Disaster medicine: analysis of research papers by Russian investigators based on artificial intelligence methods (2005–2021)

emergency, disaster medicine, science of science, scientometrics, artificial intelligence, machine learning, neural networks, cluster analysis, scientific article

1. Aleksanin S.S., Evdokimov V.I., Rybnikov V.Yu., Chernov K.A. Meditsina katastrof: metaanaliz nauchnykh statei i dissertatsii po spetsial’nosti 05.26.02 “Bezopasnost’ v chrezvychainykh situatsiyakh” (2005–2017 gg.) [Disaster medicine: meta-analysis of scientific articles and dissertations in the specialty 05.26.02 “Safety in emergency situations” (2005–2017)]. St. Petersburg. 2019. 293 p. (In Russ.)

2. Artamonov A.S., Evdokimov V.I., Stebunov S.V. Publikacionnaja dejatel’nost’ i naukometricheskie pokazateli zhurnal’nyh statej obrazovatel’nyh organizacij MChS Rossii [Publication activities and scientometric indices of journal articles educational organizations of EMERCOM of Russia]. Nauchnye i obrazovatel’nye problemy grazhdanskoi zashchity [Scientific and educational problems of civil protection]. 2016; (1):84–93. (In Russ.)

3. Bondar A.I., Evdokimov V.I., Rybnikov V.Ju. Analiz nauchnyh statej, opublikovannyh sotrudnikami organizacij MChS Rossii (2010–2019 gg.) [Analysis of scientific articles published by employees of organizations of EMERCOM of Russia (2010–2019)]. Pozhary i chrezvychainye situacii: predotvrashhenie, likvidacija [Fires and emergencies: prevention, liquidation]. 2021; (1):5–18. DOI: 10.25257/FE.2021.1.5-18. (In Russ.)

4. Boukhanovsky A.V., Ivanov S.V., Koval’chuk S.V., Nechaev Yu.I. Ontologicheskaya sistema znanii i vychislitel’nykh resursov sovremennykh intellektual’nykh tekhnologii [Ontological system of knowledge and computing resources of modern intellectual technologies]. Ontologiya proektirovaniya [Ontology of designing]. 2020; 10(1):22–33. DOI: 10.18287/2223-9537-2020-10-1-22-33. (In Russ.)

5. Vinogradov O.V., Morozova O.A. Aspekty primeneniya nejronnyh setej dlya prognozirovan iya chrezvychajnyh situacij [Aspects of neural networks use for predicting emergency situations]. Tekhnologii grazhdanskoj bezopasnosti [Civil Security Technologies]. 2021; 18(1):23–26. DOI: 10.54234/CST.19968493.2021.18.1.67.4.23. (In Russ.)

6. Danilov G.V., ZHukov V.V., Kulikov A.S. [et al.]. Sravnitel’nyj analiz statisticheskih metodov klassifikacii nauchnyh publikacij v oblasti mediciny [Comparative analysis of statistical methods of scientific publications classification in medicine]. Komp’yuternye issledovaniya i modelirovanie [Computer research and modeling]. 2020; 12(4):921–933. DOI: 10.20537/2076-7633-2020-12-4-921-933. (In Russ.)

7. Evdokimov V.I. Naukometricheskij analiz otechestvennyh i zarubezhnyh nauchnyh statej v sfere chrezvychajnyh situacij (2005–2014 gg.) [Scientometric analysis of domestic and foreign scientific articles on emergency situations (2005–2014]. St. Petersburg. 2015. 110 p. (In Russ.)

8. Evdokimov V.I. Naukometricheskij analiz nauchnyh statej po mediko-biologicheskim problemam u specialistov jekstremal’nyh professij na Krajnem Severe Rossii (2005–2016 gg.) [Scientometric analysis of scientific articles on medical and biological issues in professionals with extreme jobs in the Far North of Russia (2005–2016)]. St. Petersburg. 2017. 78 p. (In Russ.)

9. Evdokimov V.I., Glukhov V.A. Kompleksnyj ball publikacionnoj rezul’tativnosti vedushhih organizacij MChS Rossii (2005–2019 gg.) [Integrated score of publication performance of leading organizations of EMERCOM of Russia (2005-2019)]. Mediko-biologicheskie i social’no-psihologicheskie problemy bezopasnosti v chrezvychajnyh situaciyah [Medical-biological and socio-psychological problems of safety in emergency situations]. 2020; (2):109–119. DOI: 10.25016/2541-7487-2020-0-2-109-119. (In Russ.)

10. Evdokimov V.I., Glukhov V.A., Grigoriev S.G. Publikacionnaja aktivnost’ i naukometricheskie pokazateli statej v nauchnyh uchrezhdenijah po psihiatrii i narkologii (2005–2014 gg.) [Publication activity and scientometric indices of articles from scientific institutions for mental health and narcology (2005–2014)]. Vestnik psikhoterapii [Bulletin of psychotherapy]. 2015; 56):61–78. (In Russ.)

11. Evdokimov V.I., Mukhina N.A. Naukometricheskie pokazateli statej po psihoterapii (2002–2011 gg.) [Scientometric indicators of articles on psychotherapy (2002–2011)]. Vestnik psikhoterapii [Bulletin of psychotherapy]. 2013; (45):25–46. (In Russ.)

