Didi Surian

2.4k citations

28 papers · 1.5k indexed · 1 hit paper · h-index 16

Impact in

Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Applied Psychology top 1%
- Digital Mental Health Interventions

Papers in

Statistics, Probability and Uncertainty 8
- Meta-analysis and systematic reviews 8
Health 6
- Vaccine Coverage and Hesitancy 5

Co-authors: Adam G. Dunn Enrico Coiera Rabia Bashir Farah Magrabi Liliana Laranjo Huong Ly Tong A. Baki Kocaballı Jessica Chen
Journals: Journal of Clinical Epidemiology (2 papers)Journal of Medical Internet Research (2 papers)Journal of Biomedical Informatics (2 papers)Journal of the American Medical Informatics Association (2 papers)BMJ Open (1 paper)
Partner nations: Australia United States Singapore

In The Last Decade

Didi Surian

27 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Conversational agents in healthcare: a systematic review 2018 · 762 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.

2018 Journal of the American Medical Informatics Association

Peers

Countries citing papers authored by Didi Surian

Since Specialization

Citations

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

Fields of papers citing papers by Didi Surian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	The 2-week systematic review (2weekSR) method was successfully blind-replicated by another team: a case study Journal of Clinical Epidemiology ·Cătălin Tufănaru, Didi Surian, Anna Mae Scott, Paul Glasziou, Enrico Coiera	2023	2
2	Social interactions and quality of life of residents in aged care facilities: A multi-methods study PLoS ONE ·Joyce Siette, Laura Dodds, Didi Surian, Mirela Prgomet, Adam G. Dunn, Johanna Westbrook	2022	15
3	Using automated methods to detect safety problems with health information technology: a scoping review Journal of the American Medical Informatics Association ·Didi Surian, Ying Wang, Enrico Coiera, Farah Magrabi	2022	2
4	The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations BMC Medical Research Methodology ·Didi Surian, Florence T. Bourgeois, Adam G. Dunn	2021	5
5	A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change Research Synthesis Methods ·Rabia Bashir, Adam G. Dunn, Didi Surian	2020	3
6	The risk of conclusion change in systematic review updates can be estimated by learning from a database of published examples Journal of Clinical Epidemiology ·Rabia Bashir, Didi Surian, Adam G. Dunn	2019	12
7	Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews JAMIA Open ·Paige Martin, Didi Surian, Rabia Bashir, Florence T. Bourgeois, Adam G. Dunn	2019	15
8	Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study Journal of Medical Internet Research ·Zubair Shah, Didi Surian, Amalie Dyda, Enrico Coiera, Kenneth D. Mandl, Adam G. Dunn	2019	38
9	Tracking a moving user in indoor environments using Bluetooth low energy beacons Journal of Biomedical Informatics ·Didi Surian, F Lobkowicz, Ranjeeta Menon, Adam G. Dunn, Vitali Sintchenko, Enrico Coiera	2019	29
10	A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates Journal of Biomedical Informatics ·Didi Surian, Adam G. Dunn, Liat Orenstein, Rabia Bashir, Enrico Coiera, Florence T. Bourgeois	2018	13
11	Time-to-update of systematic reviews relative to the availability of new evidence Systematic Reviews ·Rabia Bashir, Didi Surian, Adam G. Dunn	2018	39
12	Comparing human papillomavirus vaccine concerns on Twitter: a cross-sectional study of users in Australia, Canada and the UK BMJ Open ·Gilla K. Shapiro, Didi Surian, Adam G. Dunn, Ryan Perry, Margaret Kelaher	2017	47
13	Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States Vaccine ·Adam G. Dunn, Didi Surian, Julie Leask, Aditi Dey, Kenneth D. Mandl, Enrico Coiera	2017	209
14	Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection Journal of Medical Internet Research ·Didi Surian, Dat Quoc Nguyen, Kakali arkar, Mark Johnson, Enrico Coiera, Adam G. Dunn	2016	133
15	Latent outlier detection and the low precision problem Fei Wang, Sanjay Chawla, Didi Surian	2013	5
16	Mining direct antagonistic communities in signed social networks Information Processing & Management ·David Lo, Didi Surian, Eduard Dorn, Kuan Zhang, Ee‐Peng Lim	2013	16
17	Mining direct antagonistic communities in explicit trust networks David Lo, Didi Surian, Kuan Zhang, Ee‐Peng Lim	2011	18
18	Recommending People in Developers' Collaboration Network Didi Surian, Nian Liu, David Lo, Hanghang Tong, Ee‐Peng Lim, Christos Faloutsos	2011	43
19	Mining Collaboration Patterns from a Large Developer Network Didi Surian, David Lo, Ee‐Peng Lim	2010	44
20	Perancangan IPcore mikrokontroler kompatibel ATMEL ATMEGA8535 dengan VHDL Didi Surian	2008	0

About Didi Surian

Didi Surian is a scholar working on Statistics, Probability and Uncertainty, Health, Medical Laboratory Technology, Computer Science Applications and Information Systems, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Misinformation and Its Impacts (5 papers), Vaccine Coverage and Hesitancy (5 papers), Software Engineering Research (3 papers), Complex Network Analysis Techniques (3 papers), Data-Driven Disease Surveillance (3 papers), Spam and Phishing Detection (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Informatics (118 citations), Applied Psychology (350 citations), Health (337 citations), Artificial Intelligence (548 citations) and Communication (98 citations). Didi Surian has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Adam G. Dunn, Enrico Coiera, Rabia Bashir, Farah Magrabi, Liliana Laranjo, Huong Ly Tong, A. Baki Kocaballı, Jessica Chen, Blanca Gallego and Annie Lau. Their work appears in journals such as Journal of Clinical Epidemiology, Journal of Medical Internet Research, Journal of Biomedical Informatics, Journal of the American Medical Informatics Association and BMJ Open.

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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