Salman Bahoo

1.7k citations
23 papers · 1.1k indexed · 4 hit papers · h-index 12

Impact in

  • Accounting top 5%
    • Islamic Finance and Banking Studies
    • Corporate Finance and Governance
    • Corporate Social Responsibility Reporting
    • International Business and FDI

Papers in

Salman Bahoo

23 papers receiving 1.0k citations

Hit Papers

Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis 2024 · 55 citations
55201920262021202350100150200250

Peers

Salman Bahoo
Comparison fields: 5 of 93
  • Accounting 333
  • Strategy and Management 286
  • Management Information Systems 145
  • Finance 157
  • Economics and Econometrics 333
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K. M. Anwarul Islam Bangladesh
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Citations per field
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Citations per year

Countries citing papers authored by Salman Bahoo

Since Specialization
Citations

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

Fields of papers citing papers by Salman Bahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Salman Bahoo, 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 Salman Bahoo Line = papers co-authored together Salman Bahoo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2
Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis
Hit paper breakdown →
202455
3 202415
4 20235
5 20223
6
Artificial intelligence and corporate innovation: A review and research agenda
Hit paper breakdown →
2022165
7 20211
8 20211
9 20215
10 202112
11 202038
12 20203
13 2020131
14 202081
15 20191
16
A bibliometric review of sukuk literature
Hit paper breakdown →
2019195
17
Corruption in international business: A review and research agenda
Hit paper breakdown →
2019253
18 20193
19 201914
20 201817

About Salman Bahoo

Salman Bahoo is a scholar working on Accounting, Management Science and Operations Research, Strategy and Management, Finance and Economics and Econometrics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Islamic Finance and Banking Studies (5 papers), Corruption and Economic Development (4 papers), Insurance and Financial Risk Management (3 papers), Stock Market Forecasting Methods (3 papers), State Capitalism and Financial Governance (3 papers), Banking stability, regulation, efficiency (3 papers), Economic Growth and Development (3 papers) and Corporate Finance and Governance (2 papers). The work is most often cited by research in Accounting (333 citations), Strategy and Management (286 citations), Management Information Systems (145 citations), Finance (157 citations) and Economics and Econometrics (333 citations). Salman Bahoo has collaborated with scholars based in Italy, Pakistan and Norway. Frequent co-authors include Andrea Paltrinieri, Ilan Alon, M. Kabir Hassan, Ashraf Khan, Marco Cucculelli, Alberto Dreassi, Rizwan Mushtaq, Sohail Saeed, Shahid Nawaz and Michela C. Mason. Their work appears in journals such as International Review of Economics & Finance, Thunderbird International Business Review, International Review of Financial Analysis, International Business Review and Journal of Multinational Financial Management.

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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