Nicola Zeni

723 citations
22 papers · 324 indexed · h-index 9
Topics
Semantic Web and Ontologies (7 papers)Business Process Modeling and Analysis (6 papers)Software Engineering Research (5 papers)
Partner nations
ItalyCanadaSouth Korea

In The Last Decade

Nicola Zeni

20 papers receiving 302 citations

Peers

Nicola Zeni
Comparison fields: 5 of 52
  • Information Systems 198
  • Artificial Intelligence 189
  • Management Information Systems 46
  • Software 41
  • Sociology and Political Science 34
Replace Nadzeya Kiyavitskaya with:
Nadzeya Kiyavitskaya Italy
Sallam Abualhaija Luxembourg
Mattia Salnitri Italy
Goran Sladić Serbia
Damiano Torre Canada
Smita Ghaisas India
Irene Garrigós Spain
Alberto Siena Italy
Evellin Cardoso Brazil
Pascal van Eck Netherlands
Nicola Zeni relative to Nadzeya Kiyavitskaya Italy Nadzeya Kiyavitskaya's profile →
Citations per field
00.5×1.5×1.9×
Nadzeya Kiyavitskaya · 1×
Citations per year

Countries citing papers authored by Nicola Zeni

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Zeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Zeni

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Zeni. A scholar is included among the top collaborators of Nicola Zeni 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 Nicola Zeni. Nicola Zeni 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
#WorkIndexed citations
1 2
2 8
3 4
4
From Legal Contracts to Formal Specifications: A Progress Report.
0
5 9
6 4
7 4
8 11
9 2
10 61
11 4
12 1
13 41
14 3
15 90
16
Requirements for Tools for Ambiguity Identification and Measurement in Natural Language Requirements Specifications.
7
17 25
18
Semi-Automatic Semantic Annotations for Web Documents
16
19
Ambiguity Identification and Measurement in Natural Language Texts
17
20 2

About Nicola Zeni

Nicola Zeni is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 22 papers that have together received 324 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Business Process Modeling and Analysis (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Software (41 citations), Information Systems (198 citations) and Artificial Intelligence (189 citations). Nicola Zeni has collaborated with scholars based in Italy, Canada and South Korea. Frequent co-authors include Luisa Mich, Nadzeya Kiyavitskaya, John Mylopoulos, James R. Cordy, Daniel M. Berry, Annie I. Antón, Travis D. Breaux, Mariano Ceccato, Roberta Ferrario and Marco Cristani. Their work appears in journals such as Computer Vision and Image Understanding, Data & Knowledge Engineering and Requirements 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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