Dilip C. Nath

94 total papers · 788 total citations
58 papers, 488 citations indexed

About

Dilip C. Nath is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Gender Studies. According to data from OpenAlex, Dilip C. Nath has authored 58 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 14 papers in Pediatrics, Perinatology and Child Health and 11 papers in Gender Studies. Recurrent topics in Dilip C. Nath's work include Demographic Trends and Gender Preferences (11 papers), Global Maternal and Child Health (10 papers) and Statistical Distribution Estimation and Applications (8 papers). Dilip C. Nath is often cited by papers focused on Demographic Trends and Gender Preferences (11 papers), Global Maternal and Child Health (10 papers) and Statistical Distribution Estimation and Applications (8 papers). Dilip C. Nath collaborates with scholars based in India, United States and United Kingdom. Dilip C. Nath's co-authors include Donna L. Leonetti, Kenneth C. Land, Vivek Verma, Ramesh Vishwakarma, Hafiz T. A. Khan, Kaushalendra Kumar Singh, Anita Verma, Ram Prakash, Mohammad Nazrul Islam and Matthew S. Steele and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Solid State Communications.

In The Last Decade

Dilip C. Nath

48 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Dilip C. Nath	138	110	82	76	74	58	488
Eshetu Gurmu	187 1.4×	151 1.4×	137 1.7×	78 1.0×	73 1.0×	43	543
Cyrus Ghaznavi	34 0.2×	54 0.5×	96 1.2×	40 0.5×	23 0.3×	39	540
Yothin Sawangdee	205 1.5×	98 0.9×	122 1.5×	46 0.6×	9 0.1×	46	540
My Nguyen	97 0.7×	68 0.6×	103 1.3×	22 0.3×	8 0.1×	56	518
Jonas Helgertz	54 0.4×	53 0.5×	193 2.4×	72 0.9×	25 0.3×	40	474
Pramote Prasartkul	139 1.0×	37 0.3×	140 1.7×	66 0.9×	14 0.2×	29	456
Sezer Kısa	92 0.7×	50 0.5×	62 0.8×	34 0.4×	6 0.1×	48	551
Sara Rızvı Jafree	44 0.3×	30 0.3×	139 1.7×	18 0.2×	14 0.2×	47	473
Aline Bütikofer	41 0.3×	122 1.1×	138 1.7×	55 0.7×	8 0.1×	42	434
Guanjian Li	57 0.4×	62 0.6×	43 0.5×	9 0.1×	14 0.2×	33	518

Countries citing papers authored by Dilip C. Nath

Since Specialization

Citations

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

Fields of papers citing papers by Dilip C. Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dilip C. Nath. 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 Dilip C. Nath. The network helps show where Dilip C. Nath may publish in the future.

Co-authorship network of co-authors of Dilip C. Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip C. Nath. A scholar is included among the top collaborators of Dilip C. Nath 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 Dilip C. Nath. Dilip C. Nath 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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