Madhu Pinto

28 total papers · 502 total citations
24 papers, 363 citations indexed

About

Madhu Pinto is a scholar working on Clinical Psychology, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Madhu Pinto has authored 24 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Psychology, 9 papers in Psychiatry and Mental health and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Madhu Pinto's work include Family and Disability Support Research (17 papers), Cerebral Palsy and Movement Disorders (9 papers) and Inclusion and Disability in Education and Sport (5 papers). Madhu Pinto is often cited by papers focused on Family and Disability Support Research (17 papers), Cerebral Palsy and Movement Disorders (9 papers) and Inclusion and Disability in Education and Sport (5 papers). Madhu Pinto collaborates with scholars based in Canada, United States and Australia. Madhu Pinto's co-authors include Gillian King, Laura Thompson, Lisa A. Chiarello, Jenny Ziviani, Beata Batorowicz, Matthew J. W. McLarnon, Patty Rigby, Gail Teachman, Bhavnita Mistry and Michelle Phoenix and has published in prestigious journals such as Journal of Medical Internet Research, Disability and Rehabilitation and Research in Developmental Disabilities.

In The Last Decade

Madhu Pinto

23 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Madhu Pinto	207	141	74	67	60	24	363
Anne‐Stine Dolva	130 0.6×	100 0.7×	50 0.7×	47 0.7×	58 1.0×	24	319
Sara Nijs	147 0.7×	66 0.5×	68 0.9×	33 0.5×	69 1.1×	28	319
Gregor Maxwell	192 0.9×	161 1.1×	42 0.6×	67 1.0×	55 0.9×	19	306
Michelle Servais	182 0.9×	86 0.6×	61 0.8×	77 1.1×	19 0.3×	24	360
Gloria Frolek Clark	121 0.6×	124 0.9×	121 1.6×	51 0.8×	38 0.6×	32	391
Kris Pizur‐Barnekow	168 0.8×	95 0.7×	99 1.3×	88 1.3×	16 0.3×	32	351
Benjamin Milbourn	137 0.7×	88 0.6×	50 0.7×	19 0.3×	78 1.3×	30	314
Rosalind Bye	176 0.9×	110 0.8×	69 0.9×	35 0.5×	46 0.8×	26	390
Monica Dowling	154 0.7×	57 0.4×	22 0.3×	47 0.7×	89 1.5×	25	376
Elizabeth Morgan	212 1.0×	103 0.7×	21 0.3×	40 0.6×	32 0.5×	17	379

Countries citing papers authored by Madhu Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Madhu Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Pinto. A scholar is included among the top collaborators of Madhu Pinto 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 Madhu Pinto. Madhu Pinto 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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