Devarpita Sinha

22 papers receiving 419 citations

Peers

Devarpita Sinha
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 97
  • Internal Medicine 19
  • Industrial and Manufacturing Engineering 50
  • Rheumatology 57
  • Urology 20
Replace Felix Güttler with:
Felix Güttler Germany
P. Galinier France
Lior Drukker United Kingdom
Yutao Li China
Naoaki Sato Japan
Michael Gebhardt Germany
Mayank Agrawal India
Aaron D. Martin United States
Rohit Ghosh India
Devarpita Sinha relative to Felix Güttler Germany Felix Güttler's profile →
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Citations per year

Countries citing papers authored by Devarpita Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Devarpita Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Devarpita Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devarpita Sinha Line = papers co-authored together Devarpita Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200781
2 202077
3 200755
4 200531
5 201628
6
Reuse of pacemaker.
199727
7 200819
8 201918
9 200718
10 200616
11 200716
12 202014
13 200610
14 20079
15 19797
16 20166
17 20216
18 20165
19 20163
20 20092

About Devarpita Sinha

Devarpita Sinha is a scholar working on Rheumatology, Surgery, Computer Networks and Communications, Public Health, Environmental and Occupational Health and Electrical and Electronic Engineering, having authored 22 papers that have together received 451 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (5 papers), Age of Information Optimization (3 papers), Advancements in PLL and VCO Technologies (3 papers), Digital Filter Design and Implementation (3 papers), Congenital Heart Disease Studies (3 papers), Cognitive Functions and Memory (2 papers), Pregnancy and Medication Impact (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Obstetrics and Gynecology (97 citations), Internal Medicine (19 citations), Industrial and Manufacturing Engineering (50 citations), Rheumatology (57 citations) and Urology (20 citations). Devarpita Sinha has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Rajarshi Roy, T. Justin Clark, JK Gupta, A. S. Arunkalaivanan, Sanjay Kumar, Asha Sharma, Alexandra Blackwell, Paul Moran, Abhirup Chatterjee and Sachin Kumar. Their work appears in journals such as Obstetrical & Gynecological Survey, European Journal of Obstetrics & Gynecology and Reproductive Biology, IEEE Access, IEEE Sensors Journal and BJOG An International Journal of Obstetrics & Gynaecology.

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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