12. Evdokimov V.I., Rybnikov V.Ju., Shamrey V.K. Naukometricheskie pokazateli otechestvennyh statej po boevomu stressu v rossijskom indekse nauchnogo citirovanija (2008–2017 gg.) [Scientometric indicators of domestic articles on the battle stress in the Russian Science Citation Index (2008–2017)]. Vestnik psikhoterapii [Bulletin of psychotherapy]. 2018; (66);102–136. (In Russ.)

13. Evdokimov V.I., Ushakov I.B. Naukometricheskij analiz otechestvennyh statej po morskoj medicine: sostojanie i puti integracii v mezhdunarodnoe nauchnoe soobshhestvo [Scientometric analysis of national papers on marine medicine: current status and integration into the international scientific community]. Morskaja medicina [Marine medicine]. 2016; (2):7–18. (In Russ.)

14. Evdokimov V.I., Chernov K.A. Medicina katastrof: ob”ekt izucheniya i naukometricheskij analiz otechestvennyh nauchnyh statej (2005–2017 gg.) [Disaster medicine: object of study and scientometric analysis of domestic scientific articles (2005–2017)]. Mediko-biologicheskie i social’no-psihologicheskie problemy bezopasnosti v chrezvychajnyh situaciyah [Medical-biological and socio-psychological problems of safety in emergency situations]. 2018; (3):98–117. DOI: 10.25016/2541-7487-2018-0-3-98-117. (In Russ.)

15. Evdokimov V.I., Chernov K.A. Sozdanie klassifikatora nauchnykh publikatsii “Meditsina katastrof. Sluzhba meditsiny katastrof” [Elaboration of scientific publications classifier of “Disaster medicine. Service for disaster medicine”]. Meditsina katastrof [Disaster medicine]. 2019; (1):59–62. DOI: 10.33266/2070-1004-2019-1-59-62. (In Russ.)

16. Nizomutdinov B.A., Kremen’ T.A. Sbor i obrabotka tekstovykh dannykh iz gorodskikh kanalov v messendzhere Telegram dlya poiska informatsii o proisshestviyakh [Collection and processing of text data from city in the Telegram messenger channels to search for information about incidents]. Upravlenie informatsionnymi resursami [Management of information resources]: materials of the XVIII International scientific-practical conference. Minsk. 2022; 385–386. (In Russ.)

17. Orlov G.M., Ignat’eva O.A., Vasin A.G., Nizomutdinov B.A. Sovremennye metody obrabotki i analiza dannykh [Modern methods of data processing and analysis]. Natsional’nyi issledovatel’skii universitet ITMO [National Research University ITMO]. St. Petersburg. 2021. 147 p. (In Russ.)

18. Soldatenko D.M. Iskusstvennyj intellekt: proshloe, nastoyashchee i budushchee [Artificial intelligence: past, present and future]. Rossijskij vneshneekonomicheskij vestnik [Russian Foreign Economic Journal]. 2020; (9):127–134. DOI: 10.24411/2072-8042-2020-10096 (In Russ.)

19. Chernov K.A. Iskusstvennyj intellekt v sfere informacionnogo soprovozhdeniya chrezvychajnyh situaciy (obzor literatury) [Artificial intelligence in the field of information support of emergencies (literature review)]. Mediko-biologicheskie i sotsial’no-psikhologicheskie problemy bezopasnosti v chrezvychaynykh situatsiyakh [Medicо-biological and socio-psychological problems of safety in emergency situations]. 2022; (3):111–120. DOI: 10.25016/2541-74872022-0-3-111-120. (In Russ.)

20. Arslan M., Roxin A., Cruz C., Ginhac D. A review on applications of big data for disaster management. Proceedings of the 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). Jaipur, India. 2017; 370–375.

21. Chang R.H., Peng Y.T., Choi S., Cai C. Applying Artificial Intelligence (AI) to improve fire response activities. Emergency Management Science and Technology. 2022; 2:7. DOI: 10.48130/EMST-2022-0007.

22. Chen N., Liu W., Bai R., Chen A. [et al.]. Application of computational intelligence technologies in emergency management: a literature review. Artif. Intell. Rev. 2019; 52:2131–2168. DOI: 10.1007/s10462-017-9589-8.

23. Guleva V., Shikov E., Bochenina K. [et al.] Emerging complexity in distributed intelligent systems. Entropy. 2020; 22(12):1–26. DOI: 10.3390/e22121437.

24. Kanonirov A., Balabaeva K., Kovalchuk S. Statistical inference for clustering results interpretation in clinical practice. Studies in Health Technology and Informatics. 2021; 285:100–105. DOI: 10.3233/SHTI210580.

25. Kovalchuk S.V., Krzhizhanovskaya V.V., Sloot P.M.A. [et al.] 20 Years of computational science: selected papers from 2020 International conference on computational science. Journal of Computational Science. 2021; 53:101395. DOI: 10.1016/j.jocs.2021.101395.

26. Kovalchuk S.V., Krzhizhanovskaya V.V., Sloot P.M.A. [et al.]. Computational science for a better future. Journal of Computational Science. 2022; 62:101745. DOI: 10.1016/j.jocs.2022.101745.

27. Lopez-Fuentes L., Weijer J., González-Hidalgo M. [et al.]. Review on computer vision techniques in emergency situations. Multimedia Tools and Applications. 2017; 77:17069–17107. DOI:10.1007/s11042-017-5276-7.

28. Van Eck N.J., Waltman L. Visualizing bibliometric networks. Measuring scholarly impact : methods and practice. Eds.: Y. Ding, R. Rousseau, D. Wolfram. N.Y.: Springer Cham Heidelberg ; London : Dordrecht. 2014; 285–320.