Nasser Taleb

1.1k citations
23 papers · 798 · 1 hit paper · h-index 13

Impact in

Papers in

Nasser Taleb

22 papers receiving 775 citations

Nasser Taleb's Hit Papers

Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review 2021 · 209 citations
2090+1+3Years since publication50100150200

Peers

Nasser Taleb
Comparison fields: 5 of 92
  • Software 63
  • Management Information Systems 104
  • Information Systems 238
  • Artificial Intelligence 288
  • Information Systems and Management 55
Replace Edi Abdurachman with:
Edi Abdurachman Indonesia
Aziz Deraman Malaysia
Hannu Jaakkola Finland
Marzanah A. Jabar Malaysia
Derek L. Nazareth United States
Adriano Bessa Albuquerque Brazil
Marta Elena Zorrilla Spain
Rajendra Sonar India
Daniel Fernando Siahaan Indonesia
Gerald Quirchmayr Austria
Nasser Taleb relative to Edi Abdurachman Indonesia Edi Abdurachman's profile →
Citations per field
00.5×1.5×2.0×
Edi Abdurachman · 1×
Citations per year

Countries citing papers authored by Nasser Taleb

Since Specialization
Citations

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

Fields of papers citing papers by Nasser Taleb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review
Hit paper breakdown →
2021209
2 202192
3 202181
4 202357
5 202351
6 202351
7 202250
8 202148
9 202237
10 202222
11 202021
12 201916
13 201816
14 202312
15 201811
16 20208
17 20224
18 20233
19 20223
20 20222

About Nasser Taleb

Nasser Taleb is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Management Information Systems and Media Technology, having authored 23 papers that have together received 798 indexed citations. Recurring topics across this work include Organizational and Employee Performance (9 papers), Blockchain Technology Applications and Security (8 papers), IoT and Edge/Fog Computing (4 papers), Online and Blended Learning (3 papers), Big Data and Business Intelligence (3 papers), Technology Adoption and User Behaviour (3 papers), AI in cancer detection (3 papers) and Smart Cities and Technologies (2 papers). The work is most often cited by research in Software (63 citations), Management Information Systems (104 citations), Information Systems (238 citations), Artificial Intelligence (288 citations) and Information Systems and Management (55 citations). Nasser Taleb has collaborated with scholars based in United Arab Emirates, Pakistan and Malaysia. Frequent co-authors include Taher M. Ghazal, Raed A. Said, Muhammad Turki Alshurideh, Haitham M. Alzoubi, Tariq Rahim Soomro, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Shabib Aftab and Elfadil Abdalla Mohamed. Their work appears in journals such as IEEE Access, Academic Journal of Interdisciplinary Studies, International Journal of Business Intelligence and Data Mining, Expert Systems and Computers.

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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