Naima Iltaf

632 citations
60 papers · 457 · h-index 13

Impact in

Papers in

Naima Iltaf

52 papers receiving 433 citations

Peers

Naima Iltaf
Comparison fields: 5 of 79
  • Information Systems 172
  • Computer Vision and Pattern Recognition 136
  • Media Technology 54
  • Artificial Intelligence 186
  • Computer Networks and Communications 94
Replace Hrushikesha Mohanty with:
Hrushikesha Mohanty India
Ximing Li China
Xing Zhao China
Hajer Baazaoui Zghal Tunisia
Haoran Yang China
R. Krishnamoorthi India
Jean-Luc Meunier France
Vanesa Daza Spain
Gökay Saldamlı United States
Songlei Jian China
Naima Iltaf relative to Hrushikesha Mohanty India Hrushikesha Mohanty's profile →
Citations per field
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Hrushikesha Mohanty · 1×
Citations per year

Countries citing papers authored by Naima Iltaf

Since Specialization
Citations

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

Fields of papers citing papers by Naima Iltaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201937
3 201325
4 202123
5 202122
6 202019
7 202019
8 202318
9 201916
10 201616
11 201915
12 201713
13 201912
14 201212
15 201710
16 201910
17 20099
18 20209
19 20238
20 20248

About Naima Iltaf

Naima Iltaf is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 60 papers that have together received 457 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Access Control and Trust (11 papers), Topic Modeling (8 papers), Image Retrieval and Classification Techniques (8 papers), Caching and Content Delivery (6 papers), Cryptography and Data Security (5 papers), IoT and Edge/Fog Computing (5 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Information Systems (172 citations), Computer Vision and Pattern Recognition (136 citations), Media Technology (54 citations), Artificial Intelligence (186 citations) and Computer Networks and Communications (94 citations). Naima Iltaf has collaborated with scholars based in Pakistan, South Korea and United States. Frequent co-authors include Hammad Afzal, Abdul Ghafoor, Muhammad Mohsin Riaz, Haider Abbas, Raheel Nawaz, Fahim Arif, Syed Sohaib Ali, Farrukh Kamran, Moongu Jeon and Waseem Iqbal. Their work appears in journals such as IEEE Access, EURASIP Journal on Wireless Communications and Networking, Applied Soft Computing, Neurocomputing and IEEE Open Journal of the Industrial Electronics Society.

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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