Miki Malul

858 citations
66 papers · 609 indexed · h-index 13

Impact in

Papers in

Miki Malul

61 papers receiving 567 citations

Peers

Miki Malul
Comparison fields: 5 of 80
  • Demography 119
  • Economics and Econometrics 238
  • Management of Technology and Innovation 51
  • General Decision Sciences 13
  • Organizational Behavior and Human Resource Management 72
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James Monks United States
Luis E. Vila Spain
Paula Vázquez Rodríguez Spain
Jed DeVaro United States
Manuel Salas Velasco Spain
Mohsin Bashir Pakistan
Manuel Bagues United Kingdom
Volker Grossmann Switzerland
Denis Fougère France
Meta Brown United States
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Citations per field
00.5×2.6×
James Monks · 1×
Citations per year

Countries citing papers authored by Miki Malul

Since Specialization
Citations

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

Fields of papers citing papers by Miki Malul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Miki Malul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miki Malul Line = papers co-authored together Miki Malul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20224
2 20221
3 20219
4 20212
5 201847
6 20183
7 20175
8 201512
9 201516
10 201511
11 20153
12 20142
13 20143
14 20110
15 201111
16 20119
17 20101
18 201017
19 200919
20 20093

About Miki Malul

Miki Malul is a scholar working on General Decision Sciences, Economics and Econometrics, Demography, Safety Research and Accounting, having authored 66 papers that have together received 609 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (14 papers), Labor market dynamics and wage inequality (12 papers), Employment and Welfare Studies (8 papers), Experimental Behavioral Economics Studies (7 papers), Culture, Economy, and Development Studies (7 papers), Regional Economics and Spatial Analysis (7 papers), Retirement, Disability, and Employment (7 papers) and Islamic Finance and Banking Studies (6 papers). The work is most often cited by research in Demography (119 citations), Economics and Econometrics (238 citations), Management of Technology and Innovation (51 citations), General Decision Sciences (13 citations) and Organizational Behavior and Human Resource Management (72 citations). Miki Malul has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Amir Shoham, Israel Luski, Mosi Rosenboim, Yossi Hadad, Mohammad Faisal Ahammad, Sang Mook Lee, Raphael Bar‐El, Tal Shavit, Ofir D. Rubin and Fany Yuval. Their work appears in journals such as Journal of Behavioral and Experimental Economics, Urbani izziv, Journal of Policy Modeling, Social Indicators Research and Equality Diversity and Inclusion An International Journal.

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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