Tamer Elsayed

2.6k total citations
88 papers, 1.1k citations indexed

About

Tamer Elsayed is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Tamer Elsayed has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 35 papers in Information Systems and 18 papers in Sociology and Political Science. Recurrent topics in Tamer Elsayed's work include Topic Modeling (41 papers), Natural Language Processing Techniques (17 papers) and Information Retrieval and Search Behavior (13 papers). Tamer Elsayed is often cited by papers focused on Topic Modeling (41 papers), Natural Language Processing Techniques (17 papers) and Information Retrieval and Search Behavior (13 papers). Tamer Elsayed collaborates with scholars based in Qatar, United States and Saudi Arabia. Tamer Elsayed's co-authors include Jimmy Lin, Douglas W. Oard, Mücahid Kutlu, Maram Hasanain, Matthew Lease, Reem Suwaileh, Tyler McDonnell, Walid Magdy, Donald Metzler and Kareem Darwish and has published in prestigious journals such as Future Generation Computer Systems, Proceedings of the VLDB Endowment and Information Processing & Management.

In The Last Decade

Tamer Elsayed

79 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamer Elsayed Qatar 19 730 410 230 137 110 88 1.1k
Marco Cristo Brazil 18 517 0.7× 588 1.4× 99 0.4× 173 1.3× 80 0.7× 57 1.1k
Giuseppe Rizzo Italy 18 778 1.1× 374 0.9× 107 0.5× 113 0.8× 56 0.5× 64 1.0k
Zongyang Ma Singapore 12 605 0.8× 701 1.7× 137 0.6× 131 1.0× 153 1.4× 21 1.5k
Ayşe Göker United Kingdom 13 343 0.5× 395 1.0× 175 0.8× 150 1.1× 102 0.9× 40 880
Elisabeth Lex Austria 16 297 0.4× 336 0.8× 116 0.5× 90 0.7× 37 0.3× 80 720
Danielle Booth United States 9 288 0.4× 512 1.2× 119 0.5× 77 0.6× 58 0.5× 14 829
Lara Quijano-Sánchez Spain 13 319 0.4× 350 0.9× 108 0.5× 61 0.4× 84 0.8× 27 656
Nadav Golbandi Israel 12 319 0.4× 479 1.2× 77 0.3× 154 1.1× 91 0.8× 14 829
Michal Jacovi Israel 16 228 0.3× 488 1.2× 162 0.7× 93 0.7× 148 1.3× 33 821
Alain Mille France 10 332 0.5× 205 0.5× 113 0.5× 47 0.3× 92 0.8× 44 710

Countries citing papers authored by Tamer Elsayed

Since Specialization
Citations

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

Fields of papers citing papers by Tamer Elsayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamer Elsayed

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer Elsayed. A scholar is included among the top collaborators of Tamer Elsayed 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 Tamer Elsayed. Tamer Elsayed 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.
Khalilia, Mohammed, et al.. (2024). ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task. 361–371. 2 indexed citations
3.
Haouari, Fatima, et al.. (2023). Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. Qatar University QSpace (Qatar University). 3170–3174. 3 indexed citations
4.
Elsayed, Tamer, et al.. (2023). This is not new! Spotting previously-verified claims over Twitter. Information Processing & Management. 60(4). 103414–103414. 6 indexed citations
5.
Shaar, Shaden, Fatima Haouari, Maram Hasanain, et al.. (2021). Overview of the CLEF-2021 CheckThat! Lab Task 2 on detecting previously fact-checked claims in tweets and political debates. Qatar University QSpace (Qatar University). 2936. 393–405. 7 indexed citations
6.
Shaar, Shaden, Maram Hasanain, Bayan Hamdan, et al.. (2021). Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates. Qatar University QSpace (Qatar University). 2936. 369–392. 13 indexed citations
7.
Hasanain, Maram & Tamer Elsayed. (2020). bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness.. Qatar University QSpace (Qatar University). 4 indexed citations
8.
Hasanain, Maram, Reem Suwaileh, Tamer Elsayed, Alberto Barrón‐Cedeño, & Preslav Nakov. (2019). Overview of the CLEF-2019 Checkthat! LAB: Automatic identification and verification of claims. Task 2: Evidence and factuality. Qatar University QSpace (Qatar University). 2380. 1–15. 8 indexed citations
9.
Elsayed, Tamer, et al.. (2019). bigIR at TREC 2019: Graph-based Analysis for News Background Linking.. Qatar University QSpace (Qatar University). 2 indexed citations
10.
Kutlu, Mücahid, et al.. (2018). BigIR at CLEF 2018: Detection and verification of check-worthy political claims. CLEF (Working Notes).
11.
Elsayed, Tamer, Reem Suwaileh, Pepa Atanasova, et al.. (2018). Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality. 2125. 16 indexed citations
12.
Torki, Marwan, et al.. (2016). Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization.. Qatar University QSpace (Qatar University). 2 indexed citations
13.
Suwaileh, Reem, Maram Hasanain, Marwan Torki, & Tamer Elsayed. (2015). QU at TREC-2015: Building Real-Time Systems for Tweet Filtering and Question Answering. Qatar University QSpace (Qatar University). 2 indexed citations
14.
Hasanain, Maram & Tamer Elsayed. (2014). QU at TREC-2014: Online Clustering with Temporal and Topical Expansion for Tweet Timeline Generation. Qatar University QSpace (Qatar University). 2 indexed citations
15.
Hasanain, Maram, et al.. (2013). QU at TREC-2013: Expansion Experiments for Microblog Ad hoc Search. Qatar University QSpace (Qatar University). 3 indexed citations
16.
Jiang, Jinling, et al.. (2011). BEST of KAUST at TREC 2011: Building Effective Search in Twitter.. Text REtrieval Conference. 63(2). 167–71. 4 indexed citations
17.
Elsayed, Tamer, et al.. (2010). UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory. Text REtrieval Conference. 6 indexed citations
18.
Lin, Jimmy, Donald Metzler, Tamer Elsayed, & Lidan Wang. (2009). Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search. Text REtrieval Conference. 33 indexed citations
19.
Sayeed, Asad, Tamer Elsayed, Nikesh Garera, et al.. (2009). Arabic Cross-Document Coreference Resolution. Meeting of the Association for Computational Linguistics. 357–360.
20.
Elsayed, Tamer, Douglas W. Oard, & Galileo Namata. (2008). Resolving Personal Names in Email Using Context Expansion. Meeting of the Association for Computational Linguistics. 941–949. 19 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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