Dmitriy Viderman

1.3k total citations
70 papers, 527 citations indexed

About

Dmitriy Viderman is a scholar working on Surgery, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Dmitriy Viderman has authored 70 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 21 papers in Anesthesiology and Pain Medicine and 13 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Dmitriy Viderman's work include Anesthesia and Pain Management (25 papers), Nausea and vomiting management (14 papers) and Anesthesia and Sedative Agents (14 papers). Dmitriy Viderman is often cited by papers focused on Anesthesia and Pain Management (25 papers), Nausea and vomiting management (14 papers) and Anesthesia and Sedative Agents (14 papers). Dmitriy Viderman collaborates with scholars based in Kazakhstan, Italy and Spain. Dmitriy Viderman's co-authors include Yerkin G. Abdildin, Antonio Sarría‐Santamera, Federico Bilotta, Evgeni Brotfain, Min-Ho Lee, Rafael Badenes, Bruce Ben-David, Charles Gilman, Dimitri Poddighe and Alpamys Issanov and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Academic Emergency Medicine and International Journal of Medical Informatics.

In The Last Decade

Dmitriy Viderman

58 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitriy Viderman Kazakhstan 14 200 126 101 82 60 70 527
Guillaume Besch France 14 152 0.8× 111 0.9× 184 1.8× 132 1.6× 76 1.3× 39 616
Milan Adamus Czechia 14 210 1.1× 224 1.8× 59 0.6× 74 0.9× 40 0.7× 46 484
Serkan Bïlgïç Türkiye 15 244 1.2× 105 0.8× 42 0.4× 37 0.5× 48 0.8× 40 498
Young‐Eun Jang South Korea 15 340 1.7× 256 2.0× 130 1.3× 149 1.8× 39 0.7× 145 929
Georgia Tsaousi Greece 17 350 1.8× 152 1.2× 77 0.8× 128 1.6× 52 0.9× 73 847
Stephan Ziegeler Germany 13 227 1.1× 275 2.2× 73 0.7× 83 1.0× 66 1.1× 38 643
G. D. Puri India 11 226 1.1× 225 1.8× 100 1.0× 122 1.5× 37 0.6× 39 535
Wojciech Gaszyński Poland 11 195 1.0× 175 1.4× 111 1.1× 114 1.4× 91 1.5× 52 535
Hiroshi Hinohara Japan 11 99 0.5× 47 0.4× 69 0.7× 114 1.4× 45 0.8× 47 374
Edmundas Širvinskas Lithuania 16 223 1.1× 91 0.7× 148 1.5× 257 3.1× 36 0.6× 62 616

Countries citing papers authored by Dmitriy Viderman

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy Viderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitriy Viderman

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitriy Viderman. A scholar is included among the top collaborators of Dmitriy Viderman 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 Dmitriy Viderman. Dmitriy Viderman 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.
Suleimenova, Diana, et al.. (2025). The value of machine and deep learning in management of critically ill patients: An umbrella review. International Journal of Medical Informatics. 204. 106081–106081. 1 indexed citations
2.
3.
Haas, Nathan L., Dmitriy Viderman, Richard T. Griffey, et al.. (2025). National Intensive Care Unit Utilization for Diabetic Ketoacidosis Increased From 2012 to 2022. Academic Emergency Medicine. 32(11). 1248–1250.
4.
Viderman, Dmitriy, et al.. (2025). Effects of Transcranial Direct Current Stimulation on pain and pain-related outcomes: an umbrella review. The Korean journal of pain. 38(4). 449–471.
5.
Viderman, Dmitriy, et al.. (2024). The Impact of Ketamine on Outcomes in Acute Pain Management: An Umbrella Review. Journal of Clinical Medicine. 13(24). 7699–7699.
6.
Viderman, Dmitriy, et al.. (2024). Artificial Intelligence in the Management of Patients with Respiratory Failure Requiring Mechanical Ventilation: A Scoping Review. Journal of Clinical Medicine. 13(24). 7535–7535. 6 indexed citations
7.
Viderman, Dmitriy, et al.. (2024). The Effects of Dexmedetomidine on Pain-Related Outcomes in Craniotomy: A Systematic Review and Meta-Analysis. World Neurosurgery. 190. e93–e108.
8.
9.
Viderman, Dmitriy, Federico Bilotta, Rafael Badenes, & Yerkin G. Abdildin. (2023). Manejo anestésico de los procedimientos neuroquirúrgicos endovasculares en pacientes con accidente cerebrovascular isquémico: revisión sistemática de metaanálisis. Revista Española de Anestesiología y Reanimación. 70(10). 580–592. 1 indexed citations
10.
Abdildin, Yerkin G., et al.. (2023). Safinamide for pain management in patients with Parkinson's disease. Revue Neurologique. 181(1-2). 11–20. 1 indexed citations
11.
Lee, Min-Ho, et al.. (2023). Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review. Journal of Clinical Medicine. 12(10). 3446–3446. 13 indexed citations
12.
Abdildin, Yerkin G., et al.. (2023). Epidural Dexamethasone for Acute Postoperative Pain Management: A Systematic Review with Meta-Analysis. Pain Management. 13(2). 129–141. 2 indexed citations
13.
Abdildin, Yerkin G., et al.. (2023). Transversus abdominis plane block in adult open liver surgery patients: A systematic review with meta-analysis of randomized controlled trials. Journal of Visceral Surgery. 160(4). 253–260. 3 indexed citations
14.
15.
Viderman, Dmitriy, Federico Bilotta, Rafael Badenes, & Yerkin G. Abdildin. (2023). Anesthetic management of endovascular neurosurgical procedures in acute ischemic stroke patients: A systematic review of meta-analyses. Revista Española de Anestesiología y Reanimación (English Edition). 70(10). 580–592.
16.
Viderman, Dmitriy, et al.. (2023). Artificial Intelligence in Resuscitation: A Scoping Review. Journal of Clinical Medicine. 12(6). 2254–2254. 17 indexed citations
17.
Viderman, Dmitriy, et al.. (2023). Effect of Ketamine on Postoperative Neurocognitive Disorders: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 12(13). 4314–4314. 15 indexed citations
18.
Viderman, Dmitriy, et al.. (2021). Erector spinae plane block in acute interventional pain management: a systematic review. Scandinavian Journal of Pain. 21(4). 671–679. 16 indexed citations
19.
Viderman, Dmitriy, et al.. (2018). Bacterial resistance in the intensive care unit of developing countries: Report from a tertiary hospital in Kazakhstan. Journal of Global Antimicrobial Resistance. 17. 35–38. 23 indexed citations
20.
Gilman, Charles, et al.. (2015). Management of Super-Refractory Status Epilepticus with Isoflurane and Hypothermia. Frontiers in Neurology. 5. 286–286. 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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