Nirmala Murthy

882 total citations
31 papers, 622 citations indexed

About

Nirmala Murthy is a scholar working on Economics and Econometrics, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nirmala Murthy has authored 31 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 11 papers in General Health Professions and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nirmala Murthy's work include Global Health Care Issues (8 papers), Fiscal Policy and Economic Growth (8 papers) and Global Maternal and Child Health (8 papers). Nirmala Murthy is often cited by papers focused on Global Health Care Issues (8 papers), Fiscal Policy and Economic Growth (8 papers) and Global Maternal and Child Health (8 papers). Nirmala Murthy collaborates with scholars based in United States, India and Switzerland. Nirmala Murthy's co-authors include Albert A. Okunade, Ravi Nath, May Sudhinaraset, Nadia Diamond‐Smith, Lyn Squire, Jason Melo, Subhashini Chandrasekharan, Patricia Mechael, Emily Treleaven and Parul Christian and has published in prestigious journals such as BMC Public Health, PLoS neglected tropical diseases and Economics Letters.

In The Last Decade

Nirmala Murthy

30 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nirmala Murthy United States 14 278 265 132 73 68 31 622
Andrew Hodge Australia 17 364 1.3× 224 0.8× 313 2.4× 37 0.5× 105 1.5× 37 849
Zlatko Nikoloski United Kingdom 17 257 0.9× 326 1.2× 138 1.0× 9 0.1× 132 1.9× 53 777
Roland Pongou Canada 15 203 0.7× 173 0.7× 202 1.5× 16 0.2× 125 1.8× 74 789
Jorge M. Agüero United States 13 167 0.6× 176 0.7× 74 0.6× 18 0.2× 263 3.9× 41 763
Krycia Cowling United States 10 159 0.6× 346 1.3× 319 2.4× 10 0.1× 110 1.6× 17 905
Peter Glick United States 16 193 0.7× 118 0.4× 117 0.9× 10 0.1× 223 3.3× 59 790
Chih Ming Tan United States 11 231 0.8× 74 0.3× 62 0.5× 5 0.1× 161 2.4× 44 609
Jessica Leight United States 15 202 0.7× 134 0.5× 137 1.0× 30 0.4× 145 2.1× 54 718
Sarah Myers United Kingdom 15 441 1.6× 143 0.5× 107 0.8× 115 1.6× 131 1.9× 40 2.5k
Stijn Hoorens United Kingdom 13 72 0.3× 133 0.5× 236 1.8× 20 0.3× 191 2.8× 68 763

Countries citing papers authored by Nirmala Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Nirmala Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmala Murthy

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

All Works

20 of 20 papers shown
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Murthy, Nirmala, et al.. (2019). “It’s just a fever”: Gender based barriers to care-seeking for visceral leishmaniasis in highly endemic districts of India: A qualitative study. PLoS neglected tropical diseases. 13(6). e0007457–e0007457. 7 indexed citations
4.
Mechael, Patricia, et al.. (2019). The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative. JMIR mhealth and uhealth. 7(8). e14668–e14668. 6 indexed citations
5.
Murthy, Nirmala & Albert A. Okunade. (2017). Is the Health Care Price Inflation in US Urban Areas Stationary? Evidence from Panel Unit Root Tests. SSRN Electronic Journal. 2 indexed citations
6.
Diamond‐Smith, Nadia, Emily Treleaven, Nirmala Murthy, & May Sudhinaraset. (2017). Women’s empowerment and experiences of mistreatment during childbirth in facilities in Lucknow, India: results from a cross-sectional study. BMC Pregnancy and Childbirth. 17(S2). 335–335. 38 indexed citations
7.
Diamond‐Smith, Nadia, May Sudhinaraset, Jason Melo, & Nirmala Murthy. (2016). The relationship between women's experiences of mistreatment at facilities during childbirth, types of support received and person providing the support in Lucknow, India. Midwifery. 40. 114–123. 50 indexed citations
8.
Labrique, Alain, et al.. (2012). Pregnancy registration systems can enhance health systems, increase accountability and reduce mortality. Reproductive Health Matters. 20(39). 113–117. 17 indexed citations
9.
Murthy, Nirmala, et al.. (2009). Determinants of digital access: a global empirical analysis. International Journal of Services and Standards. 5(2). 95–95. 8 indexed citations
10.
Murthy, Nirmala. (2008). The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis. Journal of Economics and Finance. 33(2). 176–188. 25 indexed citations
11.
Nath, Ravi & Nirmala Murthy. (2004). A Study of the Relationship Between Internet Diffusion and Culture. Journal of international technology and information management. 13(1). 40 indexed citations
12.
Murthy, Nirmala. (2004). Health care expenditures in Africa: An econometric analysis. Atlantic Economic Journal. 32(4). 358–358. 2 indexed citations
13.
Nath, Ravi & Nirmala Murthy. (2003). An examination of the relationship between digital divide and economic freedom: An international perspective. CSUSB ScholarWorks (California State University, San Bernardino). 12(1). 2. 13 indexed citations
14.
Murthy, Nirmala & Albert A. Okunade. (2000). Managed care, deficit financing, and aggregate health care expenditure in the United States: A cointegration analysis. Health Care Management Science. 3(4). 279–285. 55 indexed citations
15.
Murthy, Nirmala, et al.. (1999). A test of the conditional convergence hypothesis: econometric evidence from African countries. Economics Letters. 65(2). 249–253. 24 indexed citations
16.
Murthy, Nirmala, et al.. (1994). Aggregate health care expenditure in the United States: evidence from cointegration tests. Applied Economics. 26(8). 797–802. 91 indexed citations
17.
Murthy, Nirmala. (1989). THE EFFECTS OF TAXES AND RATES OF RETURN ON FOREIGN DIRECT INVESTMENT IN THE UNITED STATES: SOME ECONOMETRIC COMMENTS. National Tax Journal. 42(2). 205–207. 16 indexed citations
18.
Murthy, Nirmala. (1982). Endogenous Government Consumption Expenditure: Some Econometric Evidence for the Indian Economy. The Indian Economic Journal. 30(1). 71–78. 1 indexed citations
19.
Murthy, Nirmala, et al.. (1976). Estimation of Short-Run Consumption Functions In The Indian Economy Using The New Official Data, 1960-61-1972-73. The Indian Economic Journal. 24(4-5). 371–380. 1 indexed citations
20.
Murthy, Nirmala, et al.. (1974). Rural Haitian women: An analysis of fertility rates. Social Biology. 21(4). 368–378. 6 indexed citations

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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