Federico Di Palma

1.6k citations
32 papers · 560 indexed · h-index 13

Federico Di Palma

29 papers receiving 544 citations

Peers

Federico Di Palma
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 283
  • Industrial and Manufacturing Engineering 60
  • Genetics 169
  • Surgery 253
  • Control and Systems Engineering 96
Replace Chiara Toffanin with:
Chiara Toffanin Italy
Jeffrey S. Freeman United States
Benyamin Grosman United States
Vasilios C. Protopappas Greece
Rui Zou China
Yuichiro Toda Japan
Harald Kirchsteiger Austria
Michiko Watanabe Japan
Cesar C. Palerm United States
Nicole Hobbs United States
Federico Di Palma relative to Chiara Toffanin Italy Chiara Toffanin's profile →
Citations per field
00.5×1.5×1.8×
Chiara Toffanin · 1×
Citations per year

Countries citing papers authored by Federico Di Palma

Since Specialization
Citations

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

Fields of papers citing papers by Federico Di Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20200
4 20198
5 201743
6 201719
7 201788
8 201476
9 201417
10 201412
11 20131
12 201219
13 20112
14 200612
15 20053
16 200546
17 200515
18
Algoritmi end-of-line per la diagnosi di processo nella fabbricazione di dispositivi a semiconduttore
20052
19 20053
20 200432

About Federico Di Palma

Federico Di Palma is a scholar working on Industrial and Manufacturing Engineering, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 32 papers that have together received 560 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Diabetes and associated disorders (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Pancreatic function and diabetes (5 papers), Water Systems and Optimization (4 papers), Water resources management and optimization (4 papers), Advanced Control Systems Optimization (4 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (283 citations), Industrial and Manufacturing Engineering (60 citations) and Genetics (169 citations). Federico Di Palma has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Lalo Magni, Chiara Toffanin, Claudio Cobelli, Mirko Messori, Giuseppe De Nicolao, R. Visentin, Gaetano Miraglia, Simone Del Favero, Giordano Lanzola and F. Piccinini. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Annals of Oncology.

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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