Margit Antal

560 citations
20 papers · 325 · h-index 10

Impact in

Papers in

    • User Authentication and Security Systems 12
    • Advanced Malware Detection Techniques 7
    • Biometric Identification and Security 5
    • Speech and Audio Processing 4

Margit Antal

19 papers receiving 311 citations

Peers

Margit Antal
Comparison fields: 5 of 45
  • Signal Processing 200
  • Human-Computer Interaction 80
  • Information Systems 231
  • Computer Science Applications 18
  • Computer Vision and Pattern Recognition 67
Replace Kuldeep Singh Yadav with:
Kuldeep Singh Yadav India
Rajkumar Janakiraman Singapore
Alejandro Acien Spain
Soonja Yeom Australia
Jaroslav Šeděnka United States
Sarah Prange Germany
Ahmed Awad E. Ahmed Canada
Proadpran Punyabukkana Thailand
Rainhard Dieter Findling Austria
Yun‐Cheng Ju United Kingdom
Margit Antal relative to Kuldeep Singh Yadav India Kuldeep Singh Yadav's profile →
Citations per field
00.5×4.9×
Kuldeep Singh Yadav · 1×
Citations per year

Countries citing papers authored by Margit Antal

Since Specialization
Citations

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

Fields of papers citing papers by Margit Antal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Margit Antal, 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 Margit Antal Line = papers co-authored together Margit Antal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201586
2 201542
3 201540
4 201630
5 201025
6 202018
7 201617
8 201816
9 201911
10 202110
11 20178
12 20164
13
PHONETIC SPEAKER RECOGNITION
20084
14 20064
15 20213
16 20173
17
TOWARD A SIMPLE PHONEME BASED SPEECH RECOGNITION SYSTEM
20072
18
CHALLENGES OF VIRTUAL ENVIRONMENT IN EDUCATION
20121
19
BROAD PHONETIC CLASSES EXPRESSING SPEAKER INDIVIDUALITY
20061
20 20230

About Margit Antal

Margit Antal is a scholar working on Information Systems, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include User Authentication and Security Systems (12 papers), Advanced Malware Detection Techniques (7 papers), Biometric Identification and Security (5 papers), Speech and Audio Processing (4 papers), Handwritten Text Recognition Techniques (4 papers), Speech Recognition and Synthesis (4 papers), Algorithms and Data Compression (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (200 citations), Human-Computer Interaction (80 citations), Information Systems (231 citations), Computer Science Applications (18 citations) and Computer Vision and Pattern Recognition (67 citations). Margit Antal has collaborated with scholars based in Romania and Slovenia. Frequent co-authors include László Szabó and Krisztián Búza. Their work appears in journals such as Pattern Recognition Letters, IEEE Access, Expert Systems with Applications, Mobile Information Systems and SHILAP Revista de lepidopterología.

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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