah Che Alhadi
Rankless by CCL
2026