Djellel Difallah
- Computer Science Applications top 0.2%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Philippe Cudré-MaurouxGianluca DemartiniPanagiotis G. IpeirotisElena FilatovaCarlo CurinoAndrew PavloMichele CatastaRaghu Ramakrishnan
- Topics
- Mobile Crowdsensing and Crowdsourcing (13 papers)Topic Modeling (8 papers)Data Stream Mining Techniques (7 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Djellel Difallah
31 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Science Applications 716
- Artificial Intelligence 690
- Information Systems 432
- Computer Networks and Communications 379
- Management Science and Operations Research 291
Countries citing papers authored by Djellel Difallah
This map shows the geographic impact of Djellel Difallah'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 Djellel Difallah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djellel Difallah more than expected).
Fields of papers citing papers by Djellel Difallah
This network shows the impact of papers produced by Djellel Difallah. 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 Djellel Difallah. The network helps show where Djellel Difallah may publish in the future.
Co-authorship network of co-authors of Djellel Difallah
This figure shows the co-authorship network connecting the top 25 collaborators of Djellel Difallah. A scholar is included among the top collaborators of Djellel Difallah 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 Djellel Difallah. Djellel Difallah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | SectionLinks: Mapping Orphan Wikidata Entities onto Wikipedia Sections | 2 |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 142 | |
| 13 | 90 | |
| 14 | 44 | |
| 15 | 0 | |
| 16 | OLTP-Benchbreakdown → | 234 |
| 17 | 35 | |
| 18 | ZenCrowdbreakdown → | 315 |
| 19 | Mechanical cheat: Spamming schemes and adversarial techniques on crowdsourcing platforms | 76 |
| 20 | 4 |
About Djellel Difallah
Djellel Difallah is a scholar working on Computer Science Applications, Artificial Intelligence and Communication, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (13 papers), Topic Modeling (8 papers) and Data Stream Mining Techniques (7 papers). The work is most often cited by research in Computer Science Applications (716 citations), Management Science and Operations Research (291 citations) and Artificial Intelligence (690 citations). Djellel Difallah has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Philippe Cudré-Mauroux, Gianluca Demartini, Panagiotis G. Ipeirotis, Elena Filatova, Carlo Curino, Andrew Pavlo, Michele Catasta, Raghu Ramakrishnan, Sriram Rao and Subru Krishnan. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Internet Computing and The VLDB Journal.
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.