Daniel Mirza

1.2k citations
36 papers · 566 · h-index 13

Impact in

Papers in

Daniel Mirza

31 papers receiving 491 citations

Peers

Daniel Mirza
Comparison fields: 5 of 58
  • General Economics, Econometrics and Finance 305
  • Economics and Econometrics 341
  • Strategy and Management 179
  • Development 24
  • Finance 52
Replace Oleksandr Shepotylo with:
Oleksandr Shepotylo United Kingdom
Carlo Perroni United Kingdom
Miguel D. Ramírez United States
James Cassing United States
Don P. Clark United States
Richard Kozul‐Wright United Kingdom
E. M. Ekanayake United States
Edmund Amann United Kingdom
Sasi Iamsiraroj Australia
Treb Allen United States
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Citations per field
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Oleksandr Shepotylo · 1×
Citations per year

Countries citing papers authored by Daniel Mirza

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mirza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002114
2 200573
3 200755
4 200348
5 200436
6 201823
7 201523
8 200920
9 201320
10 201419
11 201918
12 200617
13 201813
14 201010
15 20119
16 20099
17
Terrorism Networks and Trade: Does the Neighbor Hurt?
20107
18 20177
19 20146
20 20155

About Daniel Mirza

Daniel Mirza is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Strategy and Management, Sociology and Political Science and Safety Research, having authored 36 papers that have together received 566 indexed citations. Recurring topics across this work include Global trade and economics (20 papers), International Business and FDI (11 papers), Crime, Illicit Activities, and Governance (8 papers), Terrorism, Counterterrorism, and Political Violence (7 papers), Firm Innovation and Growth (6 papers), Political Conflict and Governance (5 papers), Global Trade and Competitiveness (5 papers) and Economic Policies and Impacts (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (305 citations), Economics and Econometrics (341 citations), Strategy and Management (179 citations), Development (24 citations) and Finance (52 citations). Daniel Mirza has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Thierry Verdier, Giuseppe Nicoletti, Emmanuel Milet, Matthieu Crozet, José de Sousa, Kwang-Yeol Yoo, Dana Hájková, Stephen S. Golub, Isabelle Rabaud and David Masclet. Their work appears in journals such as World Economy, Review of World Economics, Journal of Comparative Economics, Kyklos and Journal of Public Economic Theory.

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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