Jens Witkowski

562 total citations
20 papers, 256 citations indexed

About

Jens Witkowski is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Jens Witkowski has authored 20 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 11 papers in Economics and Econometrics and 7 papers in Artificial Intelligence. Recurrent topics in Jens Witkowski's work include Auction Theory and Applications (11 papers), Forecasting Techniques and Applications (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Jens Witkowski is often cited by papers focused on Auction Theory and Applications (11 papers), Forecasting Techniques and Applications (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Jens Witkowski collaborates with scholars based in Germany, United States and Switzerland. Jens Witkowski's co-authors include David C. Parkes, Peter Key, Yoram Bachrach, Pavel Atanasov, Lyle Ungar, Andreas Krause, Barbara A. Mellers, Philip E. Tetlock, Rafael Frongillo and Sven Seuken and has published in prestigious journals such as Management Science, Organizational Behavior and Human Decision Processes and International Journal of Forecasting.

In The Last Decade

Jens Witkowski

18 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jens Witkowski Germany	9	150	121	120	58	31	20	256
Goran Radanović Switzerland	10	154 1.0×	205 1.7×	163 1.4×	40 0.7×	44 1.4×	26	394
Bo Waggoner United States	6	79 0.5×	70 0.6×	70 0.6×	18 0.3×	7 0.2×	20	138
Alexandros Psomas United States	7	89 0.6×	73 0.6×	19 0.2×	45 0.8×	66 2.1×	22	265
Omer Lev Israel	11	153 1.0×	62 0.5×	23 0.2×	155 2.7×	11 0.4×	35	236
Christina Aperjis United States	10	80 0.5×	67 0.6×	35 0.3×	18 0.3×	50 1.6×	24	252
Meike Zehlike Germany	5	46 0.3×	65 0.5×	24 0.2×	32 0.6×	58 1.9×	8	193
Preston McAfee United States	6	110 0.7×	76 0.6×	123 1.0×	6 0.1×	49 1.6×	8	232
Taiki Todo Japan	11	190 1.3×	35 0.3×	52 0.4×	157 2.7×	39 1.3×	31	250
Rupert Freeman United States	11	221 1.5×	101 0.8×	12 0.1×	293 5.1×	16 0.5×	35	399
Daniel Friedman United States	5	65 0.4×	59 0.5×	8 0.1×	47 0.8×	25 0.8×	7	225

Countries citing papers authored by Jens Witkowski

Since Specialization

Citations

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

Fields of papers citing papers by Jens Witkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Witkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Witkowski. A scholar is included among the top collaborators of Jens Witkowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jens Witkowski. Jens Witkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Atanasov, Pavel, Jens Witkowski, Barbara A. Mellers, & Philip E. Tetlock. (2024). Crowd prediction systems: Markets, polls, and elite forecasters. International Journal of Forecasting. 41(2). 580–595. 1 indexed citations

Freeman, Rupert, Jens Witkowski, Jennifer Wortman Vaughan, & David M. Pennock. (2023). An Equivalence Between Fair Division and Wagering Mechanisms. Management Science. 70(10). 6704–6723. 1 indexed citations

Witkowski, Jens, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, & Andreas Krause. (2022). Incentive-Compatible Forecasting Competitions. Management Science. 69(3). 1354–1374. 11 indexed citations

Atanasov, Pavel, Jens Witkowski, Barbara A. Mellers, & Philip E. Tetlock. (2022). Crowd Prediction Systems: Markets, Polls, and Elite Forecasters. 1013–1014. 2 indexed citations

Witkowski, Jens, et al.. (2021). A Robust Bayesian Truth Serum for Small Populations. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1492–1498. 18 indexed citations

Atanasov, Pavel, Jens Witkowski, Lyle Ungar, Barbara A. Mellers, & Philip E. Tetlock. (2020). Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters. 873–874.

Atanasov, Pavel, Jens Witkowski, Lyle Ungar, Barbara A. Mellers, & Philip E. Tetlock. (2020). Small steps to accuracy: Incremental belief updaters are better forecasters. Organizational Behavior and Human Decision Processes. 160. 19–35. 30 indexed citations

Witkowski, Jens, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, & Andreas Krause. (2018). Incentive-Compatible Forecasting Competitions. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 7 indexed citations

Frongillo, Rafael & Jens Witkowski. (2017). A Geometric Perspective on Minimal Peer Prediction. 5(3). 1–27. 5 indexed citations

10.

Witkowski, Jens, Pavel Atanasov, Lyle Ungar, & Andreas Krause. (2017). Proper Proxy Scoring Rules. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 12 indexed citations

11.

Frongillo, Rafael & Jens Witkowski. (2016). A Geometric Method to Construct Minimal Peer Prediction Mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 7 indexed citations

12.

Witkowski, Jens, Yoram Bachrach, Peter Key, & David C. Parkes. (2013). Dwelling on the Negative: Incentivizing Effort in Peer Prediction. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 190–197. 39 indexed citations

13.

Witkowski, Jens & David C. Parkes. (2013). Learning the Prior in Minimal Peer Prediction. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 13 indexed citations

14.

Witkowski, Jens & David C. Parkes. (2012). Peer prediction without a common prior. 964–981. 68 indexed citations

15.

Witkowski, Jens. (2011). Trust mechanisms for online systems. International Joint Conference on Artificial Intelligence. 2866–2867. 7 indexed citations

16.

Witkowski, Jens. (2011). Incentive-Compatible Trust Mechanisms. National Conference on Artificial Intelligence. 1 indexed citations

17.

Witkowski, Jens, Sven Seuken, & David C. Parkes. (2011). Incentive-Compatible Escrow Mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 751–757. 13 indexed citations

18.

Parkes, David C. & Jens Witkowski. (2011). Peer Prediction with Private Beliefs. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 5 indexed citations

19.

Witkowski, Jens. (2010). Truthful feedback for Sanctioning reputation mechanisms. Uncertainty in Artificial Intelligence. 658–665. 7 indexed citations

20.

Witkowski, Jens. (2009). Eliciting honest reputation feedback in a Markov setting. International Joint Conference on Artificial Intelligence. 330–335. 9 indexed citations

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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