P.P. Saviotti

1.7k total citations
10 papers, 537 citations indexed

About

P.P. Saviotti is a scholar working on Economics and Econometrics, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, P.P. Saviotti has authored 10 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 6 papers in Management Science and Operations Research and 3 papers in Strategy and Management. Recurrent topics in P.P. Saviotti's work include Innovation Diffusion and Forecasting (6 papers), Economic Growth and Productivity (4 papers) and Economic and Technological Innovation (2 papers). P.P. Saviotti is often cited by papers focused on Innovation Diffusion and Forecasting (6 papers), Economic Growth and Productivity (4 papers) and Economic and Technological Innovation (2 papers). P.P. Saviotti collaborates with scholars based in United Kingdom, France and United States. P.P. Saviotti's co-authors include J. S. Metcalfe, Koen Frenken, Michel Trommetter, G. Mani, Bart Los, Bart Nooteboom, Michael Gibbons, Rod Coombs and Sylvie Michelland and has published in prestigious journals such as Nature Biotechnology, Research Policy and Technological Forecasting and Social Change.

In The Last Decade

P.P. Saviotti

10 papers receiving 451 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P.P. Saviotti United Kingdom 9 290 232 151 96 60 10 537
Riccardo Leoncini Italy 13 350 1.2× 286 1.2× 73 0.5× 110 1.1× 81 1.4× 38 551
Nicholas von Tunzelmann United Kingdom 10 249 0.9× 277 1.2× 74 0.5× 153 1.6× 32 0.5× 15 485
Walter Zegveld Netherlands 5 218 0.8× 200 0.9× 31 0.2× 141 1.5× 34 0.6× 10 486
Pietro Moncada-Paternò-Castello Spain 12 437 1.5× 178 0.8× 50 0.3× 78 0.8× 39 0.7× 25 579
Almarin Phillips United States 13 318 1.1× 170 0.7× 50 0.3× 30 0.3× 52 0.9× 44 567
Paolo Saviotti France 7 224 0.8× 216 0.9× 68 0.5× 111 1.2× 12 0.2× 10 509
Arthur Fishman Israel 14 329 1.1× 193 0.8× 144 1.0× 33 0.3× 221 3.7× 46 604
Attila Chikán Hungary 12 161 0.6× 306 1.3× 51 0.3× 50 0.5× 31 0.5× 55 596
Mary Trainor United Kingdom 11 293 1.0× 201 0.9× 36 0.2× 34 0.4× 130 2.2× 19 533
Mary Ellen Mogee United States 9 254 0.9× 194 0.8× 66 0.4× 273 2.8× 13 0.2× 17 586

Countries citing papers authored by P.P. Saviotti

Since Specialization
Citations

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

Fields of papers citing papers by P.P. Saviotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.P. Saviotti

This figure shows the co-authorship network connecting the top 25 collaborators of P.P. Saviotti. A scholar is included among the top collaborators of P.P. Saviotti 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 P.P. Saviotti. P.P. Saviotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Saviotti, P.P., et al.. (2000). The changing marketplace of bioinformatics. Nature Biotechnology. 18(12). 1247–1249. 8 indexed citations
2.
Los, Bart, P.P. Saviotti, & Bart Nooteboom. (2000). The empirical performance of a new inter-industry technology spillover measure. University of Twente Research Information. 118–151. 24 indexed citations
3.
Frenken, Koen, P.P. Saviotti, & Michel Trommetter. (1999). Variety and niche creation in aircraft, helicopters, motorcycles and microcomputers. Research Policy. 28(5). 469–488. 109 indexed citations
4.
Saviotti, P.P. & G. Mani. (1995). Competition, variety and technological evolution: A replicator dynamics model. Journal of Evolutionary Economics. 5(4). 369–392. 51 indexed citations
5.
Saviotti, P.P.. (1988). Information, variety and entropy in technoeconomic development. Research Policy. 17(2). 89–103. 44 indexed citations
6.
Saviotti, P.P.. (1986). Systems theory and technological change. Futures. 18(6). 773–786. 23 indexed citations
7.
Saviotti, P.P.. (1985). An approach to the measurement of technology based on the hedonic price method and related methods. Technological Forecasting and Social Change. 27(2-3). 309–334. 42 indexed citations
8.
Saviotti, P.P. & J. S. Metcalfe. (1984). A theoretical approach to the construction of technological output indicators. Research Policy. 13(3). 141–151. 222 indexed citations
9.
Saviotti, P.P., et al.. (1982). An approach to the construction of indexes of technological change and of technological sophistication. Technological Forecasting and Social Change. 21(2). 133–147. 13 indexed citations
10.
Coombs, Rod, et al.. (1981). Technological innovation and competitiveness in the tractor industry. Physics in Technology. 12(6). 240–244. 1 indexed citations

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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