Tarek Al Baghal

460 total citations
32 papers, 278 citations indexed

About

Tarek Al Baghal is a scholar working on Sociology and Political Science, Management Science and Operations Research and Health. According to data from OpenAlex, Tarek Al Baghal has authored 32 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 7 papers in Management Science and Operations Research and 6 papers in Health. Recurrent topics in Tarek Al Baghal's work include Survey Methodology and Nonresponse (12 papers), Focus Groups and Qualitative Methods (4 papers) and Social Capital and Networks (4 papers). Tarek Al Baghal is often cited by papers focused on Survey Methodology and Nonresponse (12 papers), Focus Groups and Qualitative Methods (4 papers) and Social Capital and Networks (4 papers). Tarek Al Baghal collaborates with scholars based in United Kingdom, United States and Italy. Tarek Al Baghal's co-authors include Luke Sloan, Curtis Jessop, Matthew Williams, Robert F. Belli, Alexander Wenz, Peter Lynn, Alessandra Gaia, Pete Burnap, Donald P. Haider‐Markel and Mark R. Joslyn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Epidemiology.

In The Last Decade

Tarek Al Baghal

26 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarek Al Baghal United Kingdom 10 175 45 38 29 27 32 278
Bernd Weiß Germany 10 171 1.0× 26 0.6× 26 0.7× 21 0.7× 28 1.0× 39 356
Zack W. Almquist United States 13 174 1.0× 25 0.6× 40 1.1× 48 1.7× 70 2.6× 33 480
Darby Miller Steiger United States 5 164 0.9× 22 0.5× 28 0.7× 38 1.3× 54 2.0× 10 313
Achim Koch Germany 8 190 1.1× 12 0.3× 43 1.1× 43 1.5× 36 1.3× 16 270
John Spicer Nichols United States 4 125 0.7× 22 0.5× 35 0.9× 39 1.3× 50 1.9× 15 301
Marek Fuchs Germany 11 195 1.1× 21 0.5× 31 0.8× 11 0.4× 31 1.1× 39 299
Aigul Mavletova Russia 8 271 1.5× 63 1.4× 23 0.6× 9 0.3× 35 1.3× 13 355
Reginald P. Baker Netherlands 3 108 0.6× 11 0.2× 32 0.8× 21 0.7× 31 1.1× 3 212
Shiro Kuriwaki United States 8 102 0.6× 11 0.2× 50 1.3× 45 1.6× 15 0.6× 16 307
Tina Kogovšek Slovenia 13 246 1.4× 77 1.7× 26 0.7× 97 3.3× 60 2.2× 33 408

Countries citing papers authored by Tarek Al Baghal

Since Specialization
Citations

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

Fields of papers citing papers by Tarek Al Baghal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tarek Al Baghal. 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 Tarek Al Baghal. The network helps show where Tarek Al Baghal may publish in the future.

Co-authorship network of co-authors of Tarek Al Baghal

This figure shows the co-authorship network connecting the top 25 collaborators of Tarek Al Baghal. A scholar is included among the top collaborators of Tarek Al Baghal 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 Tarek Al Baghal. Tarek Al Baghal 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.
2.
Sloan, Luke, et al.. (2024). Understanding Twitter Usage through Linked Data: An Analysis of Motivations and Online Behavior. International Journal for Population Data Science. 9(4).
3.
Sloan, Luke, et al.. (2024). Linking survey with Twitter data: examining associations among smartphone usage, privacy concern and Twitter linkage consent. International Journal of Social Research Methodology. 28(1). 71–85. 2 indexed citations
4.
Baghal, Tarek Al, et al.. (2024). Augmenting Surveys with Social Media Data: A Probabilistic Framework for LinkedIn Data Linkage.. International Journal for Population Data Science. 9(4).
5.
Baghal, Tarek Al, et al.. (2024). Linking Survey and LinkedIn Data: Understanding Usage and Consent Patterns. Journal of Survey Statistics and Methodology. 12(5). 1200–1211. 2 indexed citations
6.
Tanner, Alastair R., Valerio Maggio, Richard Thomas, et al.. (2023). Epicosm—a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology. 52(3). 952–957. 1 indexed citations
7.
Benzeval, Michaela, et al.. (2023). Does the feedback of blood results in observational studies influence response and consent? A randomised study of the Understanding Society Innovation Panel. BMC Medical Research Methodology. 23(1). 134–134. 4 indexed citations
8.
Kumari, Meena, Tarek Al Baghal, Jonathan Burton, et al.. (2023). A randomised study of nurse collected venous blood and self-collected dried blood spots for the assessment of cardiovascular risk factors in the Understanding Society Innovation Panel. Scientific Reports. 13(1). 13008–13008. 8 indexed citations
9.
Breuer, Johannes, et al.. (2021). Informed consent for linking survey and social media data - Differences between platforms and data types. SHILAP Revista de lepidopterología. 45(1). 7 indexed citations
10.
Baghal, Tarek Al, Alexander Wenz, Luke Sloan, & Curtis Jessop. (2021). Linking Twitter and survey data: asymmetry in quantity and its impact. EPJ Data Science. 10(1). 15 indexed citations
11.
Sloan, Luke, Curtis Jessop, Tarek Al Baghal, & Matthew Williams. (2019). Linking Survey and Twitter Data: Informed Consent, Disclosure, Security, and Archiving. Journal of Empirical Research on Human Research Ethics. 15(1-2). 63–76. 32 indexed citations
12.
Wenz, Alexander, Tarek Al Baghal, & Alessandra Gaia. (2019). Language Proficiency Among Respondents: Implications for Data Quality in a Longitudinal Face-To-Face Survey. Journal of Survey Statistics and Methodology. 9(1). 73–93. 22 indexed citations
13.
Baghal, Tarek Al. (2017). The Effect of Online and Mixed-Mode Measurement of Cognitive Ability. Social Science Computer Review. 37(1). 89–103. 5 indexed citations
14.
Baghal, Tarek Al. (2015). Obtaining data linkage consent for children: factors influencing outcomes and potential biases. International Journal of Social Research Methodology. 19(6). 623–643. 6 indexed citations
15.
Baghal, Tarek Al, et al.. (2014). What Are You Doing Now? Activity-Level Responses and Recall Failures in the American Time Use Survey. Journal of Survey Statistics and Methodology. 2(4). 519–537. 9 indexed citations
16.
Baghal, Tarek Al. (2014). Numeric Estimation and Response Options: An Examination of the Accuracy of Numeric and Vague Quantifier Responses. SHILAP Revista de lepidopterología. 5(2). 2 indexed citations
17.
Baghal, Tarek Al. (2014). Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options. SHILAP Revista de lepidopterología. 11 indexed citations
18.
19.
Baghal, Tarek Al. (2011). The measurement of risk perceptions: the case of smoking. Journal of Risk Research. 14(3). 351–364. 13 indexed citations
20.
Haider‐Markel, Donald P., Mark R. Joslyn, & Tarek Al Baghal. (2006). Can We Frame the Terrorist Threat? Issue Frames, the Perception of Threat, and Opinions on Counterterrorism Policies. Terrorism and Political Violence. 18(4). 545–559. 18 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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