Andraš Anderla

3.0k total citations · 2 hit papers
22 papers, 1.9k citations indexed

About

Andraš Anderla is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Andraš Anderla has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Information Systems. Recurrent topics in Andraš Anderla's work include Manufacturing Process and Optimization (3 papers), Medical Imaging Techniques and Applications (2 papers) and Plant Disease Management Techniques (2 papers). Andraš Anderla is often cited by papers focused on Manufacturing Process and Optimization (3 papers), Medical Imaging Techniques and Applications (2 papers) and Plant Disease Management Techniques (2 papers). Andraš Anderla collaborates with scholars based in Serbia, Switzerland and Italy. Andraš Anderla's co-authors include Srdjan Sladojević, Marko Arsenović, Darko Stefanović, Dubravko Ćulibrk, Mirela Erić, Danijela Gračanin, Gaspar Delso, Bojаn Lаlić and Milovan Lazarević and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

In The Last Decade

Andraš Anderla

21 papers receiving 1.8k citations

Hit Papers

Deep Neural Networks Based Recognition of Plant Diseases ... 2016 2026 2019 2022 2016 2019 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
    2016 1.2k citations Srdjan Sladojević, Marko Arsenović et al. Computational Intelligence and Neuroscience profile →
  2. Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection
    2019 332 citations Marko Arsenović, Srdjan Sladojević et al. Symmetry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andraš Anderla Serbia 9 1.4k 574 260 248 193 22 1.9k
Marko Arsenović Serbia 7 1.4k 1.0× 574 1.0× 260 1.0× 246 1.0× 184 1.0× 16 1.9k
Srdjan Sladojević Serbia 11 1.4k 1.0× 574 1.0× 260 1.0× 265 1.1× 197 1.0× 38 2.1k
M. Ikram Ullah Lali Pakistan 18 876 0.6× 432 0.8× 119 0.5× 370 1.5× 175 0.9× 51 1.8k
Rishabh Sharma India 19 701 0.5× 235 0.4× 34 0.1× 183 0.7× 152 0.8× 199 1.5k
Yonis Gulzar Saudi Arabia 26 721 0.5× 320 0.6× 63 0.2× 337 1.4× 273 1.4× 109 1.9k
Vijaypal Singh Dhaka India 18 443 0.3× 178 0.3× 85 0.3× 159 0.6× 134 0.7× 74 1.2k
Zahid Iqbal Pakistan 7 590 0.4× 288 0.5× 88 0.3× 95 0.4× 64 0.3× 16 944
Jie Hu China 15 264 0.2× 122 0.2× 55 0.2× 236 1.0× 125 0.6× 59 1.1k
Guan Wang China 12 574 0.4× 217 0.4× 123 0.5× 228 0.9× 326 1.7× 42 1.4k
Sarfraz Nawaz Brohi Malaysia 13 357 0.3× 117 0.2× 61 0.2× 127 0.5× 104 0.5× 34 891

Countries citing papers authored by Andraš Anderla

Since Specialization
Citations

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

Fields of papers citing papers by Andraš Anderla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andraš Anderla

This figure shows the co-authorship network connecting the top 25 collaborators of Andraš Anderla. A scholar is included among the top collaborators of Andraš Anderla 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 Andraš Anderla. Andraš Anderla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sladojević, Srdjan, et al.. (2024). Mobile ECG Devices Selection. SHILAP Revista de lepidopterología. 18(2). 319–330.
2.
Sladojević, Srdjan, et al.. (2024). Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation. Journal of Sensors. 2024. 1–17. 1 indexed citations
3.
Anderla, Andraš, et al.. (2024). Additive Manufacturing Processes: A Systematic Literature Review. 1–6. 1 indexed citations
4.
Anderla, Andraš, et al.. (2023). DRAWING AUTOMATION APPROACH USING SOLIDWORKS API. 152–157. 1 indexed citations
5.
Stefanović, Darko, et al.. (2022). Customer Churn Prediction in B2B Non-Contractual Business Settings Using Invoice Data. Applied Sciences. 12(10). 5001–5001. 10 indexed citations
6.
Anderla, Andraš, et al.. (2022). Prolonged Emergency Remote Teaching: Sustainable E-Learning or Human Capital Stuck in Online Limbo?. Sustainability. 14(8). 4584–4584. 4 indexed citations
7.
Lazarević, Milovan, et al.. (2022). Optimization of the Subassembly Production Process Using Simulation. International Journal of Simulation Modelling. 21(4). 663–674. 3 indexed citations
8.
Sladojević, Srdjan, et al.. (2019). Credit Card Fraud Detection - Machine Learning methods. 1–5. 174 indexed citations
9.
Arsenović, Marko, et al.. (2019). Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection. Symmetry. 11(7). 939–939. 332 indexed citations breakdown →
10.
Sladojević, Srdjan, et al.. (2018). Data Mining Derived Insights into the Regional Character of Medical Risk Scores. Journal of Medical Imaging and Health Informatics. 8(2). 157–166. 2 indexed citations
11.
Stefanović, Darko, et al.. (2018). Production planning business process modelling using UML class diagram. 1–6. 11 indexed citations
12.
Sladojević, Srdjan, et al.. (2018). Convolutional Neural Network Based SMS Spam Detection. 1–4. 28 indexed citations
13.
Arsenović, Marko, Srdjan Sladojević, Darko Stefanović, & Andraš Anderla. (2018). Deep neural network ensemble architecture for eye movements classification. 1–4. 13 indexed citations
14.
Stefanović, Darko, et al.. (2017). New approach to information systems engineering study program to meet industry expectations. International journal of engineering education. 33(4). 1369–1379. 1 indexed citations
15.
Sladojević, Srdjan, Andraš Anderla, Dubravko Ćulibrk, Darko Stefanović, & Bojаn Lаlić. (2017). Integer arithmetic approximation of the hog algorithm used for pedestrian detection. Computer Science and Information Systems. 14(2). 329–346. 3 indexed citations
16.
Arsenović, Marko, Srdjan Sladojević, Andraš Anderla, Darko Stefanović, & Bojаn Lаlić. (2017). Deep learning powered automated tool for generating image based datasets. 115 3. 13–17. 3 indexed citations
17.
Sladojević, Srdjan, Marko Arsenović, Andraš Anderla, Dubravko Ćulibrk, & Darko Stefanović. (2016). Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification. Computational Intelligence and Neuroscience. 2016. 1–11. 1199 indexed citations breakdown →
18.
Erić, Mirela, et al.. (2014). Breast volume estimation from systematic series of CT scans using the Cavalieri principle and 3D reconstruction. International Journal of Surgery. 12(9). 912–917. 23 indexed citations
19.
Ćulibrk, Dubravko, et al.. (2014). Evaluating the Role of Content in Subjective Video Quality Assessment. The Scientific World JOURNAL. 2014. 1–9. 8 indexed citations
20.
Anderla, Andraš, et al.. (2013). MR Image Based Approach for Metal Artifact Reduction in X‐Ray CT. The Scientific World JOURNAL. 2013(1). 524243–524243. 6 indexed citations

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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