Eva Tuba

3.4k citations
117 papers · 2.8k · h-index 32

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 34
    • Evolutionary Algorithms and Applications 12
    • Neural Networks and Applications 10
    • Advanced Neural Network Applications 12
    • Face and Expression Recognition 9
    • Advanced Image and Video Retrieval Techniques 8

Eva Tuba

108 papers receiving 2.8k citations

Peers

Eva Tuba
Comparison fields: 5 of 132
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 835
  • Computer Networks and Communications 705
  • Media Technology 180
  • Information Systems 470
Replace E. Emary with:
E. Emary Egypt
Ivana Strumberger Serbia
Putra Sumari Malaysia
Timea Bezdan Serbia
Wei Liang China
Kashif Hussain Malaysia
Abdelghani Dahou Algeria
K. Venkatachalam India
Mohammed A. AlZain Saudi Arabia
Zhaoquan Gu China
Eva Tuba relative to E. Emary Egypt E. Emary's profile →
Citations per field
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E. Emary · 1×
Citations per year

Countries citing papers authored by Eva Tuba

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Tuba, 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 Eva Tuba Line = papers co-authored together Eva Tuba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 2019115
3 2020112
4 2020107
5 2020100
6 201999
7 201991
8 202180
9 202076
10 202076
11 201976
12 201768
13 201766
14 202064
15 201860
16 201660
17 201956
18 202047
19 201745
20 201845

About Eva Tuba

Eva Tuba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology and Electrical and Electronic Engineering, having authored 117 papers that have together received 2.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (34 papers), Advanced Neural Network Applications (12 papers), Evolutionary Algorithms and Applications (12 papers), Energy Efficient Wireless Sensor Networks (10 papers), Neural Networks and Applications (10 papers), Face and Expression Recognition (9 papers), Cloud Computing and Resource Management (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (835 citations), Computer Networks and Communications (705 citations), Media Technology (180 citations) and Information Systems (470 citations). Eva Tuba has collaborated with scholars based in Serbia, Portugal and Bosnia and Herzegovina. Frequent co-authors include Milan Tuba, Nebojša Bačanin, Ivana Strumberger, Miodrag Živković, Timea Bezdan, Marko Beko, Edin Dolićanin, Raka Jovanović, Adis Alihodžić and Dana Simian. Their work appears in journals such as Studies in Informatics and Control, Lecture notes in computer science, Journal of King Saud University - Computer and Information Sciences, Journal of Sensor and Actuator Networks and Journal of Intelligent & Fuzzy 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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