Francis Diebold: h-index, Total Citations, and Citation Map
Francis Diebold's h-index is 99 (194 i10-index, 98,196+ total citations across 441+ publications) according to Google Scholar as of July 2026. Francis Diebold is affiliated with Professor of Economics, University of Pennsylvania.
Francis Diebold is a researcher affiliated with Professor of Economics, University of Pennsylvania, specializing in Economics, econometrics, time series. Their work has been cited 98,196 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Francis Diebold's Citation Metrics
Bibliometric impact based on 441 indexed publications.
- H-Index
- 99
- i10-Index
- 194
- Total Citations
- 98,196
- Citing Countries
- 45
As of July 2026.
Francis Diebold has an h-index of 99 and 98,196 total citations across 441 publications, with research cited by institutions in 45 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Francis Diebold's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Comparing predictive accuracy
199513,694
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
39 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational frameworks for evaluating predictive accuracy and density forecasts, significantly advancing the methodology for forecasting financial term structures.
The researcher developed a foundational framework for measuring financial asset return and volatility spillovers, subsequently extending this methodology to estimate global bank network connectedness.
The researcher established foundational frameworks for evaluating and combining forecasts, significantly advancing the methodological rigor and practical utility of predictive analytics in economics and finance.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Francis Diebold's research
Francis Diebold is a researcher in Economics, econometrics and time series at Professor of Economics, University of Pennsylvania. Their work has been cited 98,196 times across 441 publications (h-index 99), according to Google Scholar.
Their most-cited work, “Comparing predictive accuracy” (1995), has accumulated 13,694 citations. Other influential works include “Better to give than to receive: Predictive directional measurement of volatility spillovers” (2012) with 7,009 citations and “On the network topology of variance decompositions: Measuring the connectedness of financial firms” (2014) with 5,736 citations.
Citations of Francis Diebold's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











