Michael Falcone

437 citations
10 papers · 344 · h-index 8

Impact in

Papers in

    • Software Engineering Research 4
    • ICT in Developing Communities 2
    • Software Engineering Techniques and Practices 2
    • Web Data Mining and Analysis 1
    • Sentiment Analysis and Opinion Mining 1
    • Topic Modeling 1

Michael Falcone

8 papers receiving 333 citations

Peers

Michael Falcone
Comparison fields: 5 of 71
  • Computer Science Applications 90
  • Human-Computer Interaction 90
  • Information Systems 175
  • Software 23
  • Human Factors and Ergonomics 6
Replace Tim Shaffer with:
Tim Shaffer United States
Zéphyrin Soh Canada
William Cheung United States
Leonel Merino Chile
Vlado Glavinić Croatia
Priscila Cedillo Ecuador
Pierre A. Akiki United Kingdom
Nektarios Moumoutzis Greece
Kevin Wang United States
Dejan Kovachev Germany
Michael Falcone relative to Tim Shaffer United States Tim Shaffer's profile →
Citations per field
00.5×1.5×2×
Tim Shaffer · 1×
Citations per year

Countries citing papers authored by Michael Falcone

Since Specialization
Citations

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

Fields of papers citing papers by Michael Falcone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michael Falcone, 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 Michael Falcone Line = papers co-authored together Michael Falcone links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012109
2 201456
3 201550
4 201249
5 201328
6 201221
7 201415
8 201314
9 20201
10
The first months of operation for the Experimental Precise Timing Station in the GSTB-V1 project
20041

About Michael Falcone

Michael Falcone is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Communication, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Software Engineering Research (4 papers), Context-Aware Activity Recognition Systems (2 papers), ICT in Developing Communities (2 papers), Software Engineering Techniques and Practices (2 papers), Web Data Mining and Analysis (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Superconducting Materials and Applications (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Science Applications (90 citations), Human-Computer Interaction (90 citations), Information Systems (175 citations), Software (23 citations) and Human Factors and Ergonomics (6 citations). Michael Falcone has collaborated with scholars based in United States, Switzerland and Greece. Frequent co-authors include Bonita Sharif, Jonathan I. Maletic, Alina Lazar, Mayank Goel, Waylon Brunette, Gaetano Borriello, Rohit Chaudhri, Tim Shaffer, S. Müller and Christian Poellabauer. Their work appears in journals such as Journal of Archival Organization, Open MIND and CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica).

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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