Massimo Buscema

186 papers receiving 4.5k citations

Peers

Massimo Buscema
Comparison fields: 5 of 213
  • Endocrinology, Diabetes and Metabolism 547
  • Health Informatics 39
  • Cognitive Neuroscience 551
  • Reproductive Medicine 218
  • Psychiatry and Mental health 372
Replace Werner Vach with:
Werner Vach Germany
Debashis Ghosh United States
Lü Tian United States
Harald Binder Germany
Enzo Grossi Italy
Inke R. König Germany
Daniel F. Heitjan United States
Chun Li China
Donglin Zeng United States
A. Cecile J.W. Janssens Netherlands
Massimo Buscema relative to Werner Vach Germany Werner Vach's profile →
Citations per field
00.5×2.7×
Werner Vach · 1×
Citations per year

Countries citing papers authored by Massimo Buscema

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Buscema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016256
2 2007223
3 2014221
4 1998219
5 2012157
6 2003108
7 2011103
8 2016100
9 201793
10 201692
11 198984
12 200879
13 201676
14 200874
15 201468
16 201666
17 201865
18 200864
19 200462
20 200259

About Massimo Buscema

Massimo Buscema is a scholar working on Artificial Intelligence, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cognitive Neuroscience, having authored 195 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Pancreatic function and diabetes (19 papers), Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers), Diabetes and associated disorders (11 papers), Metabolism, Diabetes, and Cancer (11 papers), EEG and Brain-Computer Interfaces (9 papers) and Helicobacter pylori-related gastroenterology studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (547 citations), Health Informatics (39 citations), Cognitive Neuroscience (551 citations), Reproductive Medicine (218 citations) and Psychiatry and Mental health (372 citations). Massimo Buscema has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enzo Grossi, Paola Rossetti, Riccardo Vigneri, Antonio Simone Laganà, Pier Luigi Sacco, Salvatore Giovanni Vitale, Marco Intraligi, Agnese Maria Chiara Rapisarda, Paolo Maria Rossini and A. Nigro. Their work appears in journals such as Substance Use & Misuse, Diabetologia, Quality & Quantity, Physica A Statistical Mechanics and its Applications and Journal of Autoimmunity.

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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