Sanda Martinčić-Ipšić

957 citations
52 papers · 543 indexed · h-index 13

Sanda Martinčić-Ipšić

50 papers receiving 507 citations

Peers

Sanda Martinčić-Ipšić
Comparison fields: 5 of 96
  • Artificial Intelligence 377
  • Statistical and Nonlinear Physics 90
  • Signal Processing 49
  • Health Informatics 6
  • Information Systems 92
Replace O‐Joun Lee with:
O‐Joun Lee South Korea
Zhaoyun Ding China
Luca Virgili Italy
Xianyong Li China
Warih Maharani Indonesia
Yafeng Lu United States
Maíra Gatti de Bayser Brazil
Haizheng Zhang United States
Tejaswini Deoskar United Kingdom
Mauro Dragoni Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sanda Martinčić-Ipšić

Since Specialization
Citations

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

Fields of papers citing papers by Sanda Martinčić-Ipšić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanda Martinčić-Ipšić. 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 Sanda Martinčić-Ipšić. The network helps show where Sanda Martinčić-Ipšić may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Sanda Martinčić-Ipšić, 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 Sanda Martinčić-Ipšić Line = papers co-authored together Sanda Martinčić-Ipšić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20232
3 202113
4 20219
5 20191
6 201745
7 20151
8 20114
9
Automatsko raspoznavanje hrvatskoga govora velikoga vokabulara
20111
10 20117
11
Intonation modeling for Croatian speech synthesis
20101
12
Overview of a Croatian weather domain spoken dialog system prototype
20101
13 20103
14
Grapheme-to-Phoneme Conversion for Croatian Speech Synthesis
20093
15
Statistical Language Models for Croatian Weather-domain Corpus
20090
16
TEXT-TO-SPEECH SYNTHESIS: A PROTOTYPE SYSTEM FOR CROATIAN LANGUAGE
20086
17
WEATHER FORECAST DATA SEMANTIC ANALYSIS IN F-LOGIC
20063
18
Korpus hrvatskoga govora
20041
19
Bilingual Speech Recognition for Weather Information Retrieval Dialog System
20031
20 20039

About Sanda Martinčić-Ipšić

Sanda Martinčić-Ipšić is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics, having authored 52 papers that have together received 543 indexed citations. Recurring topics across this work include Speech and dialogue systems (15 papers), Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (13 papers), Speech and Audio Processing (9 papers), Advanced Text Analysis Techniques (9 papers), Topic Modeling (5 papers), Complex Network Analysis Techniques (5 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Artificial Intelligence (377 citations), Statistical and Nonlinear Physics (90 citations) and Signal Processing (49 citations). Sanda Martinčić-Ipšić has collaborated with scholars based in Croatia, Slovenia and Romania. Frequent co-authors include Ana Meštrović, Matjaž Perc, Matjaž Gams, Mitja Luštrek, Miran Pobar, France Mihelič, Milan Petrović, Janez Žibert, Francesco Guerra and Barbara Plank. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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