Daladier Jabba

705 citations
51 papers · 439 · h-index 12

Impact in

Papers in

Daladier Jabba

46 papers receiving 416 citations

Peers

Daladier Jabba
Comparison fields: 5 of 78
  • Computer Networks and Communications 199
  • Computer Science Applications 35
  • Information Systems 82
  • Transportation 20
  • Artificial Intelligence 79
Replace Miguel Jimeno with:
Miguel Jimeno Colombia
Sumita Mishra United States
Sergi Robles Spain
Mohamed Benaida Saudi Arabia
Jibing Gong China
Jorge Gómez Gómez Colombia
Michele Scalera Italy
Haya Elayan United Arab Emirates
Sherin M. Moussa Egypt
Ognjen Šćekić Austria
Daladier Jabba relative to Miguel Jimeno Colombia Miguel Jimeno's profile →
Citations per field
00.5×
Miguel Jimeno · 1×
Citations per year

Countries citing papers authored by Daladier Jabba

Since Specialization
Citations

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

Fields of papers citing papers by Daladier Jabba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daladier Jabba, 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 Daladier Jabba Line = papers co-authored together Daladier Jabba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201858
2 201144
3 201739
4 202036
5 202130
6 202021
7 202417
8 202114
9 201713
10 201812
11 201411
12 202111
13 201711
14 201310
15
ERNEAD: Training of Artificial Neural Networks Based on a Genetic Algorithm and Finite Automata Theory
201810
16 201210
17 20217
18 20197
19
Internet de las cosas y la salud centrada en el hogar
20166
20 20226

About Daladier Jabba

Daladier Jabba is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 51 papers that have together received 439 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Software-Defined Networks and 5G (6 papers), E-Learning and Knowledge Management (5 papers), Blockchain Technology Applications and Security (4 papers), Privacy-Preserving Technologies in Data (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Digital literacy in education (3 papers). The work is most often cited by research in Computer Networks and Communications (199 citations), Computer Science Applications (35 citations), Information Systems (82 citations), Transportation (20 citations) and Artificial Intelligence (79 citations). Daladier Jabba has collaborated with scholars based in Colombia, Spain and United States. Frequent co-authors include Miguel Jimeno, Javier Gómez, Pedro M. Wightman, Miguel A. Labrador, Luis Pastor Sánchez Fernández, Elías D. Niño-Ruiz, Augusto Salazar, María Calle, Eduardo Zurek and Elías Said-Hung. Their work appears in journals such as Applied Sciences, IEEE Access, Sustainability, Sensors and Educación XX1.

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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