Danco Davčev

1.4k citations
86 papers · 854 · h-index 16

Impact in

Papers in

Danco Davčev

76 papers receiving 778 citations

Peers

Danco Davčev
Comparison fields: 5 of 97
  • Computer Networks and Communications 453
  • Hardware and Architecture 51
  • Information Systems 122
  • Water Science and Technology 67
  • Computer Vision and Pattern Recognition 89
Replace Tomás Robles with:
Tomás Robles Spain
Sajjad Hussain Chauhdary Saudi Arabia
T. V. Prabhakar India
Sarmad Ullah Khan Pakistan
Vlasios Tsiatsis United States
Tin‐Yu Wu Taiwan
Takuo Suganuma Japan
Shahid Khan Pakistan
Goran Martinović Croatia
Abdur Rahim Biswas Italy
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Citations per field
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Citations per year

Countries citing papers authored by Danco Davčev

Since Specialization
Citations

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

Fields of papers citing papers by Danco Davčev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Danco Davčev, 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 Danco Davčev Line = papers co-authored together Danco Davčev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018123
2 198591
3 201961
4 198558
5 201840
6 201737
7 200536
8 198920
9
Data Prediction in WSN using Variable Step Size LMS Algorithm
201119
10
Mobile Cloud Computing Environment as a Support for Mobile Learning
201219
11 201417
12
Project based learning of embedded systems
200816
13 200516
14 200515
15 202015
16 200915
17 201114
18 201813
19 200511
20 200210

About Danco Davčev

Danco Davčev is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 86 papers that have together received 854 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Energy Efficient Wireless Sensor Networks (10 papers), Fuzzy Logic and Control Systems (9 papers), Multimedia Communication and Technology (7 papers), IoT and Edge/Fog Computing (6 papers), Machine Learning in Bioinformatics (6 papers), Advanced Chemical Sensor Technologies (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Hardware and Architecture (51 citations), Information Systems (122 citations), Water Science and Technology (67 citations) and Computer Vision and Pattern Recognition (89 citations). Danco Davčev has collaborated with scholars based in North Macedonia, Slovakia and France. Frequent co-authors include Walter A. Burkhard, Andrea Kulakov, Kosta Mitreski, Biljana Risteska Stojkoska, Kire Trivodaliev, Ljupčo Kocarev, Slobodan Kalajdziski, A. Carbone, Goran Trajkovski and Vlado Stankovski. Their work appears in journals such as Multimedia Tools and Applications, Computer Communications, Journal of Cryptology, IEEE/ACM Transactions on Computational Biology and Bioinformatics 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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