А. Г. Махрова

590 total citations
47 papers, 385 citations indexed

About

А. Г. Махрова is a scholar working on Demography, Urban Studies and Sociology and Political Science. According to data from OpenAlex, А. Г. Махрова has authored 47 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Demography, 23 papers in Urban Studies and 11 papers in Sociology and Political Science. Recurrent topics in А. Г. Махрова's work include Regional Socio-Economic Development Trends (38 papers), Urbanization and City Planning (22 papers) and Arctic and Russian Policy Studies (10 papers). А. Г. Махрова is often cited by papers focused on Regional Socio-Economic Development Trends (38 papers), Urbanization and City Planning (22 papers) and Arctic and Russian Policy Studies (10 papers). А. Г. Махрова collaborates with scholars based in Russia, Tajikistan and Kazakhstan. А. Г. Махрова's co-authors include Oleg Golubchikov, Anna Badyina, P. L. Kirillov, Т. Г. Нефедова, Judith Pallot, Andrey Medvedev, Nicholas A. Phelps, О. А. Голубчиков, Isolde Bradе and Liang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Urban Studies and Sustainable Cities and Society.

In The Last Decade

А. Г. Махрова

36 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
А. Г. Махрова Russia	11	203	203	114	53	45	47	385
Tamara Weyman France	5	297 1.5×	109 0.5×	112 1.0×	85 1.6×	24 0.5×	8	402
Alois Humer Austria	12	143 0.7×	46 0.2×	65 0.6×	111 2.1×	133 3.0×	25	371
Onofre Rullán Salamanca Spain	13	103 0.5×	211 1.0×	130 1.1×	62 1.2×	7 0.2×	46	418
Martin Ouředníček Czechia	13	460 2.3×	107 0.5×	138 1.2×	99 1.9×	45 1.0×	28	623
Rūta Ubarevičienė Lithuania	9	162 0.8×	47 0.2×	94 0.8×	78 1.5×	31 0.7×	35	287
John Sayas Greece	9	131 0.6×	52 0.3×	158 1.4×	90 1.7×	12 0.3×	14	342
Luis Fuentes Chile	12	152 0.7×	65 0.3×	77 0.7×	40 0.8×	12 0.3×	30	349
Jay Karecha United Kingdom	5	253 1.2×	56 0.3×	82 0.7×	201 3.8×	42 0.9×	5	483
Vassilis P. Arapoglou Greece	8	149 0.7×	37 0.2×	141 1.2×	104 2.0×	80 1.8×	11	337
Tim Rieniets Switzerland	4	281 1.4×	66 0.3×	130 1.1×	65 1.2×	11 0.2×	7	362

Countries citing papers authored by А. Г. Махрова

Since Specialization

Citations

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

Fields of papers citing papers by А. Г. Махрова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. Г. Махрова. 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 А. Г. Махрова. The network helps show where А. Г. Махрова may publish in the future.

Co-authorship network of co-authors of А. Г. Махрова

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

All Works

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20 of 20 papers shown

Zhang, Peiran, Fabiano L. Ribeiro, P. L. Kirillov, et al.. (2025). Quantifying contributions of geographical features to urban GDP outputs via interpretable machine learning. Sustainable Cities and Society. 121. 106185–106185. 4 indexed citations

Махрова, А. Г., et al.. (2024). Foreign Migrants in the Moscow Agglomeration: Spatio-Temporal Analysis Based on Mobile Network Operator Data. Regional Research of Russia. 14(3). 420–430. 1 indexed citations

Махрова, А. Г., et al.. (2024). Spatiotemporal commuting patterns in Moscow region. Journal of the New Economic Association. 249–256. 1 indexed citations

Kirillov, P. L., et al.. (2023). Shrinking cities in post-Soviet Russia. 79(1). 4–18.

Махрова, А. Г., et al.. (2023). Moscow Oblast: Territorial Structure of Post-Soviet Transformations. Izvestiya Rossiiskoi Akademii Nauk Seriya Geograficheskaya. 87(8). 1207–1223.

Махрова, А. Г., et al.. (2023). The Latest History of the Development of Kazakhstan’s Urban Agglomerations. Regional Research of Russia. 13(2). 316–327. 2 indexed citations

Махрова, А. Г.. (2021). The Seasonal Dacha Settlement Pattern as an Indicator of Spatial Development Contrasts. Regional Research of Russia. 11(2). 199–211. 6 indexed citations

Махрова, А. Г., et al.. (2020). The Dynamics of the Day and Night Population as an Indicator of Structural and Functional Changes in the Territory of the City in the Zone of Influence of the Moscow Central Ring Using Data from Mobile Operators. SHILAP Revista de lepidopterología. 13(1). 159–179. 6 indexed citations

Махрова, А. Г., et al.. (2020). The research of demographical indicators of the population’s quality of life for sustainable development of Almaty region. SHILAP Revista de lepidopterología. 159. 5010–5010. 1 indexed citations

10.

Kirillov, P. L., et al.. (2019). Directed suburbanization in a changing context: “New Moscow” today. Eurasian Geography and Economics. 61(3). 211–239. 12 indexed citations

11.

Махрова, А. Г., et al.. (2018). Analyzing local labor markets through commuting (a study of Moscow municipalities). Vestnik of Saint Petersburg University Earth Sciences. 63(1). 6 indexed citations

12.

Махрова, А. Г., et al.. (2017). Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data. Regional Research of Russia. 7(1). 36–44. 21 indexed citations

13.

Махрова, А. Г., et al.. (2016). The Central Russian megalopolis: polarization of space and population mobility. 77–85. 9 indexed citations

14.

Махрова, А. Г. & P. L. Kirillov. (2016). Seasonal pulsation of settlement pattern in the Moscow agglomeration under the influence of dacha and work commuting: Approaches to studies and assessment. Regional Research of Russia. 6(1). 1–8. 22 indexed citations

15.

Kirillov, P. L., et al.. (2016). Between home and ... home. Recurrent spatial mobility of the Russian population. 20 indexed citations

16.

Bradе, Isolde, et al.. (2015). Specifi c Features of Suburbanization in Moscow Agglomeration in the Post-Soviet Era. Izvestiâ Akademii nauk SSSR. Seriâ geografičeskaâ. 19–19. 3 indexed citations

17.

Махрова, А. Г.. (2014). The role of organized cottage settlements in suburbanization processes in post-Soviet Russia. Regional Research of Russia. 4(3). 189–197. 10 indexed citations

18.

Махрова, А. Г., et al.. (2012). Российский город в условиях капитализма: социальная трансформация внутригородского пространства. 5(2). 26–31. 1 indexed citations

19.

Махрова, А. Г. & Oleg Golubchikov. (2012). Rossiyskiy gorod v usloviyakh kapitalisma: sotsialnaya tranformatsiya vnutrigorodskogo prostranstva [Russian town under capitalism: social transformation of intraurban space]. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations

20.

Махрова, А. Г., et al.. (2002). ДИФФЕРЕНЦИАЦИЯ НА РЫНКЕ ЖИЛЬЯ В МОСКВЕ КАК ПРОЯВЛЕНИЕ СОЦИАЛЬНОГО РАССЛОЕНИЯ НАСЕЛЕНИЯ. 60–60. 1 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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