Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Employee-driven digital innovation: A systematic review and a research agenda
202279 citationsIlias O. Pappas, Letizia Jaccheri et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Letizia Jaccheri
Since
Specialization
Citations
This map shows the geographic impact of Letizia Jaccheri'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 Letizia Jaccheri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letizia Jaccheri more than expected).
Fields of papers citing papers by Letizia Jaccheri
This network shows the impact of papers produced by Letizia Jaccheri. 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 Letizia Jaccheri. The network helps show where Letizia Jaccheri may publish in the future.
Co-authorship network of co-authors of Letizia Jaccheri
This figure shows the co-authorship network connecting the top 25 collaborators of Letizia Jaccheri.
A scholar is included among the top collaborators of Letizia Jaccheri 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 Letizia Jaccheri. Letizia Jaccheri is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pappas, Ilias O., et al.. (2021). EMPLOYEE-DRIVEN DIGITAL INNOVATION IN PUBLIC ORGANIZATIONS – A CASE STUDY. Journal of the Association for Information Systems.3 indexed citations
8.
Jaccheri, Letizia, et al.. (2020). Utilising the innovation potential - A systematic literature review on employee-driven digital innovation. Journal of the Association for Information Systems.3 indexed citations
Giarré, L., Letizia Jaccheri, & Ilenia Tinnirello. (2017). Lecture Notes in Computer Science book series (LNCS, volume 10507).3 indexed citations
13.
Jaccheri, Letizia, et al.. (2017). Women and computer games (workshops and tutorials) - presentasjon av en konferanse. Duo Research Archive (University of Oslo).1 indexed citations
14.
Jaccheri, Letizia, et al.. (2017). Women and computer games. Duo Research Archive (University of Oslo).
Jaccheri, Letizia & Marco Torchiano. (2004). Integrating Architecture and Familiarization in CBD Processes. PORTO Publications Open Repository TOrino (Politecnico di Torino).2 indexed citations
Conradi, Reidar, et al.. (1994). EPOS: object-oriented cooperative process modelling. 33–70.22 indexed citations
19.
Baldi, Mario, et al.. (1994). E 3 : object-oriented software process model design. 279–292.1 indexed citations
20.
Conradi, Reidar, et al.. (1993). Variability of Process Models and the EPOS Solution.. 43–46.1 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.