Ester Zumpano

2.3k citations
119 papers · 1.0k · h-index 19

Impact in

Papers in

Ester Zumpano

101 papers receiving 957 citations

Peers

Ester Zumpano
Comparison fields: 5 of 105
  • Artificial Intelligence 558
  • Computer Networks and Communications 210
  • Health Informatics 11
  • Radiology, Nuclear Medicine and Imaging 187
  • Health Information Management 31
Replace Md. Alamin Talukder with:
Md. Alamin Talukder Bangladesh
Luis Rueda Canada
Debabrata Samanta India
Junaid Rashid Pakistan
Divakar Yadav India
Muhammad Wasif Nisar Pakistan
Amerah Alabrah Saudi Arabia
Arabi Keshk Egypt
Tolga Ensarı Türkiye
Zhanhuai Li China
Ester Zumpano relative to Md. Alamin Talukder Bangladesh Md. Alamin Talukder's profile →
Citations per field
00.5×3.9×
Md. Alamin Talukder · 1×
Citations per year

Countries citing papers authored by Ester Zumpano

Since Specialization
Citations

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

Fields of papers citing papers by Ester Zumpano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200397
2 202255
3 202342
4 201836
5 202236
6 201830
7 201927
8 201927
9 202325
10 200525
11 202224
12 200824
13 202221
14 201721
15 202421
16 202220
17 201820
18 201820
19 201720
20 202318

About Ester Zumpano

Ester Zumpano is a scholar working on Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 119 papers that have together received 1.0k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (30 papers), AI in cancer detection (23 papers), Semantic Web and Ontologies (22 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Database Systems and Queries (14 papers), Cutaneous Melanoma Detection and Management (12 papers), COVID-19 diagnosis using AI (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (558 citations), Computer Networks and Communications (210 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Health Information Management (31 citations). Ester Zumpano has collaborated with scholars based in Italy, India and United States. Frequent co-authors include Eugenio Vocaturo, Luciano Caroprese, Sergio Greco, Pierangelo Veltri, Gianluigi Greco, Vijaypal Singh Dhaka, Carmela Comito, Geeta Rani, Andrea Tagarelli and Sergio Flesca. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Theory and Practice of Logic Programming, World Wide Web, Intelligent Systems with Applications and IEEE Transactions on Knowledge and Data Engineering.

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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