Daniel Jacob : Citation Profile

Humboldt-Universität Berlin

4

H index

1

i10 index

29

Citations

RESEARCH PRODUCTION:

1

Articles

5

Papers

RESEARCH ACTIVITY:

   2 years (2019 - 2021). See details.
   Cites by year: 14
   Journals where Daniel Jacob has often published
   Relations with other researchers
   Recent citing documents: 9.    Total self citations: 2 (6.45 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pja608
   Updated: 2026-05-09    RAS profile: 2021-06-04    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Daniel Jacob.

Is cited by:

Wang, Weining (3)

Knaus, Michael (3)

Wooldridge, Jeffrey (2)

Häusler, Konstantin (2)

Yasar, Mahmut (2)

Härdle, Wolfgang (2)

Wang, Bingling (1)

Benatia, David (1)

Cites to:

Chernozhukov, Victor (13)

Lechner, Michael (9)

Strittmatter, Anthony (7)

Knaus, Michael (7)

Hansen, Christian (6)

Athey, Susan (6)

Newey, Whitney (6)

Ichimura, Hidehiko (5)

Robinson, Peter (4)

Fernandez-Val, Ivan (3)

Escanciano, Juan Carlos (3)

Main data

Where Daniel Jacob has published?

Working Papers Series with more than one paper published# docs
Papers / arXiv.org3
IRTG 1792 Discussion Papers / Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"2

Recent works citing Daniel Jacob (2025 and 2024)

YearTitle of citing document
2025Policy-Aligned Estimation of Conditional Average Treatment Effects. (2025). Waisman, Caio ; Timoshenko, Artem. In: Papers. RePEc:arx:papers:2512.13400.

Full description at Econpapers || Download paper

2026Detecting and Explaining Unlawful Insider Trading: A Shapley Value and Causal Forest Approach to Identifying Key Drivers and Causal Relationships. (2026). Kinser, Jason ; Kennedy, William ; Axtell, Robert ; Griva, Igor ; Neupane, Krishna. In: Papers. RePEc:arx:papers:2602.19841.

Full description at Econpapers || Download paper

2024Improving uplift model evaluation on randomized controlled trial data. (2024). Lessmann, Stefan ; Bokelmann, Bjorn. In: European Journal of Operational Research. RePEc:eee:ejores:v:313:y:2024:i:2:p:691-707.

Full description at Econpapers || Download paper

2025Heteroscedasticity-aware stratified sampling to improve uplift modeling. (2025). Lessmann, Stefan ; Bokelmann, Bjrn. In: European Journal of Operational Research. RePEc:eee:ejores:v:325:y:2025:i:1:p:118-131.

Full description at Econpapers || Download paper

2024Calibration of Heterogeneous Treatment Effects in Randomized Experiments. (2024). Leng, Yan ; Dimmery, Drew. In: Information Systems Research. RePEc:inm:orisre:v:35:y:2024:i:4:p:1721-1742.

Full description at Econpapers || Download paper

2025Fairness testing for uplift models. (2025). Li, Zhuang ; Xu, Yourong ; Thielbar, Melinda. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:13:y:2025:i:3:d:10.1057_s41270-024-00339-6.

Full description at Econpapers || Download paper

2024Precision Digital Health. (2024). Xia, Yusen ; Baird, Aaron. In: Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK. RePEc:spr:binfse:v:66:y:2024:i:3:d:10.1007_s12599-024-00867-6.

Full description at Econpapers || Download paper

2024Heterogeneous Impacts of ACA-Medicaid Expansion on Insurance and Labor Market Outcomes in the American South. (2024). Shrestha, Vinish. In: Working Papers. RePEc:tow:wpaper:2024-08.

Full description at Econpapers || Download paper

2024Mapping Africas infrastructure potential with geospatial big data and causal ML. (2024). Krantz, Sebastian. In: Kiel Working Papers. RePEc:zbw:ifwkwp:305261.

Full description at Econpapers || Download paper

Works by Daniel Jacob:

YearTitleTypeCited
2020Group Average Treatment Effects for Observational Studies In: Papers.
[Full Text][Citation analysis]		paper5
2021CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning In: Papers.
[Full Text][Citation analysis]		paper12
2021Variable Selection for Causal Inference via Outcome-Adaptive Random Forest In: Papers.
[Full Text][Citation analysis]		paper0
2021CATE meets ML In: Digital Finance.
[Full Text][Citation analysis]		article4
2019Affordable Uplift: Supervised Randomization in Controlled Exprtiments In: IRTG 1792 Discussion Papers.
[Full Text][Citation analysis]		paper3
2020Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects In: IRTG 1792 Discussion Papers.
[Full Text][Citation analysis]		paper5

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