Danielle Li

17 papers receiving 1.1k citations

Danielle Li's Hit Papers

Generative AI at Work 2024 · 259 citations
2590+1Years since publication50100150200250

Peers

Danielle Li
Comparison fields: 5 of 96
  • Statistics, Probability and Uncertainty 184
  • Information Systems and Management 198
  • Management of Technology and Innovation 114
  • Economics and Econometrics 282
  • General Decision Sciences 28
Replace Pradeep Racherla with:
Pradeep Racherla United States
Matthew S. Bothner United States
Carolin Haeussler Germany
Kirti Goyal India
Laurence E. Leigh Lebanon
Michel Clément Germany
Matt Marx United States
Jens Hogreve Germany
Marina Fiedler Germany
Omar S. Itani Lebanon
Danielle Li relative to Pradeep Racherla United States Pradeep Racherla's profile →
Citations per field
00.5×5×12.4×
Pradeep Racherla · 1×
Citations per year

Countries citing papers authored by Danielle Li

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Danielle Li, 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 Danielle Li Line = papers co-authored together Danielle Li links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Generative AI at Work
Hit paper breakdown →
2024259
2 2018163
3 2015148
4 2017143
5 2017130
6 201787
7 201965
8 202142
9 202026
10
School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders
201512
11 20229
12
Information, Bias, and Eciency in Expert Evaluation: Evidence from the NIH
20125
13 20225
14 20254
15 20213
16 20253
17 20262

About Danielle Li

Danielle Li is a scholar working on Information Systems and Management, Economics and Econometrics, Statistics, Probability and Uncertainty, Organizational Behavior and Human Resource Management and Management of Technology and Innovation, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Research, Science, and Academia (4 papers), Pharmaceutical Economics and Policy (3 papers), Labor market dynamics and wage inequality (3 papers), Names, Identity, and Discrimination Research (3 papers), scientometrics and bibliometrics research (3 papers), Pharmaceutical industry and healthcare (2 papers), Intellectual Property and Patents (2 papers) and AI and HR Technologies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (184 citations), Information Systems and Management (198 citations), Management of Technology and Innovation (114 citations), Economics and Econometrics (282 citations) and General Decision Sciences (28 citations). Danielle Li has collaborated with scholars based in United States and Canada. Frequent co-authors include Lindsey Raymond, Pierre Azoulay, Erik Brynjolfsson, Bhaven N. Sampat, Leila Agha, Lisa Kahn, Mitchell Hoffman, Joshua Graff Zivin, Dimitris Papanikolaou and Kelly Shue. Their work appears in journals such as The Quarterly Journal of Economics, Science, The Review of Economic Studies, American Economic Journal Applied Economics and Review of Financial Studies.

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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