Lal Rawal

158 total papers · 68.5k total citations
83 papers, 2.0k citations indexed

About

Lal Rawal is a scholar working on Organizational Behavior and Human Resource Management, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lal Rawal has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organizational Behavior and Human Resource Management, 21 papers in Epidemiology and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lal Rawal's work include Global Public Health Policies and Epidemiology (24 papers), Chronic Disease Management Strategies (19 papers) and Healthcare Systems and Reforms (17 papers). Lal Rawal is often cited by papers focused on Global Public Health Policies and Epidemiology (24 papers), Chronic Disease Management Strategies (19 papers) and Healthcare Systems and Reforms (17 papers). Lal Rawal collaborates with scholars based in Australia, Bangladesh and Nepal. Lal Rawal's co-authors include Tuhin Biswas, Sheikh Mohammed Shariful Islam, André M. N. Renzaho, Sonia Pervin, Anwar Islam, Syed Masud Ahmed, Sarah P. Garnett, Uday Narayan Yadav, Abdullah Al Mamun and Brian Oldenburg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Lal Rawal

79 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lal Rawal 446 415 384 365 323 83 2.0k
Tuhin Biswas 352 0.8× 500 1.2× 298 0.8× 358 1.0× 261 0.8× 73 1.9k
Shiva Raj Mishra 752 1.7× 610 1.5× 541 1.4× 516 1.4× 308 1.0× 153 3.3k
Rohina Joshi 769 1.7× 504 1.2× 581 1.5× 549 1.5× 334 1.0× 142 2.7k
Ama de‐Graft Aikins 795 1.8× 717 1.7× 386 1.0× 692 1.9× 422 1.3× 108 3.1k
Charbel El Bcheraoui 578 1.3× 641 1.5× 187 0.5× 193 0.5× 194 0.6× 76 2.6k
Dinesh Neupane 329 0.7× 385 0.9× 232 0.6× 365 1.0× 228 0.7× 120 2.1k
Sitanshu Sekhar Kar 291 0.7× 406 1.0× 207 0.5× 209 0.6× 376 1.2× 211 2.1k
Siamak Alikhani 541 1.2× 673 1.6× 187 0.5× 203 0.6× 669 2.1× 38 2.1k
Nirmala Naidoo 794 1.8× 510 1.2× 198 0.5× 232 0.6× 124 0.4× 64 3.1k
Sandeep P. Kishore 593 1.3× 530 1.3× 380 1.0× 546 1.5× 146 0.5× 53 2.3k

Countries citing papers authored by Lal Rawal

Since Specialization
Citations

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

Fields of papers citing papers by Lal Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lal Rawal

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

All Works

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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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