Nada Hamadeh

441 total citations
11 papers, 287 citations indexed

About

Nada Hamadeh is a scholar working on Economics and Econometrics, Urban Studies and Sociology and Political Science. According to data from OpenAlex, Nada Hamadeh has authored 11 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 2 papers in Urban Studies and 2 papers in Sociology and Political Science. Recurrent topics in Nada Hamadeh's work include Fiscal Policy and Economic Growth (3 papers), Income, Poverty, and Inequality (2 papers) and Urban and Rural Development Challenges (2 papers). Nada Hamadeh is often cited by papers focused on Fiscal Policy and Economic Growth (3 papers), Income, Poverty, and Inequality (2 papers) and Urban and Rural Development Challenges (2 papers). Nada Hamadeh collaborates with scholars based in United States, France and Luxembourg. Nada Hamadeh's co-authors include Yuri Dikhanov, Ana Revenga, Nobuo Yoshida, Andrew Dabalen, Espen Beer Prydz, Umar Serajuddin, Shaohua Chen, Ambar Narayan, Dean Jolliffe and Prem Sangraula and has published in prestigious journals such as Social Indicators Research, The World Bank Economic Review and The Journal of Economic Inequality.

In The Last Decade

Nada Hamadeh

10 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nada Hamadeh United States	5	144	107	54	40	30	11	287
Yuri Dikhanov United States	7	153 1.1×	131 1.2×	60 1.1×	41 1.0×	29 1.0×	12	320
Shatakshee Dhongde United States	12	178 1.2×	120 1.1×	51 0.9×	21 0.5×	35 1.2×	32	297
Aziz Atamanov Netherlands	8	121 0.8×	71 0.7×	44 0.8×	43 1.1×	30 1.0×	44	249
Atta Ullah Khan Pakistan	11	158 1.1×	83 0.8×	55 1.0×	64 1.6×	43 1.4×	23	291
Indranil Dutta United Kingdom	9	187 1.3×	57 0.5×	81 1.5×	61 1.5×	48 1.6×	19	276
Ankita Mishra Australia	13	102 0.7×	138 1.3×	52 1.0×	38 0.9×	17 0.6×	29	302
Valérie Bérenger France	8	152 1.1×	92 0.9×	64 1.2×	14 0.3×	43 1.4×	23	308
Usha Kanagaratnam United Kingdom	7	108 0.8×	37 0.3×	55 1.0×	28 0.7×	24 0.8×	11	242
Valerie Kozel United States	7	150 1.0×	96 0.9×	52 1.0×	50 1.3×	34 1.1×	13	241
Nicolai Suppa Spain	9	116 0.8×	50 0.5×	42 0.8×	19 0.5×	65 2.2×	22	231

Countries citing papers authored by Nada Hamadeh

Since Specialization

Citations

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

Fields of papers citing papers by Nada Hamadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Hamadeh

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

All Works

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11 of 11 papers shown

1.

Nakamura, Shohei, et al.. (2019). Comparing Costs of Living across World Cities. The World Bank Economic Review. 34(Supplement_1). S79–S88. 5 indexed citations

2.

Nakamura, Shohei, et al.. (2019). Is Living in African Cities Expensive?. The World Bank Open Knowledge Repository (World Bank). 2 indexed citations

3.

Nakamura, Shohei, et al.. (2018). Is living in African cities expensive?. Applied Economics Letters. 26(12). 1007–1012. 20 indexed citations

4.

Dikhanov, Yuri, et al.. (2017). Poverty-Specific Purchasing Power Parities in Africa. World Bank, Washington, DC eBooks. 4 indexed citations

5.

Ferreira, Francisco H. G., Shaohua Chen, Andrew Dabalen, et al.. (2016). A global count of the extreme poor in 2012: data issues, methodology and initial results. The Journal of Economic Inequality. 14(2). 141–172. 186 indexed citations

6.

Nakamura, Shohei, et al.. (2016). Is Living in African Cities Expensive?. World Bank, Washington, DC eBooks. 9 indexed citations

7.

Hamadeh, Nada, et al.. (2016). Purchasing Power Parities of Currencies and Real Expenditures from the International Comparison Program: Recent Results and Uses. Social Indicators Research. 131(1). 23–42. 4 indexed citations

8.

Dikhanov, Yuri, et al.. (2015). Operational guidelines and procedures for measuring the real size of the world economy. 1–503. 2 indexed citations

9.

Dikhanov, Yuri, Francisco H. G. Ferreira, Nada Hamadeh, et al.. (2015). A Global Count of the Extreme Poor in 2012: Data Issues, Methodology and Initial Results. World Bank, Washington, DC eBooks. 53 indexed citations

10.

Hamadeh, Nada & Paul McCarthy. (2013). Improved PPP Extrapolation Approaches. 1 indexed citations

11.

Hamadeh, Nada, et al.. (2012). Extrapolating ICP data and PPPs : seventh technical advisory group meeting (September 17-18, 2012). 1–25. 1 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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