Merlo

642 citations
6 papers · 508 · h-index 5

Impact in

    • Software Engineering Research
    • Web Applications and Data Management
    • Software Engineering Techniques and Practices
  • Software top 10%
    • Software Testing and Debugging Techniques
    • Model-Driven Software Engineering Techniques

Papers in

Journals
International Conference on Software Maintenance (3 papers)PolyPublie (École Polytechnique de Montréal) (2 papers)Cineca Institutional Research Information System (Tor Vergata University) (1 paper)
Partner nations
Canada

In The Last Decade

Merlo

6 papers receiving 463 citations

Peers

Merlo
Comparison fields: 5 of 22
  • Information Systems 460
  • Software 21
  • Artificial Intelligence 67
  • Signal Processing 5
  • Computer Science Applications 3
Replace Marian Jureczko with:
Marian Jureczko Poland
Gustavo Vale Brazil
WILLIAN NALEPA OIZUMI Brazil
Michael Kong Greece
Nishant Rodrigues United States
Jean Petrić United Kingdom
Pablo Gordillo Spain
Clara Schneidewind Germany
Anand Ashok Sawant Netherlands
Ameya Ketkar United States
Merlo relative to Marian Jureczko Poland Marian Jureczko's profile →
Citations per field
00.5×1.5×2×2.5×
Marian Jureczko · 1×
Citations per year

Countries citing papers authored by Merlo

Since Specialization
Citations

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

Fields of papers citing papers by Merlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Merlo, 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 Merlo Line = papers co-authored together Merlo links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1996410
2 199645
3 200030
4 199411
5 19947
6
New Model independent Results From the First Six Full Annual Cycles of DAMA/LIBRA-Phase2
20185

About Merlo

Merlo is a scholar working on Information Systems, Software, Nuclear and High Energy Physics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 508 indexed citations. Recurring topics across this work include Software Engineering Research (4 papers), Software Testing and Debugging Techniques (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Information Systems (460 citations), Software (21 citations), Artificial Intelligence (67 citations), Signal Processing (5 citations) and Computer Science Applications (3 citations). Merlo has collaborated with scholars based in Canada. Frequent co-authors include Ying Hu, Bernstein, Pierluigi Belli, Francesco Montecchia, Annalisa D'Angelo, Riccardo Cerulli, A. Bussolotti, A. Mattei, Alessandro Di Marco and F. Cappella. Their work appears in journals such as International Conference on Software Maintenance, PolyPublie (École Polytechnique de Montréal) and Cineca Institutional Research Information System (Tor Vergata University).

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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