Pavitra Singh

403 citations
18 papers · 278 · h-index 9

Impact in

Papers in

    • Granular flow and fluidized beds 10
    • Cyclone Separators and Fluid Dynamics 5
    • Heat and Mass Transfer in Porous Media 3
    • Food Drying and Modeling 6

Pavitra Singh

16 papers receiving 268 citations

Peers

Pavitra Singh
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 109
  • Food Science 59
  • Computational Mechanics 55
  • Public Health, Environmental and Occupational Health 60
  • Renewable Energy, Sustainability and the Environment 33
Replace Jonathan Pocock with:
Jonathan Pocock South Africa
Tomoo Sekito Japan
Sagar Kafle Nepal
Salim Serkan Nas Türkiye
Moh’d Abu-Qudais Jordan
Rui Liang China
Samwel Victor Manyele Tanzania
Yunardi Yunardi Indonesia
Eflita Yohana Indonesia
İbrahim Demir Türkiye
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Citations per field
00.5×8.6×
Jonathan Pocock · 1×
Citations per year

Countries citing papers authored by Pavitra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pavitra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Pavitra Singh, 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 Pavitra Singh Line = papers co-authored together Pavitra Singh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014128
2 202341
3 201217
4 202014
5 202112
6 202011
7 202111
8 202010
9 20239
10 20217
11 20217
12 20233
13 20253
14 20233
15 20231
16 20231
17 20200
18 20250

About Pavitra Singh

Pavitra Singh is a scholar working on Computational Mechanics, Food Science, Mechanical Engineering, Ocean Engineering and Biotechnology, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (10 papers), Food Drying and Modeling (6 papers), Cyclone Separators and Fluid Dynamics (5 papers), Particle Dynamics in Fluid Flows (4 papers), Phase Change Materials Research (3 papers), Heat and Mass Transfer in Porous Media (3 papers), Agricultural Engineering and Mechanization (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (109 citations), Food Science (59 citations), Computational Mechanics (55 citations), Public Health, Environmental and Occupational Health (60 citations) and Renewable Energy, Sustainability and the Environment (33 citations). Pavitra Singh has collaborated with scholars based in India, Vietnam and United Arab Emirates. Frequent co-authors include Surindra Suthar, Pinakeswar Mahanta, Pankaj Kalita, Fahid Riaz, Abrar Inayat, Akbar Arsalanloo, Basim M. Makhdoum, Bandar M. Fadhl, Kamel Guedri and Nehad Ali Shah. Their work appears in journals such as Drying Technology, Journal of Thermal Analysis and Calorimetry, International Communications in Heat and Mass Transfer, Journal of the Taiwan Institute of Chemical Engineers and Environmental Monitoring and Assessment.

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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