Sayani Adak

548 citations
14 papers · 386 indexed · h-index 7
Topics
COVID-19 epidemiological studies (8 papers)Mathematical and Theoretical Epidemiology and Ecology Models (6 papers)Fractional Differential Equations Solutions (4 papers)
Partner nations
IndiaSingaporeNepal

In The Last Decade

Sayani Adak

12 papers receiving 369 citations

Peers

Sayani Adak
Comparison fields: 5 of 76
  • Modeling and Simulation 313
  • Public Health, Environmental and Occupational Health 184
  • Infectious Diseases 104
  • Economics and Econometrics 75
  • Radiology, Nuclear Medicine and Imaging 36
Replace Anupam Khatua with:
Anupam Khatua India
Suwardi Annas Indonesia
Manotosh Mandal India
Syafruddin Side Indonesia
Evan L Ray United States
Faïçal Ndaïrou Portugal
Muhammad Isbar Pratama Indonesia
Swapan Kumar Nandi India
Khondoker Nazmoon Nabi Bangladesh
Piu Samui India
Sayani Adak relative to Anupam Khatua India Anupam Khatua's profile →
Citations per field
00.5×1.5×
Anupam Khatua · 1×
Citations per year

Countries citing papers authored by Sayani Adak

Since Specialization
Citations

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

Fields of papers citing papers by Sayani Adak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayani Adak

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 6
6 2
7 5
8 33
9 3
10 8
11 10
12 289
13 12
14 15

About Sayani Adak

Sayani Adak is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Modeling and Simulation (313 citations), Public Health, Environmental and Occupational Health (184 citations) and Infectious Diseases (104 citations). Sayani Adak has collaborated with scholars based in India, Singapore and Nepal. Frequent co-authors include Soovoojeet Jana, T. K. Kar, Manotosh Mandal, Swapan Kumar Nandi, Anupam Khatua and Sankar K. Pal. Their work appears in journals such as Chaos Solitons & Fractals, The European Physical Journal B and Journal of Computational and Applied Mathematics.

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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