Mandar Paradkar

1.6k citations
24 papers · 540 indexed · 1 hit paper · h-index 7

Mandar Paradkar

20 papers receiving 527 citations

Hit Papers

Association Between Portable Screen-Based Media Device Ac...4192016202620192022100200300400

Peers

Mandar Paradkar
Comparison fields: 5 of 89
  • Experimental and Cognitive Psychology 182
  • Education 200
  • Applied Psychology 31
  • Endocrine and Autonomic Systems 32
  • Sociology and Political Science 198
Replace Yangfeng Guo with:
Yangfeng Guo China
Christina Frederick United States
Clara Paz Ecuador
Özlem Örsal Türkiye
Yufen Tao China
Dorothy E. Warner United States
Melissa Flores United States
Kathy L. Bradley‐Klug United States
Irene Portilla Spain
Joanna Caust Australia
Mandar Paradkar relative to Yangfeng Guo China Yangfeng Guo's profile →
Citations per field
00.5×4.2×
Yangfeng Guo · 1×
Citations per year

Countries citing papers authored by Mandar Paradkar

Since Specialization
Citations

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

Fields of papers citing papers by Mandar Paradkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mandar Paradkar, 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 Mandar Paradkar Line = papers co-authored together Mandar Paradkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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13 20226
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15 20218
16 202026
17 20194
18 20196
19 20187
20 201818

About Mandar Paradkar

Mandar Paradkar is a scholar working on Infectious Diseases, Biological Psychiatry and Microbiology, having authored 24 papers that have together received 540 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (7 papers), Infectious Diseases and Tuberculosis (5 papers), Pharmaceutical studies and practices (4 papers), Pneumonia and Respiratory Infections (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (182 citations), Education (200 citations) and Applied Psychology (31 citations). Mandar Paradkar has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Philippa Rees, D Bhattacharjee, Lauren Hale, Ben Carter, Amita Gupta, Vidya Mave, Nikhil Gupte, Vandana Kulkarni, Aarti Kinikar and Neeta Pradhan. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, The Journal of Infectious Diseases, Clinical Infectious Diseases, iScience and British Journal of Clinical Pharmacology.

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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