Prajjwal Pyakurel

539 citations
33 papers · 257 indexed · h-index 10
Topics
Global Public Health Policies and Epidemiology (7 papers)COVID-19 and Mental Health (5 papers)Global Maternal and Child Health (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBMC Public Health
Partner nations
NepalUnited StatesFrance

In The Last Decade

Prajjwal Pyakurel

26 papers receiving 253 citations

Peers

Prajjwal Pyakurel
Comparison fields: 5 of 92
  • Public Health, Environmental and Occupational Health 55
  • Clinical Psychology 48
  • General Health Professions 42
  • Epidemiology 40
  • Endocrinology, Diabetes and Metabolism 36
Replace Prashant Jarhyan with:
Prashant Jarhyan India
Nikhil Srinivasapura Venkateshmurthy India
Pablo Méndez‐Hernández Mexico
Karl Emmert-Fees Germany
Natisha Dukhi South Africa
Md Zabir Hasan United States
Shaohua Yin China
Abha Mangal India
Faith Agbozo Ghana
Gourab Adhikary Bangladesh
Prajjwal Pyakurel relative to Prashant Jarhyan India Prashant Jarhyan's profile →
Citations per field
00.5×1.5×
Prashant Jarhyan · 1×
Citations per year

Countries citing papers authored by Prajjwal Pyakurel

Since Specialization
Citations

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

Fields of papers citing papers by Prajjwal Pyakurel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prajjwal Pyakurel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 1
5 0
6 0
7 0
8 0
9 32
10 5
11 9
12 15
13 2
14 58
15 9
16 12
17 24
18 8
19 8
20 19

About Prajjwal Pyakurel

Prajjwal Pyakurel is a scholar working on Organizational Behavior and Human Resource Management, Modeling and Simulation and Applied Microbiology and Biotechnology, having authored 33 papers that have together received 257 indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (7 papers), COVID-19 and Mental Health (5 papers) and Global Maternal and Child Health (5 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Health (23 citations) and Clinical Psychology (48 citations). Prajjwal Pyakurel has collaborated with scholars based in Nepal, United States and France. Frequent co-authors include Nilambar Jha, Saroj Rai, Anup Ghimire, Madhab Lamsal, Paras Kumar Pokharel, Prahlad Karki, David A. Groneberg, Surya Raj Niraula, Tariq Ismail and Meghnath Dhimal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

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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