Syed Latifi

792 total citations · 1 hit paper
8 papers, 422 citations indexed

About

Syed Latifi is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Syed Latifi has authored 8 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Education. Recurrent topics in Syed Latifi's work include Topic Modeling (5 papers), Educational Assessment and Pedagogy (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Syed Latifi is often cited by papers focused on Topic Modeling (5 papers), Educational Assessment and Pedagogy (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Syed Latifi collaborates with scholars based in Canada, Qatar and Kuwait. Syed Latifi's co-authors include Mark J. Gierl, Rawan AlSaad, Dari Alhuwail, Sarah Aziz, Arfan Ahmed, Rafat Damseh, M Healy, Javaid I. Sheikh, Alaa Abd‐Alrazaq and André De Champlain and has published in prestigious journals such as Medical Education, Language Testing and Evaluation & the Health Professions.

In The Last Decade

Syed Latifi

7 papers receiving 395 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.

Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions

2023 316 citations Alaa Abd‐Alrazaq, Rawan AlSaad et al. JMIR Medical Education profile →

Peers

Syed Latifi

HI

AI

RNMI

PHEOH

FP

Madiha Sajjad Pakistan

M Healy Ireland

Teresa Festl‐Wietek Germany

Billy Cheung Hong Kong

Yavuz Selim Kıyak Türkiye

Ozan Karaca Türkiye

Brian C. Gin United States

Kay Li Canada

Leslie Sanders Canada

Sonja Bjelobaba Sweden

Madiha Sajjad Pakistan

Syed Latifi

362 ×1.4

HI

151 ×1.1

AI

188 ×1.6

RNMI

82 ×1.5

PHEOH

52 ×1.1

FP

Citations per year, relative to Syed Latifi Syed Latifi (= 1×) peers Madiha Sajjad

Countries citing papers authored by Syed Latifi

Since Specialization

Citations

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

Fields of papers citing papers by Syed Latifi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syed Latifi

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Latifi. A scholar is included among the top collaborators of Syed Latifi 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 Syed Latifi. Syed Latifi 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:

8 of 8 papers shown

1.

Healy, M, et al.. (2025). Recommender Systems in Health Professions Education: Protocol for a Scoping Review. JMIR Research Protocols. 14. e69979–e69979.

2.

Abd‐Alrazaq, Alaa, Rawan AlSaad, Dari Alhuwail, et al.. (2023). Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions. JMIR Medical Education. 9. e48291–e48291. 316 indexed citations breakdown →

3.

Latifi, Syed & Mark J. Gierl. (2020). Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing. Language Testing. 38(1). 62–85. 33 indexed citations

4.

Latifi, Syed & Mark J. Gierl. (2020). Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing. Language Testing. 38(1). 62–85. 5 indexed citations

5.

Latifi, Syed, Mark J. Gierl, Ren Wang, Hollis Lai, & Andong Wang. (2016). Information-based methods for evaluating the semantics of automatically generated test items. 6(1). 2 indexed citations

6.

Latifi, Syed, et al.. (2016). Differential Performance on National Exams. SAGE Open. 6(2). 2 indexed citations

7.

Latifi, Syed, et al.. (2015). Using Automated Scoring to Evaluate Written Responses in English and French on a High-Stakes Clinical Competency Examination. Evaluation & the Health Professions. 39(1). 100–113. 16 indexed citations

8.

Gierl, Mark J., et al.. (2014). Automated essay scoring and the future of educational assessment in medical education. Medical Education. 48(10). 950–962. 48 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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