Alexander Merkin

1.7k total citations
18 papers, 99 citations indexed

About

Alexander Merkin is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alexander Merkin has authored 18 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 6 papers in Cognitive Neuroscience and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alexander Merkin's work include Dementia and Cognitive Impairment Research (7 papers), Functional Brain Connectivity Studies (4 papers) and Global Public Health Policies and Epidemiology (3 papers). Alexander Merkin is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Functional Brain Connectivity Studies (4 papers) and Global Public Health Policies and Epidemiology (3 papers). Alexander Merkin collaborates with scholars based in New Zealand, Russia and Australia. Alexander Merkin's co-authors include Valery L. Feigin, Rita Krishnamurthi, Oleg N. Medvedev, Maryam Doborjeh, Nikola Kasabov, Zohreh Doborjeh, Perminder S. Sachdev, Henry Brodaty, Michael Kravchenko and Alexander Sumich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Affective Disorders.

In The Last Decade

Alexander Merkin

18 papers receiving 97 citations

Peers

Alexander Merkin

EEE

EPIDE

PMH

Yatharth Ranjan United Kingdom

Chengdong Li United States

A. Sola‐Gazagnes France

Pauline Conde United Kingdom

Chris Tsai United States

Amelia M. Pellegrini United States

Marco Annoni Italy

Tahir Janmohamed Canada

Danielle Dean United States

Soosanna Kumary Chattu Canada

Yatharth Ranjan United Kingdom

Alexander Merkin

31 ×1.5

9 ×0.6

EEE

8 ×0.6

EPIDE

9 ×0.6

32 ×2.5

PMH

Citations per year, relative to Alexander Merkin Alexander Merkin (= 1×) peers Yatharth Ranjan

Countries citing papers authored by Alexander Merkin

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Merkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Merkin

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

All Works

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18 of 18 papers shown

Choo, Carol C., Katya Numbers, Alexander Merkin, et al.. (2023). Enhancing precision of the Telephone Interview for Cognitive Status–Modified (TICS-M) using the Rasch model.. Psychological Assessment. 35(7). 559–571. 3 indexed citations

Cervin, Matti, Carol C. Choo, Katya Numbers, et al.. (2023). Using network analysis to validate domains of the modified telephone interview for cognitive status. European Journal of Clinical Investigation. 53(9). e14016–e14016. 6 indexed citations

Doborjeh, Maryam, Zohreh Doborjeh, Edmund Lai, et al.. (2023). Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. Briefings in Bioinformatics. 24(6). 6 indexed citations

Merkin, Alexander, Oleg N. Medvedev, Rita Krishnamurthi, et al.. (2023). A Pilot Study of Application of the Stroke Riskometer Mobile App for Assessment of the Course and Clinical Outcomes of COVID-19 among Hospitalized Patients. Cerebrovascular Diseases Extra. 13(1). 47–55. 1 indexed citations

King, Marcus, et al.. (2023). Te Ōranga Ō Te Roro: kaumātua perspectives on the development of a mobile app for mate wareware (dementia) awareness. New Zealand Medical Journal. 136(1586). 73–83. 1 indexed citations

Doborjeh, Zohreh, Maryam Doborjeh, Alexander Sumich, et al.. (2023). Investigation of social and cognitive predictors in non-transition ultra-high-risk’ individuals for psychosis using spiking neural networks. Schizophrenia. 9(1). 7 indexed citations

Feigin, Valery L., et al.. (2022). Digital solutions for primary stroke and cardiovascular disease prevention: A mass individual and public health approach. The Lancet Regional Health - Western Pacific. 29. 100511–100511. 10 indexed citations

Merkin, Alexander, Katya Numbers, Perminder S. Sachdev, et al.. (2022). A novel approach to investigate depression symptoms in the aging population using generalizability theory.. Psychological Assessment. 34(7). 684–696. 5 indexed citations

Merkin, Alexander, et al.. (2022). Tobacco use among Kola Sámi, the indigenous people of the Murmansk region, Russia: A cross-sectional study. International Journal of Circumpolar Health. 81(1). 2124630–2124630. 1 indexed citations

10.

Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2022). Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cognitive Computation. 14(6). 2187–2202. 8 indexed citations

11.

Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2021). Personalised Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cognitive Computation. 1–32. 1 indexed citations

12.

McCarthy, Jane, Birit F. P. Broekman, Alexander Merkin, et al.. (2021). General hospital specialists’ attitudes toward psychiatry: a cross-sectional survey in seven countries. BMJ Open. 11(11). e054173–e054173. 3 indexed citations

13.

Medvedev, Oleg N., et al.. (2021). Cross-cultural validation of the stroke riskometer using generalizability theory. Scientific Reports. 11(1). 19064–19064. 8 indexed citations

14.

Choo, Carol C., Katya Numbers, Alexander Merkin, et al.. (2021). Clinical investigation of dynamic and enduring aspects of global cognition in aged population. European Journal of Clinical Investigation. 52(2). e13681–e13681. 5 indexed citations

15.

Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2021). Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks. 144. 522–539. 19 indexed citations

16.

Krishnamurthi, Rita, et al.. (2020). Can we stop the stroke tsunami? Mitigating the barriers, amplifying the facilitators. Journal of the Royal Society of New Zealand. 52(2). 109–128. 2 indexed citations

17.

Merkin, Alexander, et al.. (2020). Trends in tobacco smoking and smoking cessation in Russia with a focus on Indigenous populations: A narrative review. SHILAP Revista de lepidopterología. 3. 100043–100043. 5 indexed citations

18.

Merkin, Alexander, Oleg N. Medvedev, Perminder S. Sachdev, et al.. (2019). New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment. Journal of Affective Disorders. 264. 7–14. 8 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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