Robert P. Lieli

540 citations
16 papers · 271 · h-index 9

Impact in

Papers in

    • Health Systems, Economic Evaluations, Quality of Life 3
    • Economic Policies and Impacts 2
    • Statistical Methods and Inference 8
    • Advanced Causal Inference Techniques 7
    • Statistical Methods and Bayesian Inference 2

Robert P. Lieli

16 papers receiving 259 citations

Peers

Robert P. Lieli
Comparison fields: 5 of 87
  • Statistics and Probability 143
  • General Economics, Econometrics and Finance 29
  • Finance 34
  • Economics and Econometrics 75
  • Management Science and Operations Research 27
Replace David T. Jacho‐Chávez with:
David T. Jacho‐Chávez United States
Tiemen Woutersen United States
Yannis Bilias United States
Emanuele Taufer Italy
Damian Kozbur Switzerland
Michele Zenga Italy
Songnian Chen Hong Kong
Shahiduzzaman Quoreshi Sweden
Federico A. Bugni United States
Robert P. Lieli relative to David T. Jacho‐Chávez United States David T. Jacho‐Chávez's profile →
Citations per field
00.5×2.8×
David T. Jacho‐Chávez · 1×
Citations per year

Countries citing papers authored by Robert P. Lieli

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Lieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Robert P. Lieli, 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 Robert P. Lieli Line = papers co-authored together Robert P. Lieli links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201481
2 202039
3 201335
4 201428
5 200922
6 201819
7 201410
8 201210
9 20098
10 20205
11 20205
12 20124
13 20182
14 20141
15 20191
16 20191

About Robert P. Lieli

Robert P. Lieli is a scholar working on Economics and Econometrics, Statistics and Probability, Finance, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 16 papers that have together received 271 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced Causal Inference Techniques (7 papers), Forecasting Techniques and Applications (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods and Bayesian Inference (2 papers), Financial Markets and Investment Strategies (2 papers), Monetary Policy and Economic Impact (2 papers) and Economic Policies and Impacts (2 papers). The work is most often cited by research in Statistics and Probability (143 citations), General Economics, Econometrics and Finance (29 citations), Finance (34 citations), Economics and Econometrics (75 citations) and Management Science and Operations Research (27 citations). Robert P. Lieli has collaborated with scholars based in United States, Taiwan and Hungary. Frequent co-authors include Jason Abrevaya, Yu‐Chin Hsu, Graham Elliott, Stephen G. Donald, Halbert White, Qingliang Fan, Michael Springborn and Maxwell B. Stinchcombe. Their work appears in journals such as Journal of Business and Economic Statistics, Journal of Econometrics, International Journal of Forecasting, The Review of Economics and Statistics and Journal of the European Economic Association.

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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