Babak Loni

727 citations
23 papers · 337 indexed · h-index 9

Impact in

Papers in

Babak Loni

23 papers receiving 322 citations

Peers

Babak Loni
Comparison fields: 5 of 43
  • Information Systems 192
  • Artificial Intelligence 198
  • Computer Science Applications 33
  • Computer Vision and Pattern Recognition 107
  • Management Science and Operations Research 55
Replace Elena Smirnova with:
Elena Smirnova Switzerland
Suhas Ranganath United States
Qiang Cui China
Hengliang Luo China
Francesca Carmagnola Italy
Matthias Braunhofer Italy
Lynda Tamine France
Feng Xia China
Iman Kamehkhosh Germany
Erion Çano Italy
Babak Loni relative to Elena Smirnova Switzerland Elena Smirnova's profile →
Citations per field
00.5×1.5×1.9×
Elena Smirnova · 1×
Citations per year

Countries citing papers authored by Babak Loni

Since Specialization
Citations

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

Fields of papers citing papers by Babak Loni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Babak Loni, 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 Babak Loni Line = papers co-authored together Babak Loni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 20221
3 20214
4
Personalized Push Notifications for News Recommendation.
20192
5 20194
6 201917
7 2016109
8 20151
9
An Extended Data Model Format for Composite Recommendation
20142
10 201421
11 20146
12 201427
13 201430
14
A Platform for Task Recommendation in Human Computation
20143
15 201429
16
Crowdsourcing for Social Multimedia at MediaEval 2013: Challenges, Data set, and Evaluation.
20138
17
Enhanced Question Classification with Optimal Combination of Features
20115
18 20116
19
A Survey of State-of-the-Art Methods on Question Classification
201136
20 20093

About Babak Loni

Babak Loni is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 23 papers that have together received 337 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Topic Modeling (6 papers), Text and Document Classification Technologies (4 papers), Natural Language Processing Techniques (4 papers), Video Analysis and Summarization (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Image and Video Quality Assessment (3 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Information Systems (192 citations), Artificial Intelligence (198 citations), Computer Science Applications (33 citations), Computer Vision and Pattern Recognition (107 citations) and Management Science and Operations Research (55 citations). Babak Loni has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Martha Larson, Alan Hanjalić, Roberto Pagano, Alan Said, Alessandro Bozzon, María Menéndez-Blanco, Adrian Popescu, Bogdan Ionescu, Henning Müller and Simon Dooms. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Multimedia, View, UvA-DARE (University of Amsterdam) and MediaEval.

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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