Kamel Boukhalfa

61 papers receiving 1.4k citations

Kamel Boukhalfa's Hit Papers

Deep Learning for Tomato Diseases: Classification and Symptoms Visualization 2017 · 724 citations
7240+3+6Years since publication200400600

Peers

Kamel Boukhalfa
Comparison fields: 5 of 77
  • Plant Science 912
  • Computer Networks and Communications 197
  • Management Information Systems 60
  • Artificial Intelligence 129
  • Information Systems 81
Replace Sanjay Chaudhary with:
Sanjay Chaudhary India
M. Hemalatha India
Lilia Múñoz Panama
Kevin Doolin Ireland
Anuj Kumar Jain India
Alsayed Algergawy Germany
Sajad Khorsandroo United States
Hiep Xuan Huynh Vietnam
Isha Batra India
Subhranil Som India
Kamel Boukhalfa relative to Sanjay Chaudhary India Sanjay Chaudhary's profile →
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Citations per year

Countries citing papers authored by Kamel Boukhalfa

Since Specialization
Citations

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

Fields of papers citing papers by Kamel Boukhalfa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kamel Boukhalfa, 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 Kamel Boukhalfa Line = papers co-authored together Kamel Boukhalfa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
Hit paper breakdown →
2017724
2 2018207
3 201960
4 201559
5 200541
6 200924
7 201923
8 200821
9 200619
10 202118
11 201817
12 201613
13 202013
14 201812
15 201011
16 20218
17 20077
18 20177
19 20177
20 20197

About Kamel Boukhalfa

Kamel Boukhalfa is a scholar working on Computer Networks and Communications, Management Information Systems, Information Systems, Signal Processing and Artificial Intelligence, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (26 papers), Big Data and Business Intelligence (17 papers), Cloud Computing and Resource Management (10 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (4 papers), Recommender Systems and Techniques (4 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Plant Science (912 citations), Computer Networks and Communications (197 citations), Management Information Systems (60 citations), Artificial Intelligence (129 citations) and Information Systems (81 citations). Kamel Boukhalfa has collaborated with scholars based in Algeria, France and United Kingdom. Frequent co-authors include Mohammed Brahimi, Abdelouahab Moussaouı, Ladjel Bellatreche, Marko Arsenović, Sohaïb Laraba, Srdjan Sladojević, Saïd Mahmoudi, Pascal Richard, Jalil Boukhobza and Laurent Lemarchand. Their work appears in journals such as International Journal of Data Warehousing and Mining, Applied Artificial Intelligence, Lecture notes in computer science, Computer Communications and Future Generation Computer Systems.

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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