Hamed Zamani

4.0k total citations · 1 hit paper
101 papers, 1.9k citations indexed

About

Hamed Zamani is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hamed Zamani has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 55 papers in Information Systems and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hamed Zamani's work include Topic Modeling (63 papers), Information Retrieval and Search Behavior (33 papers) and Recommender Systems and Techniques (24 papers). Hamed Zamani is often cited by papers focused on Topic Modeling (63 papers), Information Retrieval and Search Behavior (33 papers) and Recommender Systems and Techniques (24 papers). Hamed Zamani collaborates with scholars based in United States, Iran and Australia. Hamed Zamani's co-authors include W. Bruce Croft, Mostafa Dehghani, Jaap Kamps, Nick Craswell, Azadeh Shakery, Aliaksei Severyn, Michael Bendersky, Markus Schedl, Paul Lamere and Paul N. Bennett and has published in prestigious journals such as Information Processing & Management, ACM Transactions on Information Systems and Computer Speech & Language.

In The Last Decade

Hamed Zamani

90 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluating Retrieval Quality in Retrieval-Augmented Generation

2024 47 citations Hamed Zamani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamed Zamani United States	25	1.5k	944	464	152	152	101	1.9k
Zhicheng Dou China	24	1.1k 0.8×	1.3k 1.4×	436 0.9×	224 1.5×	132 0.9×	169	2.0k
Qingyao Ai China	16	1.3k 0.9×	1.0k 1.1×	349 0.8×	58 0.4×	165 1.1×	89	1.7k
Michael Bendersky United States	25	1.4k 1.0×	1.2k 1.3×	374 0.8×	188 1.2×	316 2.1×	100	2.1k
Ben He China	23	1.2k 0.8×	910 1.0×	250 0.5×	164 1.1×	132 0.9×	77	1.5k
Shangsong Liang China	26	1.1k 0.8×	838 0.9×	292 0.6×	122 0.8×	131 0.9×	98	1.6k
Bhaskar Mitra United States	18	960 0.7×	623 0.7×	234 0.5×	77 0.5×	143 0.9×	50	1.2k
Panagiotis Symeonidis Greece	23	853 0.6×	1.1k 1.2×	344 0.7×	181 1.2×	160 1.1×	68	1.8k
Pengjie Ren China	25	2.0k 1.4×	1.8k 1.9×	511 1.1×	110 0.7×	464 3.1×	98	2.7k
Benjamin Piwowarski France	16	574 0.4×	586 0.6×	262 0.6×	91 0.6×	122 0.8×	38	1.1k
Ioannis Konstas United Kingdom	15	985 0.7×	767 0.8×	259 0.6×	159 1.0×	57 0.4×	40	1.5k

Countries citing papers authored by Hamed Zamani

Since Specialization

Citations

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

Fields of papers citing papers by Hamed Zamani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Zamani

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

All Works

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

20 of 20 papers shown

1.

Zhang, Shuo, et al.. (2025). ProActLLM: Proactive Conversational Information Seeking with Large Language Models. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 6894–6897.

2.

Wang, Wenjie, Zheng Liu, Fuli Feng, et al.. (2025). Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1. ACM Transactions on Information Systems. 43(2). 1–6.

3.

Zamani, Hamed & Michael Bendersky. (2024). Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. 2641–2646. 11 indexed citations

4.

Zamani, Hamed, et al.. (2024). Third Workshop on Personalization and Recommendations in Search (PaRiS). 3065–3069.

5.

Zamani, Hamed, et al.. (2024). Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation. 752–762. 19 indexed citations

6.

Zamani, Hamed, et al.. (2024). ProCIS: A Benchmark for Proactive Retrieval in Conversations. arXiv (Cornell University). 830–840. 3 indexed citations

7.

Hofstätter, Sebastian, et al.. (2023). FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. 1437–1447. 29 indexed citations

8.

Nogueira, Rodrigo, et al.. (2023). A Personalized Dense Retrieval Framework for Unified Information Access. 121–130. 7 indexed citations

9.

Zamani, Hamed, et al.. (2022). Predicting Prerequisite Relations for Unseen Concepts. 8542–8548. 2 indexed citations

10.

Trippas, Johanne R., et al.. (2022). MIMICS-Duo. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 3198–3208. 5 indexed citations

11.

Deldjoo, Yashar, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, & Tommaso Di Noia. (2021). A flexible framework for evaluating user and item fairness in recommender systems. User Modeling and User-Adapted Interaction. 31(3). 457–511. 41 indexed citations

12.

Croft, W. Bruce, et al.. (2021). . arXiv (Cornell University). 15 indexed citations

13.

Deldjoo, Yashar, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, & Tommaso Di Noia. (2019). Recommender Systems Fairness Evaluation via Generalized Cross Entropy. Biblos-e Archivo (Universidad Autónoma de Madrid). 3 indexed citations

14.

Zamani, Hamed, et al.. (2018). From Neural Re-Ranking to Neural Ranking Learning a Sparse Representation for Inverted Indexing. Data Archiving and Networked Services (DANS). 497–506. 11 indexed citations

15.

Aliannejadi, Mohammad, Hamed Zamani, Fábio Crestani, & W. Bruce Croft. (2018). In Situ and Context-Aware Target Apps Selection for Unified Mobile Search. 1383–1392. 4 indexed citations

16.

Zamani, Hamed, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, & Jaap Kamps. (2018). From Neural Re-Ranking to Neural Ranking. UvA-DARE (University of Amsterdam). 497–506. 79 indexed citations

17.

Ai, Qingyao, et al.. (2017). UMass at TREC 2017 Common Core Track.. Text REtrieval Conference. 1 indexed citations

18.

Dadashkarimi, Javid, Azadeh Shakery, Heshaam Faili, & Hamed Zamani. (2016). An expectation-maximization algorithm for query translation based on pseudo-relevant documents. Information Processing & Management. 53(2). 371–387. 8 indexed citations

19.

Zamani, Hamed, et al.. (2016). Axiomatic Analysis for Improving the Log-Logistic Feedback Model. 765–768. 20 indexed citations

20.

Abnar, Samira, Mostafa Dehghani, Hamed Zamani, & Azadeh Shakery. (2014). Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014.. CLEF (Working Notes). 928–938. 6 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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