Philippe J. Giabbanelli

2.9k citations
120 papers · 1.4k indexed · h-index 20
Topics
Cognitive Science and Mapping (32 papers)Complex Systems and Decision Making (13 papers)Complex Network Analysis Techniques (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Public Health

In The Last Decade

Philippe J. Giabbanelli

109 papers receiving 1.3k citations

Peers

Philippe J. Giabbanelli
Comparison fields: 5 of 138
  • Artificial Intelligence 501
  • Management Science and Operations Research 282
  • Public Health, Environmental and Occupational Health 136
  • General Health Professions 115
  • Education 114
Replace Erez Shmueli with:
Erez Shmueli Israel
Sean J. Taylor United States
Mike K. P. So Hong Kong
Hamed Jelodar China
Tianyong Hao China
Bela Stantić Australia
Jim Duggan Ireland
Stefano Cresci Italy
Marco Spruit Netherlands
Zhijun Yan China
Philippe J. Giabbanelli relative to Erez Shmueli Israel Erez Shmueli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philippe J. Giabbanelli

Since Specialization
Citations

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

Fields of papers citing papers by Philippe J. Giabbanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe J. Giabbanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe J. Giabbanelli. A scholar is included among the top collaborators of Philippe J. Giabbanelli 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 Philippe J. Giabbanelli. Philippe J. Giabbanelli 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 0
3 4
4 2
5 12
6 3
7 0
8 3
9 3
10 15
11 8
12 7
13 6
14 10
15 26
16 16
17 63
18 13
19 4
20 61

About Philippe J. Giabbanelli

Philippe J. Giabbanelli is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Science Applications, having authored 120 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (32 papers), Complex Systems and Decision Making (13 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Management Science and Operations Research (282 citations), Computer Science Applications (109 citations) and Artificial Intelligence (501 citations). Philippe J. Giabbanelli has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Rik Crutzen, Vijay Mago, Andrew A. Tawfik, Steven A. Gray, Payam Aminpour, Thomas Torsney-Weir, Arry Akhmad Arman, Suhono Harso Supangkat, Antonie Jetter and Frederick J. Zimmerman. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Public Health.

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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