Ehsan Kamalloo

410 total citations
14 papers, 110 citations indexed

About

Ehsan Kamalloo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ehsan Kamalloo has authored 14 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ehsan Kamalloo's work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Data Quality and Management (2 papers). Ehsan Kamalloo is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Data Quality and Management (2 papers). Ehsan Kamalloo collaborates with scholars based in Canada, Iran and Sweden. Ehsan Kamalloo's co-authors include Davood Rafiei, Nouha Dziri, Charles L. A. Clarke, Mohammad Saniee Abadeh, Jimmy Lin, Mehdi Rezagholizadeh, Nandan Thakur, Mo Yu, Edoardo Maria Ponti and Osmar R. Zaı̈ane and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Advances in Fuzzy Systems and arXiv (Cornell University).

In The Last Decade

Ehsan Kamalloo

14 papers receiving 103 citations

Peers

Ehsan Kamalloo

CVPR

MSOR

ACCOU

Vasileios Iosifidis Germany

Ahmad A. Al Sallab Egypt

Fengbin Zhu China

Linyong Nan United States

Qinghong Han China

Zhongyang Li China

Dennis Diefenbach France

Iulia Turc United States

Julian Martin Eisenschlos United States

Vasileios Iosifidis Germany

Ehsan Kamalloo

134 ×1.5

11 ×0.6

CVPR

16 ×0.9

6 ×0.4

MSOR

4 ×0.4

ACCOU

Citations per year, relative to Ehsan Kamalloo Ehsan Kamalloo (= 1×) peers Vasileios Iosifidis

Countries citing papers authored by Ehsan Kamalloo

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Kamalloo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Kamalloo

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

All Works

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14 of 14 papers shown

Kamalloo, Ehsan, et al.. (2024). Towards Robust QA Evaluation via Open LLMs. 2811–2816. 4 indexed citations

Kamalloo, Ehsan, Nandan Thakur, Carlos Lassance, et al.. (2024). Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. 1431–1440. 2 indexed citations

Thakur, Nandan, Maik Fröbe, Ehsan Kamalloo, et al.. (2024). Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR. arXiv (Cornell University). 1420–1430. 5 indexed citations

Thakur, Nandan, Ehsan Kamalloo, Qun Liu, et al.. (2024). “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation. 12508–12526. 1 indexed citations

Kamalloo, Ehsan, Nouha Dziri, Charles L. A. Clarke, & Davood Rafiei. (2023). Evaluating Open-Domain Question Answering in the Era of Large Language Models. 5591–5606. 40 indexed citations

Kamalloo, Ehsan, et al.. (2023). Evaluating Embedding APIs for Information Retrieval. 518–526. 7 indexed citations

Kamalloo, Ehsan, Charles L. A. Clarke, & Davood Rafiei. (2023). Limitations of Open-Domain Question Answering Benchmarks for Document-level Reasoning. 2123–2128. 1 indexed citations

Thakur, Nandan, et al.. (2023). MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages. Transactions of the Association for Computational Linguistics. 11. 1114–1131. 5 indexed citations

Dziri, Nouha, Ehsan Kamalloo, Osmar R. Zaı̈ane, et al.. (2022). FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Transactions of the Association for Computational Linguistics. 10. 1473–1490. 16 indexed citations

10.

Kamalloo, Ehsan, Mehdi Rezagholizadeh, & Ali Ghodsi. (2022). When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. Findings of the Association for Computational Linguistics: ACL 2022. 1048–1062. 4 indexed citations

11.

Kamalloo, Ehsan, et al.. (2022). Probing the Robustness of Pre-trained Language Models for Entity Matching. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3786–3790. 8 indexed citations

12.

Kamalloo, Ehsan, et al.. (2022). Detecting Frozen Phrases in Open-Domain Question Answering. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1990–1996. 2 indexed citations

13.

Kamalloo, Ehsan & Mohammad Saniee Abadeh. (2014). Credit Risk Prediction Using Fuzzy Immune Learning. Advances in Fuzzy Systems. 2014. 1–11. 10 indexed citations

14.

Kamalloo, Ehsan & Mohammad Saniee Abadeh. (2010). An artificial immune system for extracting fuzzy rules in credit scoring. 1–8. 5 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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