Dina Nawara

638 citations
13 papers · 331 indexed · 1 hit paper · h-index 8
Topics
Recommender Systems and Techniques (5 papers)IoT and Edge/Fog Computing (4 papers)Smart Cities and Technologies (2 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessApplied Sciences
Partner nations
CanadaSerbia

In The Last Decade

Dina Nawara

13 papers receiving 314 citations

Hit Papers

Recommendation Systems: Algorithms, Challenges, Metrics, ...2020202620222024202050100150

Peers

Dina Nawara
Comparison fields: 5 of 67
  • Information Systems 186
  • Artificial Intelligence 143
  • Computer Networks and Communications 66
  • Computer Vision and Pattern Recognition 42
  • Sociology and Political Science 40
Replace Mahsa Ebrahimian with:
Mahsa Ebrahimian Canada
Mala Dutta India
Deepjyoti Roy India
Frederico Araújo Dur�ão Brazil
Narisa Zhao China
Michele Maasberg United States
Nasseh Tabrizi United States
Nurulhuda Firdaus Mohd Azmi Malaysia
Stéphane Faulkner Belgium
Bogdan Walek Czechia
Dina Nawara relative to Mahsa Ebrahimian Canada Mahsa Ebrahimian's profile →
Citations per field
00.5×1.5×2.1×
Mahsa Ebrahimian · 1×
Citations per year

Countries citing papers authored by Dina Nawara

Since Specialization
Citations

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

Fields of papers citing papers by Dina Nawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Nawara

This figure shows the co-authorship network connecting the top 25 collaborators of Dina Nawara. A scholar is included among the top collaborators of Dina Nawara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dina Nawara. Dina Nawara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 1
3 25
4 2
5 1
6 4
7 7
8 17
9 28
10 9
11 11
12
Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunitiesbreakdown →
196
13 29

About Dina Nawara

Dina Nawara is a scholar working on Information Systems, Computer Networks and Communications and Media Technology, having authored 13 papers that have together received 331 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), IoT and Edge/Fog Computing (4 papers) and Smart Cities and Technologies (2 papers). The work is most often cited by research in Information Systems (186 citations), Artificial Intelligence (143 citations) and Business and International Management (6 citations). Dina Nawara has collaborated with scholars based in Canada and Serbia. Frequent co-authors include Rasha Kashef, Ahmed Ibrahim, Mahsa Ebrahimian and Rasha Kashef. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

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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