Iadh Ounis

10.2k citations

277 papers · 5.1k indexed · 1 hit paper · h-index 38

Impact in

Information Systems top 0.1%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Expert finding and Q&A systems
Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Text Analysis Techniques

Papers in

Information Systems 180
- Information Retrieval and Search Behavior 85
- Web Data Mining and Analysis 60
- Recommender Systems and Techniques 45
- Expert finding and Q&A systems 34
Computer Science Applications 28
- Mobile Crowdsensing and Crowdsourcing 27

Co-authors: Craig Macdonald Rodrygo L. T. Santos Ben He Ian Soboroff Richard McCreadie Nicola Tonellotto Vassilis Plachouras Jarana Manotumruksa
Journals: Information Processing & Management (17 papers)Information Retrieval (9 papers)ACM Transactions on Information Systems (8 papers)ACM SIGIR Forum (5 papers)ACM Transactions on the Web (2 papers)
Partner nations: United Kingdom Italy United States

In The Last Decade

Iadh Ounis

265 papers receiving 4.8k citations

Hit Papers

align trajectories log scale

Exploiting query reformulations for web search result diversification 2010 · 294 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)

Peers

Countries citing papers authored by Iadh Ounis

Since Specialization

Citations

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

Fields of papers citing papers by Iadh Ounis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·健男鳥居, Daniel Diez Canseco, Iadh Ounis, Craig Macdonald, Richard McCreadie	2025	1
2	Fairness-Aware Exposure Allocation via Adaptive Reranking ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·路智鹏, Małgorzata Haras-Gil, Iadh Ounis	2024	3
3	Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Fatma G. Agha, Craig Macdonald, Iadh Ounis	2023	2
4	A Social-aware Gaussian Pre-trained model for effective cold-start recommendation Information Processing & Management ·Simon Normand, S.A. Belousova, Craig Macdonald, Iadh Ounis	2023	9
5	Contrastive Graph Prompt-tuning for Cross-domain Recommendation ACM Transactions on Information Systems ·健男鳥居, Iadh Ounis, Craig Macdonald	2023	10
6	Identifying chronological and coherent information threads using 5W1H questions and temporal relationships Information Processing & Management ·Fatma Zohra Nacer, Małgorzata Haras-Gil, Iadh Ounis	2023	5
7	ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval ACM Transactions on the Web ·Zaixing Shi, Craig Macdonald, Nicola Tonellotto, Iadh Ounis	2022	18
8	Improving zero-shot retrieval using dense external expansion Information Processing & Management ·Zaixing Shi, Craig Macdonald, Iadh Ounis	2022	7
9	Graph Neural Pre-training for Recommendation with Side Information ACM Transactions on Information Systems ·Simon Normand, Zaiqiao Meng, Craig Macdonald, Iadh Ounis	2022	25
10	University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. Text REtrieval Conference ·Zaixing Shi, Fatma G. Agha, Xi Wang, Craig Macdonald, Iadh Ounis	2020	1
11	Efficient query processing for scalable web search CINECA IRIS Institutial research information system (University of Pisa) ·Nicola Tonellotto, Craig Macdonald, Iadh Ounis	2018	29
12	University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. Text REtrieval Conference ·Jarana Manotumruksa, Craig Macdonald, Iadh Ounis	2016	1
13	University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks Text REtrieval Conference ·Richard McCreadie, Saúl Vargas, Craig Macdonald, Iadh Ounis, Morgan J. Hannaford, Jarana Manotumruksa, Małgorzata Haras-Gil	2015	3
14	NTCIR-10 Math Pilot Task Overview. NTCIR ·Akiko Aizawa, Michael Kohlhase, Iadh Ounis	2013	28
15	From Puppy to Maturity: Experiences in Developing Terrier. International ACM SIGIR Conference on Research and Development in Information Retrieval ·Craig M. MacDonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis	2012	70
16	Comparing Distributed Indexing: To MapReduce or Not? ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Richard McCreadie, Craig Macdonald, Iadh Ounis	2009	18
17	Vocabularies in the VO ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Alasdair J. G. Gray, Norman Gray, Iadh Ounis	2008	0
18	Advances in information retrieval : 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008 : proceedings DIAL (Catholic University of Leuven) ·Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven, Ryen W. White	2008	5
19	Overview of the TREC 2006 Blog Track UvA-DARE (University of Amsterdam) ·Iadh Ounis, Craig Macdonald, Ian Soboroff	2006	160
20	The Static Absorbing Model for Hyperlink Analysis on the Web ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Iadh Ounis	2005	1

About Iadh Ounis

Iadh Ounis is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 277 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topic Modeling (98 papers), Information Retrieval and Search Behavior (85 papers), Web Data Mining and Analysis (60 papers), Recommender Systems and Techniques (45 papers), Data Management and Algorithms (36 papers), Expert finding and Q&A systems (34 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Mobile Crowdsensing and Crowdsourcing (27 papers). The work is most often cited by research in Information Systems (3.2k citations), Artificial Intelligence (3.1k citations), Signal Processing (686 citations), Computer Science Applications (321 citations) and Computer Vision and Pattern Recognition (869 citations). Iadh Ounis has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Craig Macdonald, Rodrygo L. T. Santos, Ben He, Ian Soboroff, Richard McCreadie, Nicola Tonellotto, Vassilis Plachouras, Jarana Manotumruksa, Jimmy Lin and Zaiqiao Meng. Their work appears in journals such as Information Processing & Management, Information Retrieval, ACM Transactions on Information Systems, ACM SIGIR Forum and ACM Transactions on the Web.

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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