Massimo Riccaboni

7.2k citations
152 papers · 4.3k · 1 hit paper · h-index 32

Impact in

Papers in

    • Firm Innovation and Growth 24
    • Complex Systems and Time Series Analysis 21
    • Economic and Technological Innovation 19
    • Innovation Policy and R&D 17
    • Innovation and Knowledge Management 24
    • Business Strategy and Innovation 15

Massimo Riccaboni

145 papers receiving 4.1k citations

Massimo Riccaboni's Hit Papers

The productivity crisis in pharmaceutical R&D 2011 · 634 citations
6340+5+10Years since publication200400600

Peers

Massimo Riccaboni
Comparison fields: 5 of 184
  • Management of Technology and Innovation 684
  • Economics and Econometrics 2.0k
  • Strategy and Management 1.0k
  • Statistics, Probability and Uncertainty 328
  • Statistical and Nonlinear Physics 543
Replace Fabio Pammolli with:
Fabio Pammolli Italy
Jiancheng Guan China
Philip Shapira United States
Jason Owen‐Smith United States
Ulrich Schmoch Germany
Jan Youtie United States
Ying Huang China
Ben R. Martin United Kingdom
Andrea Bonaccorsi Italy
Diana Hicks United States
Massimo Riccaboni relative to Fabio Pammolli Italy Fabio Pammolli's profile →
Citations per field
00.5×1.5×
Fabio Pammolli · 1×
Citations per year

Countries citing papers authored by Massimo Riccaboni

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Riccaboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The productivity crisis in pharmaceutical R&D
Hit paper breakdown →
2011634
2 2002327
3 2001224
4 2001208
5 2014207
6 2003163
7 2015157
8 2005129
9 2012124
10 2021124
11 201488
12 201171
13 201364
14 201464
15 201364
16 200859
17 201458
18 202054
19 199753
20 200452

About Massimo Riccaboni

Massimo Riccaboni is a scholar working on Economics and Econometrics, Strategy and Management, Statistical and Nonlinear Physics, Management of Technology and Innovation and General Economics, Econometrics and Finance, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (28 papers), Innovation and Knowledge Management (24 papers), Firm Innovation and Growth (24 papers), Complex Systems and Time Series Analysis (21 papers), Economic and Technological Innovation (19 papers), Innovation Policy and R&D (17 papers), Business Strategy and Innovation (15 papers) and Global trade and economics (14 papers). The work is most often cited by research in Management of Technology and Innovation (684 citations), Economics and Econometrics (2.0k citations), Strategy and Management (1.0k citations), Statistics, Probability and Uncertainty (328 citations) and Statistical and Nonlinear Physics (543 citations). Massimo Riccaboni has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Fabio Pammolli, Laura Magazzini, H. Eugene Stanley, Luca Verginer, Luigi Orsenigo, Jason Owen‐Smith, Walter W. Powell, Alexander M. Petersen, Alessandro Chessa and Zhen Zhu. Their work appears in journals such as PLoS ONE, Research Policy, Scientific Reports, Proceedings of the National Academy of Sciences and Applied Network Science.

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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