Zhilbert Tafa

406 citations
14 papers · 249 · h-index 5

Impact in

Papers in

Zhilbert Tafa

13 papers receiving 233 citations

Peers

Zhilbert Tafa
Comparison fields: 5 of 48
  • Health Information Management 36
  • Computer Networks and Communications 157
  • Medical Laboratory Technology 3
  • Electrical and Electronic Engineering 80
  • Artificial Intelligence 41
Replace D. Sridharan with:
D. Sridharan India
Hiren Kumar Deva Sarma India
Anup Kumar Paul Bangladesh
M. Sathya India
Adeel Ahmed Pakistan
B. Karthik India
Stefano Tennina Italy
Sourav Dhar India
Amer O. Abu Salem Jordan
Neeraj Kumar Pandey India
Zhilbert Tafa relative to D. Sridharan India D. Sridharan's profile →
Citations per field
00.5×1.5×2.4×
D. Sridharan · 1×
Citations per year

Countries citing papers authored by Zhilbert Tafa

Since Specialization
Citations

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

Fields of papers citing papers by Zhilbert Tafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Zhilbert Tafa, 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 Zhilbert Tafa Line = papers co-authored together Zhilbert Tafa links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A survey of military applications of wireless sensor networks
2012166
2 201537
3 201017
4 201812
5 20164
6 20233
7
Towards improving barrier coverage using mobile robots
20122
8 20182
9 20222
10
Detectability of Static and Moving Targets in Randomly Deployed Military Surveillance Networks
20111
11
A Novel Approach to Data Mining in Wireless Sensor Networks.
20141
12 20201
13 20101
14 20240

About Zhilbert Tafa

Zhilbert Tafa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Health Information Management, Information Systems and Biomedical Engineering, having authored 14 papers that have together received 249 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Artificial Intelligence in Healthcare (2 papers), Advanced Authentication Protocols Security (1 paper), Diabetes Management and Research (1 paper), COVID-19 diagnosis using AI (1 paper), IoT-based Smart Home Systems (1 paper), Software Testing and Debugging Techniques (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Health Information Management (36 citations), Computer Networks and Communications (157 citations), Medical Laboratory Technology (3 citations), Electrical and Electronic Engineering (80 citations) and Artificial Intelligence (41 citations). Zhilbert Tafa has collaborated with scholars based in Kosovo, Serbia and Montenegro. Frequent co-authors include Veljko Milutinović, Goran Dimić, Goran Rakočević and D. Mihailović. Their work appears in journals such as IEEE Transactions on Education, Journal of Advances in Information Technology, Ad Hoc & Sensor Wireless Networks and RePEc: Research Papers in Economics.

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.

Explore authors with similar magnitude of impact