Bikash Barman

1.3k total citations · 1 hit paper
10 papers, 798 citations indexed

About

Bikash Barman is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and General Health Professions. According to data from OpenAlex, Bikash Barman has authored 10 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 4 papers in Nutrition and Dietetics and 2 papers in General Health Professions. Recurrent topics in Bikash Barman's work include Global Maternal and Child Health (5 papers), Child Nutrition and Water Access (4 papers) and COVID-19 Pandemic Impacts (2 papers). Bikash Barman is often cited by papers focused on Global Maternal and Child Health (5 papers), Child Nutrition and Water Access (4 papers) and COVID-19 Pandemic Impacts (2 papers). Bikash Barman collaborates with scholars based in India. Bikash Barman's co-authors include Pradip Chouhan, Jay Saha, Pintu Paul, Ankita Zaveri, Avijit Roy, Nanigopal Kapasia, Rahul Mallick, Prabir Das, Subhankar Singha and Arun Agarwalla and has published in prestigious journals such as PLoS ONE, BMC Public Health and Children and Youth Services Review.

In The Last Decade

Bikash Barman

8 papers receiving 739 citations

Hit Papers

Impact of lockdown on learning status of undergraduate an... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bikash Barman India 7 291 252 134 118 100 10 798
Jay Saha India 13 299 1.0× 252 1.0× 134 1.0× 145 1.2× 118 1.2× 23 975
Avijit Roy India 9 275 0.9× 249 1.0× 131 1.0× 78 0.7× 83 0.8× 37 743
Ankita Zaveri India 7 272 0.9× 245 1.0× 130 1.0× 69 0.6× 93 0.9× 10 672
Prabir Das India 8 269 0.9× 245 1.0× 131 1.0× 73 0.6× 96 1.0× 21 823
Nanigopal Kapasia India 7 272 0.9× 249 1.0× 131 1.0× 71 0.6× 46 0.5× 13 641
Amer Hasan United States 15 210 0.7× 452 1.8× 113 0.8× 101 0.9× 41 0.4× 41 906
Mark D. Verhagen United Kingdom 8 371 1.3× 456 1.8× 134 1.0× 95 0.8× 30 0.3× 17 1.1k
Rahul Mallick India 4 267 0.9× 245 1.0× 130 1.0× 71 0.6× 24 0.2× 8 605
Arun Frey United Kingdom 7 383 1.3× 455 1.8× 131 1.0× 66 0.6× 23 0.2× 11 1.0k
Pintu Paul India 17 312 1.1× 257 1.0× 135 1.0× 95 0.8× 435 4.3× 41 1.3k

Countries citing papers authored by Bikash Barman

Since Specialization
Citations

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

Fields of papers citing papers by Bikash Barman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bikash Barman

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

All Works

10 of 10 papers shown
3.
Zaveri, Ankita, Pintu Paul, Jay Saha, Bikash Barman, & Pradip Chouhan. (2021). Correction: Maternal determinants of low birth weight among Indian children: Evidence from the National Family Health Survey-4, 2015-16. PLoS ONE. 16(4). e0250140–e0250140. 18 indexed citations
5.
Saha, Jay, Bikash Barman, & Pradip Chouhan. (2020). Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 Community Mobility Reports, 2020. Children and Youth Services Review. 116. 105160–105160. 115 indexed citations
6.
Kapasia, Nanigopal, Pintu Paul, Avijit Roy, et al.. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review. 116. 105194–105194. 543 indexed citations breakdown →
7.
Zaveri, Ankita, Pintu Paul, Jay Saha, Bikash Barman, & Pradip Chouhan. (2020). Maternal determinants of low birth weight among Indian children: Evidence from the National Family Health Survey-4, 2015-16. PLoS ONE. 15(12). e0244562–e0244562. 30 indexed citations
8.
Roy, Avijit, Pintu Paul, Jay Saha, et al.. (2020). Prevalence and correlates of menstrual hygiene practices among young currently married women aged 15–24 years: an analysis from a nationally representative survey of India. The European Journal of Contraception & Reproductive Health Care. 26(1). 1–10. 31 indexed citations
9.
Barman, Bikash, Avijit Roy, Ankita Zaveri, Jay Saha, & Pradip Chouhan. (2020). Determining factors of institutional delivery in India: A study from National Family Health Survey-4 (2015–16). Clinical Epidemiology and Global Health. 8(4). 1335–1340. 16 indexed citations
10.
Barman, Bikash, Jay Saha, & Pradip Chouhan. (2019). Impact of education on the utilization of maternal health care services: An investigation from National Family Health Survey (2015–16) in India. Children and Youth Services Review. 108. 104642–104642. 44 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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