Ivan T. Kandilov

901 citations
44 papers · 633 indexed · h-index 14

Ivan T. Kandilov

43 papers receiving 582 citations

Peers

Ivan T. Kandilov
Comparison fields: 5 of 70
  • General Economics, Econometrics and Finance 210
  • Media Technology 112
  • Economics and Econometrics 317
  • Strategy and Management 168
  • Finance 64
Replace Marcello Signorelli with:
Marcello Signorelli Italy
Andrea Tesei United Kingdom
Rakesh Basant India
IMF. Statistics Dept.
Wallace P. Mullin United States
Maria Denisa Vasilescu Romania
Auguste Tano Kouame United Kingdom
Ted To United States
Jeanet Bentzen Denmark
Tessa Conroy United States
Ivan T. Kandilov relative to Marcello Signorelli Italy Marcello Signorelli's profile →
Citations per field
00.5×11.2×
Marcello Signorelli · 1×
Citations per year

Countries citing papers authored by Ivan T. Kandilov

Since Specialization
Citations

This map shows the geographic impact of Ivan T. Kandilov'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 Ivan T. Kandilov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Kandilov more than expected).

Fields of papers citing papers by Ivan T. Kandilov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan T. Kandilov. 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 Ivan T. Kandilov. The network helps show where Ivan T. Kandilov may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ivan T. Kandilov, 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 Ivan T. Kandilov Line = papers co-authored together Ivan T. Kandilov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20226
4 202211
5 20214
6 20211
7 20196
8 20181
9 201712
10 201618
11 20162
12 20112
13 20111
14 20103
15 20103
16 200919
17 20097
18
The World Bank economic review 19 (2)
200514
19
The Cost of Job Loss and the "New" Phillips Curve
20025
20 20022

About Ivan T. Kandilov

Ivan T. Kandilov is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 44 papers that have together received 633 indexed citations. Recurring topics across this work include Global trade and economics (17 papers), International Business and FDI (7 papers), Firm Innovation and Growth (7 papers), Labor market dynamics and wage inequality (6 papers), Employment and Welfare Studies (6 papers), Corporate Finance and Governance (6 papers), Health disparities and outcomes (5 papers) and Fiscal Policy and Economic Growth (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (210 citations), Media Technology (112 citations) and Economics and Econometrics (317 citations). Ivan T. Kandilov has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mitch Renkow, Haiyang Lu, Aslı Leblebicioğlu, Thomas Grennes, Neviana Petkova, Xiangping Liu, Rong Zhu, Mark D. Walker, Xiaoyong Zheng and Marguerite Moore. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Development Economics and Journal of International Economics.

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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