Michele Lora

466 citations
50 papers · 295 · h-index 9

Impact in

Papers in

Michele Lora

44 papers receiving 280 citations

Peers

Michele Lora
Comparison fields: 5 of 40
  • Hardware and Architecture 92
  • Software 39
  • Industrial and Manufacturing Engineering 96
  • Computer Networks and Communications 70
  • Signal Processing 25
Replace Marten Lohstroh with:
Marten Lohstroh United States
Ivan Ruchkin United States
Achim Rettberg Germany
Tiberiu Seceleanu Sweden
Franz J. Rammig Germany
Mario Gleirscher Germany
Akshay Rajhans United States
Swarup Kumar Mohalik India
Zbigniew J. Czech Poland
Omar Hammami France
Michele Lora relative to Marten Lohstroh United States Marten Lohstroh's profile →
Citations per field
00.5×2.8×
Marten Lohstroh · 1×
Citations per year

Countries citing papers authored by Michele Lora

Since Specialization
Citations

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

Fields of papers citing papers by Michele Lora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202061
2 201827
3 201717
4 201917
5 201413
6 202212
7 20219
8 20168
9 20138
10 20157
11 20197
12 19986
13 20206
14 20146
15 20216
16 20166
17 20156
18 20186
19 20206
20 20234

About Michele Lora

Michele Lora is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 50 papers that have together received 295 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (22 papers), Flexible and Reconfigurable Manufacturing Systems (12 papers), Real-Time Systems Scheduling (11 papers), Manufacturing Process and Optimization (10 papers), Formal Methods in Verification (10 papers), Digital Transformation in Industry (7 papers), Real-time simulation and control systems (6 papers) and Simulation Techniques and Applications (6 papers). The work is most often cited by research in Hardware and Architecture (92 citations), Software (39 citations), Industrial and Manufacturing Engineering (96 citations), Computer Networks and Communications (70 citations) and Signal Processing (25 citations). Michele Lora has collaborated with scholars based in Italy, Singapore and United States. Frequent co-authors include Franco Fummi, Sudipta Chattopadhyay, Sara Vinco, Davide Quaglia, Pierluigi Nuzzo, Yishai Feldman, Alberto Sangiovanni‐Vincentelli, Nicola Bombieri, Sudipta Chattopadhyay and Ireneo Kikic. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Computers, ACM Transactions on Embedded Computing Systems, ACM Transactions on Internet Technology and Industrial & Engineering Chemistry Research.

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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